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Psychosocial Intervention
Psychosocial Intervention (2020) xx(x) xx-xx
Cite this article as: S�nchez-Hern�ndez, M. D., Herrera-Enr�quez, M. C., & Exp�sito, F. (2020). Controlling behaviors in couple relationships in the digital age: Acceptability of gender
violence, sexism, and myths about romantic love. Psychosocial Intervention. Ahead of print. https://doi.org/10.5093/pi2020a1
ISSN:1132-0559/� 2020 Colegio Oficial de la Psicolog�a de Madrid. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Controlling Behaviors in Couple Relationships in the Digital Age: Acceptability
of Gender Violence, Sexism, and Myths about Romantic Love
M. Dolores S�nchez-Hern�ndez, M. Carmen Herrera-Enr�quez, and Francisca Exp�sito
Centro de Investigaci�n Mente, Cerebro y Comportamiento (CIMCYC), University of Granada, Spain
https://journals.copmadrid.org/pi
Funding: This research was supported by the Spanish Ministry of Economy and Competitiveness with the R&D projects “New forms of gender violence: Risk and protective factors
to the psychosocial wellbeing (PSI2017-84703-R)” and by a Grant from the FPU Program of the Spanish Ministerio de Ciencia, Innovaci�n y Universidades given to the first author.
Correspondence: mcherrer@ugr.es (M. C. Herrera-Enr�quez).
Psychosocial Intervention
Editor Enrique Gracia
Associate Editors
Fernando Chac�n
Manuel Garc�a-Ram�rez
Marisol LilaGonzalo Musitu
Douglas D. Perkins
Vol. 27. No. 1, April 2018
ISSN: 1132-0559
Consejo General
de la Psicolog�a
ESPA�A
ARTICLE INFO
Article history:
Received 6 March 2019
Accepted 22 June 2019
Available online 16 January 2020
Keywords:
ICT
Dating violence
Social perception
Sexism
Myths
A B S T R A C T
Young people have incorporated information and communication technology (ICT) and its influence on socialization as a
new instrument to exercise controlling behaviors in their relationships. The present research aims to analyse the influence
of some variables that affect social perception of those controlling behaviors, such as the adopted role on the scene
(i.e., protagonist vs. observer) and means of control that is used (i.e., face-to-face vs. WhatsApp) while considering the
effect of attitudinal variables: acceptability of intimate partner violence against women (IPVAW), ambivalent sexism, and
myths about romantic love. Two studies were implemented: Study 1 included women (n = 224) and Study 2 included
men (n = 120), all of them college students. The main results revealed that both women and men perceive controlling
behaviors amongst other peer couples; however, few of them recognize suffering or the exercise of these behaviors within
their relationships. In addition, data pointed out the adopted role on the scene and the ideological variables (ambivalent
sexism, acceptability of IPVAW, and myths about romantic love) that influenced social perception of dating violence;
however, there was no influence of means of control. This research contributes to the previous literature, evidencing that
controlling behaviors through technological means are accepted and normalized among young people. Additionally, it
shows novel data about young people’s social perception of controlling behaviors in their relationships, depending on
whether they adopt the role of observer or the role of protagonist in a violent situation.
Los comportamientos de control en la pareja en la era digital: la aceptaci�n de la
violencia de g�nero, el sexismo y los mitos del amor
R E S U M E N
Con las tecnolog�as de la informaci�n y la comunicaci�n (TIC) y su influencia en la socializaci�n, los j�venes han incorporado
un instrumento m�s para ejercer comportamientos controladores en sus relaciones de pareja. Esta investigaci�n pretende
analizar la influencia de algunas variables que afectan a la percepci�n social de estos comportamientos controladores,
como el rol del participante en el escenario (protagonista vs. observador u observadora) y el medio de control utilizado
(cara a cara vs. WhatsApp), considerando el efecto de las variables ideol�gicas: aceptabilidad de la violencia, sexismo y
mitos del amor rom�ntico. Se llevaron a cabo dos estudios: un primer estudio con mujeres (n = 224) y uno segundo con
hombres (n = 120), todos ellos estudiantes universitarios. Los principales resultados indicaron que tanto mujeres como
hombres observan comportamientos controladores en otras parejas de su edad, aunque pocos reconocen sufrir o ejercer
estos comportamientos en sus relaciones. Asimismo, se encuentra que el rol que se ocupa en el escenario y las variables
ideol�gicas (sexismo ambivalente, aceptabilidad de la violencia y mitos sobre el amor rom�ntico) influyen en la percepci�n
social de la violencia en la pareja, si bien no se encontr� influencia del medio de control. Estos hallazgos constituyen una
aportaci�n a la literatura existente, poniendo en evidencia que los comportamientos controladores ejercidos a trav�s
de los medios tecnol�gicos son aceptados y normalizados entre los j�venes y las j�venes. Asimismo, proporciona datos
novedosos sobre la percepci�n social que esta poblaci�n tiene de los comportamientos controladores en las relaciones en
funci�n de si se adopta el rol de observador o de protagonista de la situaci�n violenta.
Palabras clave:
TIC
Violencia en el noviazgo
Percepci�n social
Sexismo
Mitos

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M. D. S�nchez-Hern�ndez et al. / Psychosocial Intervention (2020) xx(x) xx-xx
Gender-based violence is defined as violence that men exercise
against women in order to maintain control and domination over
them. The Declaration on the Elimination of Violence Against Women
defines this type of violence as “any act of gender-based violence that
results in, or is likely to result in, physical, sexual or psychological
harm or suffering to women, including threats of such acts, coercion,
or arbitrary deprivation of liberty, whether occurring in public or
private life” (Res. A. G. 48/104; UN, 1994, p. 2). In Spain, intimate
partner violence (IPV) constitutes a public health problem. It is the
most common violence suffered by women (Mart�n-Fern�ndez,
Gracia, & Lila, 2018), whose impact reaches all sectors of society
(L�pez-Ossorio et al., 2018).
This social phenomenon not only manifests itself in adulthood, but
it also has an increasingly greater impact on youth and adolescence
(Borrajo & G�mez-Guadix, 2015). Terms such as “courtship violence”
or “dating violence” have been coined to refer to the abuse at the
stage of courtship or first date. Dating violence is the most used
concept globally and concerns “physical aggression, psychological
and emotional, verbal or implied abuse and which takes place both in
public and private” (Ely, Dulmus, & Wodarski, 2002).
A review by Leen et al. (2013) examined the prevalence of abuse
in this stage and found that psychological mistreatment (from 22 to
77%) was the most frequent form, followed by physical (from 2 to
44%) and sexual (from 1 to15%) violence. Psychological abuse is the
most-used form amongst young couples. O’Leary and Slep (2003)
asserted that it is assessed according to three indicators: verbal
aggression (i.e., shouting), behaviors of control and dominance (i.e.,
controlling the partner’s relationships with friends), and behaviors
of jealousy (i.e., checking where the partner has been; Mu�oz-Rivas,
Gra�a, & Gonz�lez, 2011).
Gender-based violence embodies multiple forms that evolve
according to society. As a result of the incorporation of information
and communication technology (ICT) in relationships, violence has
not been eradicated but it is occurring in a different way (Flores &
Browne, 2017). In this sense, violence through ICT is a recent problem
that expresses new forms of traditional violence, but it is still being
caused for the same patriarchal cultural reasons.
Information and Communication Technology (ICT)
It is important to pay attention to new forms of socialization that
emerge in today’s society and affect people’s lives and their personal
and social development. According to the National Statistics Institute
(Instituto Nacional de Estad�stica - INE, 2016), in Spain there were 28
million internet users, of which 82.9% used it every day; the mobile
phone was the most widely used device (93.3%) by young people. The
ability to communicate, share personal experiences, find solutions or
support, and access any person from any place or at any time have
caused ICT to become the primary source of interaction amongst
young people (Meg�as & Rodr�guez, 2014) who have been identified
as the digital generation.
Controlling Behaviors through New Technologies
Researchers have documented both positive and negative impacts
that arise from young people’s use of new technologies (Best,
Manktelow, & Taylor, 2014). For example, online interaction via mobile
phones can provide opportunities to strengthen relationships with
friends and partners (Subrahmanyam & Greenfield, 2008); however,
these same situations can become opportunities to threaten, harass,
and attack other users (Draucker & Martsolf, 2010; G�mez-Franco &
Send�n, 2014). Although ICT has fostered instruments that facilitate
interpersonal communication, such devices also have become a
means of control and violence against an abuser’s partner. According
to Donoso, Rubio, and Vil� (2017), control behaviors are the most
frequent form of online violence; examples of such behavior include
constantly checking up on the whereabouts of one’s partner and
confirming who she is with, checking her mobile phone, forcing the
partner to stop chatting with someone, forcing her to delete photos
or her social network friends or asking for the password to access her
personal accounts or social networks.
The situation is serious. One of the first studies about gender
violence and social perception found that abusive online control
through a mobile phone is the most exercised form by young people;
however, it is not perceived as gender violence (D�az-Aguado, 2013).
Recent research has compared both online and face-to-face contexts
and determined that 90% of young people believe there is more
gender violence in the online context (Donoso, Hurtado, & Vil�,
2018). On the other hand, young people state that they have observed
violent behaviors in their online network, but few of them declare to
have been a victim or aggressor (Donoso et al., 2018). In this way, it
seems that there is a widespread perception about the magnitude of
violence that is exercised through ICT instruments, but few people
identify themselves as victims or perpetrators. According to Donoso
et al. (2018), gender seems to be the best indicator of the type of
response a person has to dating violence: adolescent boys adopt more
passive behaviors when they observe gender violence in the online
context, whereas girls provide the victims more helpful behaviors.
Relationships are an important source of well-being and happiness
(Centro de Investigaciones Sociol�gicas, 2010). However, when the
relationship is conflicting and violent, it could become one of the
main causes of suffering (Garrido-Mac�as, Valor-Segura, & Exp�sito,
2017; Valor-Segura, Exp�sito, Moya, & Kluwer, 2014). The inability to
properly confront this situation could affect different psychosocial
areas such as self-esteem, loneliness, social support, and life
satisfaction (G�mez-Franco & Send�n, 2014). Some of the strategies
used by women to confront cyber dating violence are to delete
published content in their social networks, change publications to
avoid anger, diminish activity in social networks, or disable their
accounts (Vitak, Chadha, Steiner, & Ashktorab, 2017); that is to say,
behaviors that isolate and limit women’s lives in the technological
realm are similar to those that occur in conjunction with traditional
violence (Exp�sito, 2011).
In this sense, sexist attitudes and myths about romantic love
acquire special importance as they are perpetuated even more
intensely through social networks.
Sexist Attitudes and Myths about Romantic Love
Sexist attitudes and myths about romantic love are situated at
the base of these new forms of relationship between young people.
Sexism is defined as the beliefs and attitudes held in traditional gender
stereotypes regarding the roles that are considered appropriate for
men and women and the relationships that must be kept between
both members of the couple (Moya, 2003). According to the
Ambivalent Sexism Theory (Glick & Fiske, 1996), traditional sexism is
divided in two different components: hostile sexism and benevolent
sexism. The hostile component reflects a negative view of women
and is manifested towards those who do not assume traditional roles
and, thereby representing a threat to the superiority and domination
of the male (Glick & Fiske, 2001). Benevolent sexism carries a positive
connotation because it considers that women need affection and
protection and positively value those who assume traditional roles
(Glick & Fiske, 2001).
Different authors agree that ambivalent sexism is positively
related to justification of violent attitudes against the partner in
the traditional context (Herrera, Exp�sito, & Moya, 2012; Herrero,
Rodr�guez, & Torres, 2017; Valor-Segura, Exp�sito, & Moya, 2011)
and victim-blaming (Gracia, Garc�a, & Lila, 2014; Mart�n-Fern�ndez,
Gracia, & Lila, 2018; Vidal-Fern�ndez & Meg�as, 2014). Furthermore,

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ICT and Gender Violence
an association has been found between acceptability of intimate
partner violence against women (IPVAW) and perpetration of it (Copp,
Giordano, Longmore, & Manning, 2016; Gracia, Rodr�guez, & Lila,
2015), so high grades of acceptability of IPVAW increase the likelihood
that men exercise violence in the couple and that this violence will
be justified and normalized by victims (Mart�n-Fern�ndez, Gracia,
Marco et al., 2018; Waltermaurer, 2012). Additionally, high levels
of acceptability of IPVAW have been associated with high levels of
ambivalent sexism (Mart�n-Fern�ndez, Gracia, Marco et al., 2018). In
a technological context, several researchers agree that ICT devices
facilitate the consolidation of gender stereotypes and a symbolic
violence that legitimates models of domination based on patriarchal
culture and distinction by sex (Donoso, Ba�os, Hurtado, & Soto, 2016;
Flores & Browne, 2017). In particular, Ellsberg et al. (2015) pointed out
that the sexist ideology regularly manifest itself as possessiveness and
as controlling behaviors when ICT (WhatsApp, Instagram, Facebook,
etc.) is used. However, ICT can also be used as a tool for combating
sexism and for educating on equality. For example, Navarro-P�rez,
Carbonell, and Oliver (2019) recently determined that an intervention
with a mobile app for reducing sexism, which Navarro-P�rez, Oliver,
Morillo, and Carbonell (2018) designed, was effective, decreasing the
level of sexism in adolescents between 6 and 12%.
On the other hand, myths about romantic love refer to the set of
unreal and distorted beliefs about the supposed nature of love (i.e.,
soul mates, exclusivity, faithfulness, jealousy, etc.; Ferrer, Bosch,
& Navarro, 2010; Yela, 2003). These myths are socially accepted
and contribute to the maintenance of gender stereotypes and the
asymmetric power between men and women (Bosch & Ferrer,
2012; Nardi-Rodr�guez, Pastor-Mira, L�pez-Roig, & Ferrer-P�rez,
2018; Rodr�guez-Castro, Lameiras-Fern�ndez, Carrera-Fern�ndez,
& Vallejo-Medina, 2013). Young people are especially vulnerable to
the influence of myths about romantic love; they have a distorted
impression about what love is and how members of the couple relate
to each other (Ferrer et al., 2010; Sharpe & Taylor, 1999). Borrajo,
G�mez-Guadix, and Calvete (2015) found that beliefs in myths about
romantic love were related to controlling behaviors in the couple
fostered by new technology. Young people justify and accept these
abusive behaviors (i.e., constantly checking where and with whom
one’s girlfriend may be or sharing passwords in their social networks)
because they consider them to be expressions of love or worry in their
relationships (Nardi-Rodr�guez et al., 2018; Redondo, Ramis, Girbis,
& Schubert, 2011). On the other hand, Garc�a and Gimeno (2017)
observed in a sample of undergraduate students that women are
more vulnerable than men to the influence of myths about romantic
love. Specifically, they pointed out that women show an idealization
of love, an unconditional commitment to the relationship, including
a high sense of protection and care of the other above satisfaction of
their own needs and interests. As teenagers and young adults prefer
the use of technology in order to communicate and traditional forms
of contact are less frequent (Col�s, Gonz�lez, & De Pablos, 2013), it is
necessary to analyse the use of ICT instruments and the variables that
affect the process of minimization, normalization, and perpetuation
of dating violence.
The Current Research
The present research aims to analyse and understand young
people’s social perception about controlling behaviors in the couple
that is fostered by new technologies. Two studies were carried out,
the first with women and the second with men. The studies share
the objectives to, on the one hand, understand the frequency with
which young people experience and perceive control in relationships
and, on the other hand, analyse the influence of some variables that
affect social perception of that control, the adopted role on the scene
(protagonist vs. observer) and the means of control that is used
(face-to-face vs. WhatsApp) by considering the effect of ideological
variables such as acceptability of IPVAW, ambivalent sexism, and
myths about romantic love.
Study 1
Hypothesis
H1. Young women identify more easily with violence against the
partner when they adopt the role of observer (vs. protagonist), so it
is expected that they:
H1a. Express a lower justification of violent behavior
H1b. Perceive a greater severity of the situation
H1c. Perceive a greater risk of suffering dating violence
H2. Young women identify controlling behaviors amongst the
couple to a lesser extent when it takes place through WhatsApp (vs.
face-to-face). Specifically, it is expected that they:
H2a. Express a greater justification of violent behavior
H2b. Perceive a lower severity of the situation
H2c. Perceive a lower risk of suffering dating violence
H3. Ideological variables (ambivalent sexism, acceptability of
IPVAW, and myths about romantic love) affect young women’s social
perceptions about dating violence, so it is expected that participants
with high scores for these ideological variables express the following:
H3a. A greater justification of violent behavior
H3b. A lower perception of severity
H3c. A lower risk of suffering dating violence
Method
Participants. The sample consisted of 224 female undergraduate
students at the University of Granada, Spain. The age of the
participants ranged from 18 to 34 years (M = 20, SD = 2.2). A total of
88.8% of participants had Spanish nationality, 10.7% were immigrants
and 0.4% did not indicate their nationalities. Regarding their sexual
orientations, 90.6% of participants were heterosexual, 2.7 % were
homosexual, 5.4% were bisexual and 1.3% did not indicate their
sexual orientations. Concerning their civil statuses, the majority of
the participants were single (73.2%), 0.4% were married, 0.4% were
divorced, and 25.9% were dating.
Design and procedure. A between-subjects 2 (adopted role on
the scene: protagonist vs. observer) x 2 (means of control used: face-
to-face vs. WhatsApp) factorial design was employed through the
scenario manipulation technique.
The sample was obtained through incidental sampling in different
classrooms within several faculties at the University of Granada,
Spain. First, we contacted the course teacher of each class by email
and asked for his/her permission to conduct the study during his or
her class period. Next, a researcher was trained to give participants
appropriate instructions and to carry out the experiment. All
participants were assured that their information and responses
would remain anonymous and confidential. The students were
informed that their participation in this research was voluntary, and
that they could quit the study at any time. Therefore, the task would
only be completed in a session in their habitual classrooms, with
the course teacher always present. Having got informed consent,
the participants were randomly assigned to one of the experimental
conditions and were given approximately 15 minutes to complete a
questionnaire. Once all students had completed the questionnaire,
they were informed of the study’s objectives.
Instruments. A questionnaire containing all of the variables to
be measured was designed. The first step was to present a scenario
about dating violence, corresponding to experimental manipulation
(see Appendix A). To design the fictitious scenarios, we used the
previous research by Navarro-P�rez, et al. (2018) as our basis. In this

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M. D. S�nchez-Hern�ndez et al. / Psychosocial Intervention (2020) xx(x) xx-xx
way, we recreated situations of daily life, adapting them to WhatsApp
context, with the aim of giving it more realism.
Thereafter, the following instruments were administered:
Manipulation check. Two items with a dichotomous response
format (yes vs. no) were used to verify the effectiveness of
the experimental manipulation: a) Adopted Role on the Scene
independent variable (IV): “Is it a scenario that occurred between
the members of a young couple, Juan and Mar�a?” (MC1), “Is it a
hypothetical situation between you and your partner?” (MC2); and
b) Means of Control independent variable (IV): “The communication
between the man and woman was through a mobile platform
(WhatsApp)?” (MC3), “The communication between the man and the
woman has been personal (face-to-face)?” (MC4).
Thereafter, the perceived severity and justification of violent
behavior was evaluated through two items, which were an adaptation
of those that other authors used in their studies, such as Garrido-
Mac�as et al. (2017), Milesi, S�ssenbach, Bohner, and Meg�as (2019),
Valor-Segura et al. (2011), and Vidal-Fern�ndez and Meg�as (2014).
Perceived severity. It was evaluated through the item: “How
severe do you consider the described episode?”. A 7-point Likert-
type response format that ranged from 1 (nothing severe) to 7 (very
severe) was used.
Justification of violent behavior. This variable was measured
through one of the following items, according to the experimental
condition: “How justified do you consider Juan’s behavior to be” (observer
condition) or “How justified do you consider your partner’s behavior to
be” (protagonist condition). The response format was a Likert type that
ranged from 1 (completely unjustified) to 7 (completely justified).
The frequency at which young people experience and perceive
controlling behaviors in their relationships and amongst others young
couples was evaluated through two items, which were designed
based on the Gender Cyber Violence Questionnaire (Donoso, 2014).
Experiences of controlling behaviors in participants’ own
relationships. These experiences were asked through the following
item: “How often have you experienced similar or equal situations in
your relationships?”. This statement was evaluated by using a 7-point
Likert scale (1 = never, 7 = always).
Frequency of controlling behaviors in young couples. This
variable was evaluated through the item “How often do you think
these situations occur amongst young couples?” The response format
was a Likert type that ranged from 1 (never) to 7 (always).
Subjective risk perceived of dating violence. This element
was evaluated by using an adaptation of the self-anchoring scaling
designed by Kilpatrick and Cantril (1960), which consisted of showing
the participants a pictorial non-verbal scale, such as the 10-point
ladder scale, preceded by the following instructions: “Suppose
the next ladder represents various levels of risk of violence in a
couple. The highest part of the ladder represents a maximum risk of
violence within the relationship, whereas the lowest part represents
a minimum risk”. Next, we asked them to mark the box that best
represented their perceptions of the risk of suffering dating violence.
The Acceptability of Intimate Partner Violence against Women
Scale (A-IPVAW; Mart�n-Fern�ndez, Gracia, Marco et al., 2018). This
scale consisted of 20 items that were scored on a 4-point Likert-
type scale (1 = nothing acceptable, 4 = very acceptable). High scores
were indicative of greater acceptance of intimate partner violence
against women. The A-IPVAW consisted of three dimensions:
physical violence (i.e., “I think it is acceptable for a man to hit his
partner if she has been unfaithful”), verbal violence or coercion (i.e.,
“I think it is acceptable for a man to shout at his partner if she is
constantly nagging/arguing”), and emotional violence (i.e., “I think
it is acceptable for a man to threaten to injure his partner or others
if she leaves him”). The alpha coefficient for the total scale was .60.
In this study, only global scores were analyzed because the primary
objective was to obtain an overview of acceptability of the IPVAW
rather than a detailed analysis of each specific dimension.
The Ambivalent Sexism Inventory (ASI; Exp�sito, Moya, & Glick,
1998). This questionnaire consisted of 22 items rated with a 6-point
response format ranging from 0 = totally disagree to 5 = totally agree.
High scores revealed more sexist attitudes. Half of the items were
related to hostile sexism (HS; i.e., “Women get easily offended,”
“Women always exaggerate the problems they have at work”), and
the other half were related to benevolent sexism (BS; i.e., “Women are
bestowed with a purity that few men possess”). The alpha coefficient
of the hostile sexism subscale was .87; that of the benevolent sexism
subscale was .82.
Myths Scale toward Love (Bosch et al., 2007; adapted in an
adolescent sample by Rodr�guez-Castro et al., 2013). The scale
consisted of seven items. The response format was a 5-point Likert
type that ranged from 1 = totally disagree to 5 = totally agree. The
alpha coefficient for the scale was .69.
Demographic information. The students’ gender, age, sexual
orientation, and marital status were measured at the end of the
questionnaire.
Data Analysis. Data analysis was carried out using the SPSS pro-
gram, version 23. Firstly, a chi-square test was applied to assess the
manipulations’ efficacy. After that, in order to assess the frequency
at which young women experience and perceive controlling be-
haviors in their relationships and amongst other young couples,
descriptive analyses of frequencies were performed. Next, several
hierarchical regression analyses were performed with the objective
of verifying our predictions about the influence of the adopted role
on the scene, the means of control used, and the ideological vari-
ables (acceptability of IPVAW, sexism, and myths about romantic
love) on the social perception of dating violence.
Results
Manipulation check. The analysis revealed that all of the
experimental manipulations were effective. Regarding the Adopted
Role on the Scene IV, in MC1, 100% of the participants indicated
that the episode happened between Juan and Mar�a when they
belonged to the observer condition, and 57% of women indicated
that the situation did not happen between Juan and Mar�a when
they belonged to the protagonist condition, so differences were
statistically significant, χ�(1, 223) = 78.66, p <.001. According to using
the rules of thumb for low, moderate, and large effect sizes (Cohen,
1988, p. 532), the analysis showed a Cramer’s V coefficient = .59, so a
large effect size was obtained. In MC2, 60% of young women said that
the situation was a hypothetical situation about their relationships
when they were allocated to the protagonist condition, whereas
90.27% of participants did not consider this to be a hypothetical
situation about their relationships when they were allocated to the
observer condition, χ�(1, 223) = 62.30, p < .001. Cramer’s V coefficient
was .53, revealing a large effect size.
Regarding Means of Control IV, in MC3, 99.1% of participants
indicated that the communication took place via a mobile phone
when they belonged to the WhatsApp condition, whereas 96.4%
of participants who were allocated to the face-to-face condition
indicated that communication did not take place via a mobile
phone, χ�(1, 224) = 204.59, p <.001. The analysis showed a Cramer’s V
coefficient = .96, so a large effect size was obtained. In MC4, the results
revealed that 99.1% of participants considered that communication
occurred in person when they were allocated to the face-to-face
condition, whereas 99.1% indicated that communication did not take
place in person when they belonged to the WhatsApp condition, χ�(1,
223) = 215.07, p < .001. A large effect size was obtained (Cramer’s V
= .98).
Frequency of controlling behaviors in relationships. To assess
the frequency at which young women experience and perceive
controlling behaviors in their relationships and amongst other young

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ICT and Gender Violence
couples, descriptive analyses of frequencies were performed. The
results showed that 84.8% of young women considered controlling
behaviors to frequently occur amongst young couples; however,
82.9% declared that they had never or hardly ever suffered from these
behaviors in their relationships.
Influence of adopted role on the scene, means of control used,
and ideological variables on social perception of dating violence.
To analyse the influence of some variables that affect social perception
of that control, specifically adopted role on the scene (Hypothesis
1), means of control that was used (Hypothesis 2), and ideological
variables, such as the acceptability of IPVAW, ambivalent sexism,
and myths about romantic love (Hypothesis 3), several hierarchical
regression analyses were performed with the following dependent
variables: 1) perceived severity of the situation, 2) justification of
violent behavior, and 3) perceived subjective risk of dating violence.
The same procedure was applied for each analysis. Step 1 assessed
adopted role on the scene (protagonist = 0, observer = 1) and means
of control (face to face = 0, WhatsApp = 1) and the participants’
centered scores in Hostile Sexism, Benevolent Sexism, Acceptability
of Intimate Partner Violence Against Women (A-IPVAW), and Myths
about Romantic Love. Step 2 involved second-order interactions
between experimental manipulations and ideological variables. The
results obtained are shown in Table 1.
According to Hypothesis 1, in the first step of regression analyses we
found a significant effect of the Adopted Role on the Scene IV on perceived
subjective risk of dating violence, β = -.225, p ≤ .001, 95% CI [.098, .351].
Thus, participants who were allocated to observer condition perceived a
greater subjective risk of dating violence in comparison with participants
who were allocated to protagonist condition, which supported H1c.
7
6
5
4
3
2
1
P
erceiv
e
d se
v
erity
Low A-IPVAW
Face to face
Whatsapp
Higt A-IPVAW
Figure 1. Interaction between Means of Control and Acceptability of Intimate
Partner Violence Against Women (A-IPVAW) on Perceived Severity.
Regarding Means of Control IV, regression analyses did not
show any simple effect on dependent variables (p > .05), rejecting
Hypothesis 2 (see Table 1). However, the second step revealed
the effect of a statistically significant interaction between means
of control that was used and the A-IPVAW on the measure of
perceived severity of the situation, β = .209, p = .013, 95% CI [.073,
.615]. Specifically, in face-to-face condition low levels of A-IPVAW
Table 1. Role on the Scene, Means of Control and Attitudinal Variables as Predictors of Social Perception of Dating Violence
Severity
Justification
Risk of dating violence
V Predictor
β
t
p
95% CI
β
t
p
95% CI
β
t
p
95% CI
Step 1
VI1
.013
0.193
.847
[-.117, .143]
-.082
-1.280
.202
[-.207, .044]
.225
3.500
.001
[.098, .351]
VI2
-.005
-0.074
.941
[-.135, .125]
.001
0.015
.988
[-.124, .126]
.036
0.559
.577
[-.091, .162]
HS
-.118
-1.490
.137
[-.274, .038]
.232
3.040
.003
[.081, .383]
-.186
-2.410
.017
[-.337, -.034]
BS
-.140
-1.770
.078
[-.296, .016]
.141
1.850
.066
[-.009, .292]
-.089
-1.150
.250
[-.240, .063]
R2
.05
.110
.11
ΔR2
.03
.100
.09
A-IPVAW
-.285
-4.390
.000
[-.413, -.157]
.354
5.610
.000
[.230, .479]
-.207
-3.190
.002
[-.334, -.079]
R2
.08
.130
.09
ΔR2
.07
.120
.08
Myths
-.108
-1.600
.112
[-.241, .025]
.148
2.220
.028
[.016, .281]
-.252
-3.930
.000
[-.376, -.125]
R2
.01
.030
.11
ΔR2
.01
.040
.10
Step 2
IV1 x IV2
.035
0.529
.598
[-.095, .165]
-.055
-0.870
.385
[-.182, .07]
.039
0.615
.539
[-.087, .166]
IV1 x HS
-.039
-0.497
.620
[-.196, .117]
.001
0.010
.992
[-.151, .152]
.088
1.140
.257
[-.064, .240]
IV2 x HS
-.052
-0.424
.672
[-.390, .252]
-.058
-0.484
.629
[-.387, .234]
.158
1.310
.190
[-.104, .520]
IV1 x BS
.081
0.988
.324
[-.081, .243]
.074
0.934
.352
[-.083, .231]
.073
0.923
.357
[-.084, .231]
IV2 x BS
.261
2.440
.016
[.077, .725]
-.132
-1.270
.204
[-.516, .111]
.030
0.284
.777
[-.269, .360]
R2
.09
.140
.14
ΔR2
.05
.110
.11
IV1 x IPVAW
.063
0.954
.341
[-.068, .195]
.096
1.470
.142
[-.032, .225]
-.042
-0.617
.538
[-.175, .092]
IV2 x IPVAW
.209
2.50
.013
[.073, .615]
-.049
-0.596
.552
[-.346, .185]
-.001
-0.014
.989
[-.276, .272 ]
R2
.11
.140
.09
ΔR2
.08
.120
.07
IV1 x Myths
.009
0.133
.895
[-.125, .143]
-.016
-0.242
.809
[-.149, .117]
.091
1.420
.157
[-.035, .217]
IV2 x Myths
-.129
-1.43
.155
[-.464, .074]
.094
1.040
.298
[-.149, .117]
-.039
-0.452
.652
[-.311, .195]
R2
.02
.040
.12
ΔR2
.01
.010
.10
Note. Independent variable 1 (IV1) = role on the scene; Independent variable 2 (IV2) = means of control; HS = hostile sexism; BS = benevolent sexism; A-IPVAW = acceptability of intimate partner violence against women;
BCI = bootstrapping confidence interval.

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M. D. S�nchez-Hern�ndez et al. / Psychosocial Intervention (2020) xx(x) xx-xx
predicted a greater perception of severity in comparison with high
levels. However, in WhatsApp condition acceptability of IPVAW did
not predict perceived severity (see Figure 1).
In addition, regression analyses showed the effect of another
statistically significant interaction between IV Means of Control
and benevolent sexism on the ‘perceived severity of the situation’
measure, β = .261, p = .016, 95% CI [.077, .725]. In the same way, in
the face-to-face condition, low levels of benevolent sexism predicted
a greater perception of severity in comparison with high levels. In
contrast, in WhatsApp condition, benevolent sexism did not predict
perceived severity (see Figure 2).
7
6
5
4
3
2
1
P
erceiv
e
d se
v
erity
Low BS
Face to face
Whatsapp
Higt BS
Figure 2. Interaction between Means of Control and Benevolent Sexism (BS) on
Perceived Severity.
Finally, regression analyses indicated that ideological variables
predict significantly social perception of controlling behaviors in
the relationship, which supported Hypothesis 3. In particular, high
levels of hostile sexism predicted a greater justification of violent
behavior and a lower perceived risk of dating violence. On the other
hand, high scores for A-IPVAW predicted a greater justification of
violent behavior, a lower perceived severity, as well as a lower
perceived risk of suffering dating violence. In addition, high beliefs
in myths about romantic love predicted a greater justification and
a lesser perceived risk of dating violence (see Table 1).
Discussion
On the one hand, the present study’s aim was to understand
the frequency with which young people experience and perceive
controlling behaviors in relationships. The results showed that young
women considered controlling behaviors to frequently occur amongst
young couples (84.8%); however, they declared that they had never
or hardly ever suffered from these behaviors in their relationship
(82.9%). These findings are consistent with the results by Donoso et al.
(2016), who found that young people perceived controlling behaviors
amongst other couples of their ages, yet few of them stated that they
experienced control struggles in their relationships.
On the other hand, Study 1 aimed to explore young people’s social
perception about controlling behaviors in relationships. Based on
Hypothesis 1, we predicted that young women who adopted the
role of observer (observer condition) in the described episode would
more easily identify violence against the partner, in comparison with
women who read the hypothetical episode about her relationship
(protagonist condition). The main results indicated that the Adopted
Role on the Scene IV predicted perceived subjective risk of dating
violence in the expected direction, which supported H1c. Women
who were allocated to the observer condition perceived a greater
subjective risk of dating violence, in comparison with women who
were allocated to the protagonist condition. However, the adopted
role on the scene was not found to predict perceived severity of the
situation and justification of violent behavior, rejecting H1 (a and
b). Again, this result is consistent with the findings by Donoso et al.
(2018), given that young women identify a greater risk of suffering
from dating violence when they adopt the role of observer, that is,
when controlling behaviors occur in couples besides their own
relationships, as we observed in descriptive analyses performed
previously. In this way, it seems that a widespread perception exists
of the magnitude of controlling behaviors that are exercised within
relationships, but few women identify themselves as victims. Women
tend to use a series of personal and social mechanisms to face this
experience, such as denial. Denying abuse constitutes a psychological
defense mechanism; it does not mean lying or hiding what happens
(Exp�sito, 2011).
According to Hypothesis 2, it was expected that the Means
of Control IV that was used predicted perception of controlling
behaviors in relationships. Specifically, it was believed that
young women belonging to the WhatsApp condition would
identify controlling behaviors in a couple to a lesser extent than
young women belonging to the face-to-face condition. However,
means of control that was used did not predict any dependent
variables (perceived severity of the situation, justification of
violent behavior, and perceived risk of suffering dating violence),
rejecting H2. These results could be due to the fact that controlling
behaviors were reproduced through new technologies; thus, they
were perceived with the same normality as in a traditional context.
In addition, the results pointed out the effect of two significant
interactions on perceived severity: on the one hand, interaction
between means of control and acceptability of IPVAW (see Figure
1); and on the other hand, an interaction between means of
control and benevolent sexism (see Figure 2). In the face-to-face
condition, lower levels (vs. high levels) of acceptability of IPVAW
and benevolent sexism predicted a greater perception of severity;
however, in the WhatsApp condition, these ideological variables
did not predict perceived severity. The fact that acceptability of
IPVAW and benevolent sexism did not affect perceived severity
of the situation and justification of abusive behavior when the
episode occurs in WhatsApp suggests that women are accepting
and normalizing controlling behaviors online. These behaviors can
be normalized due to the high frequency with which they occur in
a technological context (Flores & Browne, 2017; Nardi-Rodr�guez
et al., 2018), with young people considering what is common to be
normal. In addition, according to Est�banez and V�zquez (2013),
women could consider these behaviors to be signs of worry and
love instead of new manifestations of dating violence. In addition,
it is important to consider the subjective nature of communication
through WhatsApp, where messages between transmitter
and receiver are subject to a high degree of interpretation. For
example, a woman could think that her partner is joking or that
he is not truly angry. However, the ideological variables predicted
perception of severity and justification of abusive behavior when
the episode occurred face-to-face. Perhaps, this could be due to
the fact that control behaviors occur less frequently in a traditional
context and, therefore, are more socially rejected. Young people are
less accustomed to observe these behaviors face-to-face, so women
with low levels of acceptability of IPVAW and benevolent sexism
perceive a greater severity of the situation and justify it to a lesser
extent in comparison with women with a high acceptability of
IPVAW.
Finally, Study 1 proved the influence of ideological variables on
social perception of controlling behaviors exercised against one’s
partner, which substantiated Hypothesis 3. According to initial

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ICT and Gender Violence
predictions, a high degree of hostile sexism predicted a greater
justification of violent behavior and a lower perceived risk of dating
violence, replicating the findings by Herrera et al. (2012) and Herrero
et al. (2017). On the other hand, in agreement with the results by
Mart�n-Fern�ndez, Gracia, & Lila (2018) and Waltermaurer (2012),
high scores for A-IPVAW predicted a greater justification of violent
behavior, a lower perceived severity, as well as a lower perceived
risk of suffering dating violence. In addition, consistent with the
findings by Redondo et al. (2011), high beliefs in myths about
romantic love predicted a greater justification of violence and a
lower perceived risk of dating violence. These findings contribute to
previous research studies, as they demonstrate that sexist attitudes
and myths about romantic love are situated at the base of these new
forms of relationships between young people, legitimating models of
domination based on patriarchal culture and distinction by gender
(Donoso, et al. 2016; Flores & Browne, 2017).
Once young women’s perceptions of dating violence had been
explored, in a second study we aimed to examine social perceptions
of young men, replicating the basic findings of Study 1. At the same
time, we added two new variables, identification of controlling
behaviors and perceived threat due to the loss of power within the
relationship, as we considered these variables to be essential when
examining men’s social perceptions of dating violence. To explain
the phenomenon of dating violence, some researchers suggest
that perception of change or loss of control or power within a
relationship could motivate the aggression that a man exercises
towards his partner (Dutton, 1988). As result of this perceived loss
of power, some men react negatively and with strong resistance,
trying to maintain or regain power through the use of violence
(Babcock, Waltz, Jacobson, & Gottman, 1993; Dutton, 1988; Herrera
et al., 2012).
Study 2
Hypothesis
H1. Young men identify more easily with dating violence when
they adopt the role of observer (vs. protagonist), so it can be expected
that they:
H1a. Express a lower justification of violent behavior
H1b. Perceive a greater severity of the situation
H1c. Perceive a greater threat due to loss of power
H1d. Identify controlling behavior more easily
H2. Young men identify dating violence to a lesser extent when it
takes place through WhatsApp (vs. face-to-face). Specifically, it can
be expected that they:
H2a. Express more justification of violent behavior
H2b. Perceive a lower severity of the situation
H2c. Perceive a lower threat due to loss of power
H2d. Identify controlling behavior to a lesser extent
H3. Ideological variables (ambivalent sexism, acceptability of
IPVAW, and myths about romantic love) affect young men’s social
perceptions of dating violence, so it is expected that men with high
scores for these ideological variables express:
H3a. A greater justification of violent behavior
H3b. A lower perception of severity
H3c. A greater perception of a threat due to loss of power
H3d. A lower perception of controlling behavior
Method
Participants. The sample consisted of 120 male undergraduate
students at the University of Granada, Spain. The age of the
participants ranged from 18 to 34 years (M = 20.41, SD = 2.62). In
the sample, a total of 95% of participants had Spanish nationality,
4.2% were immigrants, and 0.8% did not indicate their nationalities.
Regarding their sexual orientations, the majority of the participants
were heterosexual (89.2%), 6.7% were homosexual, 2.5% were
bisexual, and, 1.7% indicated other sexual orientations. Concerning
their civil statuses, 83.3 % were single, 15.8% were dating, and 0.8%
did not indicate their civil statuses.
Design and procedure. The second study closely replicated the
procedures and design of Study 1, adapting the scenarios of dating
violence to young men (see Appendix B).
Instruments. The participants responded to the following scales:
Manipulation check. This element was tested through items
designed in Study 1.
Perceived severity. The following item was used to evaluate this
variable: “How severe do you consider the described episode?” (1 =
nothing severe, 7 = very severe).
Justification of violent behavior. This element was measured
using one of the following items, according to the experimental
condition: “How justified do you consider Juan’s behavior to be”
(observer condition) or “How justified do you consider your behavior
to be” (protagonist condition), (1 = completely unjustified, 7 =
completely justified).
Experiences of controlling Behaviors in their own relationships.
These experiences were evaluated through the question: “How often
have you suffered similar or equal situations in your relationships?”
(1 = never, 7 = always).
Frequency of controlling Behaviors in young couples. The
following item was used to evaluate this variable: “How often do you
consider that these situations occur in young couples?” (1 = never)
to 7 (always).
Perceived threat due to loss of power within the relationship.
This variable was evaluated through one of the following items,
according to the experimental condition: “To what extent do you
think that Juan feels that his power within the relationship is
threatened?” (observer condition) or “To what extent do you think
that your power within the relationship is threatened?” (protagonist
condition). It was scored on a 7-point Likert type scale (1 = nothing,
4 = a lot).
Perceived controlling behavior. Depending on the experimental
condition, one of the following questions was used: “Is Juan
controlling his partner?” (observer condition) or “Are you controlling
your partner?” (protagonist condition). The response format was a
7-point Likert type scale (1 = nothing, 4 = a lot).
Acceptability of Intimate Partner Violence against Women
Scale (A-IPVAW; Mart�n-Fern�ndez et al., 2018). The alpha coefficient
for the total scale was .63.
The Ambivalent Sexism Inventory (ASI; Exp�sito et al., 1998).
The alpha coefficient of the hostile sexism subscale was .94; that of
the benevolent sexism subscale was .84.
Myths Scale Towards Love (Bosch et al., 2007; adapted to an
adolescent sample by Rodr�guez-Castro et al., 2013). For this scale,
the outcome was α =.63.
Demographic information. Students’ gender, age, sexual
orientation, and marital status were measured at the end of the
questionnaire.
Data Analysis. Data analysis was carried out using the SPSS pro-
gram, version 23. Firstly, a chi-square test was used to assess ma-
nipulations’ efficacy. Next, in order to examine the frequency with
which young men experience and perceive controlling behaviors
in their relationships and amongst others young couples, descrip-
tive analyses of frequencies were performed. Thereafter, several
hierarchical regression analyses were performed with the objective
of verifying the initial predictions about the effect of adopted role
on the scene and means of control used on the social perception
of controlling behaviors in the couple, considering the ideological
variables.

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M. D. S�nchez-Hern�ndez et al. / Psychosocial Intervention (2020) xx(x) xx-xx
Table 2. Role on the Scene, Means of Control and Attitudinal Variables as Predictors of Social Perception of Dating Violence
Severity
Justification
V Predictor
β
t
p
95% CI
β
t
p
95% CI
Step 1
IV1
.062
0.720
.470
[-.169, .169]
-.055
-0.657
.512
[-.221, .111]
IV2
.025
0.292
.771
[-.146, .197]
-.069
-0.819
.414
[-.235, .097]
HS
-.220
-1.040
.044
[-.434, -.006]
.256
2.430
.017
[.047, .464]
BS
-.206
-1.900
.060
[-.421, .009]
.238
2.250
.026
[.029, .447]
R2
.15
.210
ΔR2
.12
.180
A-IPVAW
-.549
-6.930
.000
[-.706, -.392]
.251
2.750
.007
[.070, .430]
R2
.30
.080
ΔR2
.28
.050
Myths
-.239
-2.650
.009
[-.419, -.060]
.278
3.110
.002
[.101, .455]
R2
.07
.090
ΔR2
.04
.070
Step 2
IV1 x IV2
.152
1.680
.096
[.096, -.027]
-.114
-1.310
.193
[-.287, .059]
IV1 x HS
.004
0.035
.973
[-.238, .246]
.136
1.150
.26
[-.099, .370]
IV2 x HS
.134
1.110
.269
[-.105, .374]
-.109
-0.929
.355
[-.344, .124]
IV1 x BS
.088
0.763
.447
[-.141, .318]
-.233
-2.070
.040
[-.455, -.010]
IV2 x BS
-.123
-1.070
.285
[-.352, .105]
-.052
-0.462
.645
[-.275, .171]
R2
.20
.260
ΔR2
.13
.200
IV1 x IPVAW
.272
2.260
.026
[.033, .501]
-.145
-1.040
.300
[-.411, .128]
IV2 x IPVAW
.006
0.045
.964
[-.269, .281]
.228
1.143
.155
[-.088, .546]
R2
.34
.120
ΔR2
.30
.070
IV1 x Myths
.142
1.510
.133
[-.044, .330]
-.127
-1.350
.179
[-.315, 0.59]
IV2 x Myths
.091
0.972
.333
[-.095, .278]
-.027
-0.285
.776
[-.213, .159]
R2
.11
.110
ΔR2
.30
.110
Step 1
VI1
.179
2.120
.036
[.012, .347]
.307
3.460
.001
[.131, .169]
VI2
-.018
-0.200
.842
[-.194, .158]
-.091
-1.030
.308
[-.266, .085]
HS
-.220
-1.980
.051
[-.440, .001]
.113
1.010
.314
[-.108, .333]
BS
-.112
-0.998
.321
[-.333, .110]
-.059
-0.525
.601
[-.280, .163]
R2
.12
.120
ΔR2
.08
.090
A-IPVAW
-.403
-4.690
.000
[-.571, -.232]
.007
0.079
.937
[-.170, .184]
R2
.18
.110
ΔR2
.16
.090
Myths
.029
0.317
.752
[-.154, .213]
.090
1.020
.311
[-.085, .265]
R2
.03
.120
ΔR2
.03
.090
Step 2
IV1 x IV2
.041
0.441
.660
[-.143, .225]
-.056
-0.606
.546
{-.241, 1.28}
IV1 x HS
.109
0.866
.389.
[-.141, .359]
-.048
-0.380
.704
{-.299, .203}
IV2 x HS
.205
1.640
.104
[-.043, .455]
.110
0.873
.385
{-.140, .361}
IV1 x BS
-.022
-0.183
.855
[-.258, .215]
-.069
-0.578
.565
{-.307, .168}
IV2 x BS
-.182
-1.530
.129
[-.420, .054]
-.237
-1.990
.049
{-.477, -.001}
R2
.16
.160
ΔR2
.09
.090
IV1 x IPVAW
-.085
-0.644
.521
[-.340, .173]
.070
0.466
.642
[-.227, .367]
IV2 x IPVAW
.181
1.200
.235
[-.120, .483]
-.123
-0.779
.438
[-.439, .191]
R2
.21
.130
ΔR2
.16
.080
IV1 x Myths
.053
0.539
.591
[-.142, .248]
-.138
-1.480
.141
[-.234, .047]
IV2 x Myths
-.120
-1.240
.220
[-.315, .073]
.016
0.176
.861
[-.168, .200]
R2
.04
.130
ΔR2
.01
.090
Note. Independent variable 1 (IV1) = role on the scene; Independent variable 2 (IV2) = means of control; HS = hostile sexism; BS = benevolent sexism; A-IPVAW = acceptability of intimate partner violence against women;
BCI = bootstrapping confidence interval.

Page 9
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ICT and Gender Violence
Results
Manipulation check. The analysis revealed that all of the
experimental manipulations were effective. Regarding the Adopted
Role on the Scene IV, in MC1, the results showed that 100% of the
participants who were allocated to the observer condition indicated
that the episode happened between Juan and Mar�a, whereas 48.39%
of participants who were allocated to the protagonist condition
indicated that the situation did not happen between Juan and Mar�a,
so differences were statistically significant, χ�(1, 120) = 37.42, p < .001.
The analysis showed a Cramer’s V coefficient = .56, so a large effect
size was obtained. In Mc2, it was found that 46.77% of men said that
the situation was a hypothetical situation about their relationships
when they belonged to the protagonist condition, whereas 93.1% of
participants did not consider this to be a hypothetical situation when
they belonged to the observer condition, χ�(1, 120) = 23.90, p < .001. A
moderate effect size was obtained (Cramer’s V = .45).
Regarding the manipulation of the Means of Control IV, in MC3,
it was observed that 98.36% of participants who were allocated to
the WhatsApp condition indicated that communication occurred via
mobile phone, whereas 98.31% of men who were allowed to the face-
to-face condition indicated that communication did not take place via
a mobile phone, so the manipulation check was effective, χ�(1, 120) =
112.13, p < .001. The analysis pointed out a Cramer’s V coefficient = .97,
so a large effect size was obtained. In MC4, the results revealed that
96.61% of participants who belonged to the face-to-face condition
considered that communication occurred in person, whereas 96.72%
of participants who belonged to the WhatsApp condition indicated
that communication did not take place in person, χ� (1, 120) = 104.53,
p < .001. A large effect size was obtained (Cramer’s V = .93).
Frequency of controlling behaviors in relationships. To examine
the frequency with which young men experience and perceive
controlling behaviors in their relationships and amongst other young
couples, descriptive analyses of frequencies were performed. The
results showed that 92.5% of men declared that they had never or
hardly ever exercised controlling behaviors in their relationships;
however, 79.5% considered that these behaviors frequently happen
within young couples.
Influence of adopted role on the scene, means of control used,
and ideological variables on social perception of dating violence.
For the purpose of analysing the influence of adopted role on the scene
(Hypothesis 1) and means of control that were used (Hypothesis 2) on
social perception of controlling behaviors in the couple, considering
ideological variables, several hierarchical regression analyses were
performed. The steps of Study 1 were closely replicated and the
following dependent variables were entered: 1) perceived severity
of the situation, 2) justification of violent behavior, 3) perceived
threat due to loss of power within the relationship, and 4) perceived
controlling behavior. The results obtained are shown in Table 2.
According to Hypothesis 1, the analyses pointed out that the
Adopted Role on the Scene IV predicted the perception of threat due
to loss of power within the relationship, β = .307, p ≤ .001, 95% CI [.131,
.169], and identification of controlling behavior, β = .179, p = .036, 95%
CI [.012, .347], which supported H1 (c and d). In this way, participants
who were allocated to the observer condition predicted a greater
perception of threat due to loss of power and a greater identification
of controlling behavior, in comparison with participants who were
allocated to the protagonist condition (see Table 2).
In the second step, regression analyses revealed the effect of
a significant interaction between adopted role on the scene and
acceptability of IPVAW on the measure of perceived severity, β = .272,
p = .026, 95% CI [.033, .501], so in the protagonist condition, low levels
of A-IPVAW predicted a greater perception of severity of the situation
in comparison with high levels. However, in the observer condition,
acceptability of IPVAW did not predict perceived severity (see Figure 3).
7
6
5
4
3
2
1
P
erceiv
e
d se
v
erity
Low A-IPVAW
Protagonist
Observer
Higt A-IPVAW
Figure 3. Interaction between Adopted Role on the Scene and Acceptability of
Intimate Partner Violence Against Women (A-IPVAW) on Perceived Severity.
In addition, regression analyses showed the effect of another
statistically significant interaction between the Adopted Role on the
Scene IV and benevolent sexism on the measure of the justification
of the controlling behavior, β = -.233, p = .04, 95% CI [-.445, -.010]. In
the protagonist condition, low levels of benevolent sexism predicted
a lower justification of controlling behavior in comparison to high
levels; however, in the observer condition, benevolent sexism did
not predict justification of controlling behavior in the couple (see
Figure 4).
7
6
5
4
3
2
1
P
erceiv
e
d se
v
erity
Low BS
Protagonist
Observer
Higt BS
Figure 4. Interaction between Adopted Role on the Scene and Benevolent
Sexism (BS) on Justification of Controlling Behavior.
Regarding the Means of Control IV (face-to-face vs. WhatsApp)
regression analyses did not show a significant simple effect on
dependent variables (p > .05) (see Table 2), rejecting Hypothesis
2. However, the second step revealed the effect of a significant
interaction between means of control that was used and benevolent
sexism on the measure of perceived threat due to loss of power
within the relationship, β = -.237, p = .049, 95% CI [-.477, -.001], so in
the face-to-face condition, high levels of benevolent sexism predicted
a greater perception of threat in comparison with low levels. In
contrast, in the WhatsApp condition, benevolent sexism did not
predict perceived threat due to loss of power (see Figure 5).

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M. D. S�nchez-Hern�ndez et al. / Psychosocial Intervention (2020) xx(x) xx-xx
7
6
5
4
3
2
1
P
erceiv
e
d se
v
erity
Low BS
Face to face
Whatsapp
Higt BS
Figure 5. Interaction between Means of Control and Benevolent Sexism (BS) on
Perceived Threat due to the Loss of Power within the Relationship.
Lastly, consistent with Hypothesis 3, which sustained that
ideological variables would affect young men’s social perceptions
of dating violence, regression analyses showed a main effect of
sexism, myths about romantic love, and acceptability of IPVAW
on the dependent variables. Specifically, it was found that high
levels of hostile sexism predicted a greater justification of
violent behavior and a lower perceived severity of the situation.
Additionally, high scores for benevolent sexism predicted a greater
justification of aggressors’ behavior. Furthermore, high A-IPVAW
predicted a greater justification of violent behavior and a lower
perceived severity of the situation, as well as a lower identification
of controlling behavior in the couple. Finally, high scores for myths
about romantic love predicted high justification and low perception
of severity.
Discussion
Study 2 replicated results found in Study 1 regarding the
frequency with which young people experience and perceive control
in relationships. Data showed that 92.5% of men declared that they
had never or hardly ever exercised controlling behaviors in their
relationships. However, 79.5% considered that this type of behaviors
frequently happen within young couples. Consistent with findings of
Study 1 and providing empirical support for previous research, this
study pointed out that men frequently identify control in other young
couples, but few of them recognize to exercise controlling behaviors
against their partners (Donoso et al., 2016; Donoso et al., 2018).
As in Study 1, we predicted that men who adopted the role of
observer on the scene (observer condition) would more easily
identify violence against the partner compared with men who
adopted the role of protagonist (protagonist condition). Main results
showed that the Adopted Role on the Scene IV predicted perceived
threat due to loss of power and identification of controlling behavior
in the expected direction, which supported H1c. and H1d. Men who
were allocated to the observer condition perceived a greater threat
and a greater identification of controlling behavior, in comparison
with men who were allocated to the protagonist condition. However,
adopted role on the scene was not found to predict perceived severity
and justification of violent behavior, rejecting H1 (a and b). Again,
these results are consistent with results found in Study 1, so when
controlling behaviors that occur in couples outside of their own
relationships, men more easily identify these abusive behaviors
and recognize to a greater extent that the perpetrator felt that his
power within the relationship was threatened. It seems that male
perpetrators tend not to identify violent behaviors exercised against
their partners or the threat experienced within the relationship as
an adaptive mechanism for reducing their psychological discomfort
(Exp�sito, 2011).
On the other hand, the results pointed out the effect of a
statistically significant interaction between adopted role on the
scene and acceptability of IPVAW on perceived severity of the
situation (see Figure 3). In the protagonist condition, lower scores for
A-IPVAW predicted a greater perception of severity in comparison
with higher scores; however, in the observer condition, A-IPVAW
did not predict perceived severity. When men adopted the role of
observer on the scene, the social norm was active and the situation
was perceived as severe, as participants submitted above-average
scores for this. However, when men adopted the role of protagonist,
adaptive mechanisms were activated, so participants with high levels
of A-IPVAW perceived the situation as less severe in comparison with
participants with low levels of A-IPVAW, who rejected violence to
a greater extent. In addition, the effect of a significant interaction
between adopted role on the scene and benevolent sexism on
justification of controlling behavior was found (see Figure 4). In
the protagonist condition, low levels (vs. high levels) of benevolent
sexism predicted less justification of controlling behavior; however,
sexism did not predict this in the observer condition. When men
adopted the role of observer on the scene, they graded above average,
so they tended to justify controlling behaviors. In contrast, men who
adopted the role of protagonist activated adaptive mechanisms,
so when they scored low in benevolent sexism, they rejected the
situation of violence more and justified the aggressor’s behavior less.
Meanwhile, men with high levels justified the controlling behaviors
to a greater extent.
On the other hand, as previous data pointed out, men identified
to a greater extent controlling behavior and perceived threat due to
loss of power within the relationship in other peer couples. However,
at the same time, there appeared to be no effect of ideology on social
perception of dating violence of men who adopted the role of observer.
According to the data, they perceived the severity of the situation, but
at the same time they justified it. This could indicate that they took
on passive attitudes toward dating violence in cases where they were
not directly involved, which happened in the situation of Juan and
Maria. These results are consistent with the findings by Donoso et al.
(2018) in a study with adolescents, where boys adopted more passive
behaviors when they observed gender violence, in comparison with
girls, who provided more helping behaviors when dealing with
victims.
According to Hypothesis 2, it was expected that the Means of
Control IV that was used (face-to-face vs. WhatsApp) predicted social
perception of controlling behaviors in the relationship. Specifically,
it was believed men who were allocated to the WhatsApp condition
would identify control in the couple to a lesser extent than men
who were allocated to the face-to-face condition. In opposition to
our predictions, means of control that was used did not predict any
dependent variables (perceived severity of the situation, justification
of violent behavior, perception of controlling behavior, and threat due
to loss of power), rejecting H2. These findings were consistent with
results obtained in Study 1 and indicated that young men normalize
and accept technologies as new ways of exercising controlling
behaviors in the couple (Wright, 2017). Therefore, this type of
behaviors is identified similarly in both contexts: technological
(WhatsApp) and traditional (face-to-face).
Nevertheless, the results pointed out the effect of a significant
interaction between means of control and benevolent sexism on the
measure of perceived threat due to loss of power (see Figure 5). In
the face-to-face condition, high levels (vs. low levels) of benevolent
sexism predicted a greater perception of threat; however, in the
WhatsApp condition, benevolent sexism did not predict a perceived

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ICT and Gender Violence
threat. These results suggest that men experience threat due to loss
of power when an episode of control occurs through WhatsApp, as
they submitted above-average scores for this. However, the fact that
benevolent sexism did not affect perception of threat seems to indicate
that men have normalized these types of technological situations in
their relationships, probably because they happen very frequently
(Flores & Browne, 2017; Nardi-Rodr�guez et al., 2018). Conversely,
they are less accustomed to experience these situations face-to-face
with their partners, so men with high score for benevolent sexism
experience a greater threat due the loss of power, in comparison with
those men with low benevolent sexism.
Finally, as in Study 1, data proved the influence of sexism,
myths about romantic love, and acceptability of IPVAW on social
perception of controlling behaviors against the partner, which
supported Hypothesis 3 (a, b and c). Specifically, according to initial
predictions, it was found that high levels of hostile sexism predicted
a greater justification of violent behavior and a lower perceived
severity of the situation, replicating the findings by Herrera et al.
(2012) and Herrero et al. (2017). Additionally, in agreement with
the results by Valor-Segura, et al. (2011), high scores for benevolent
sexism predicted a greater justification of aggressors’ behavior.
Consistent with findings by Mart�n-Fern�ndez, Gracia, & Lila (2018)
and Waltermaurer (2012), a high acceptability of IPVAW predicted a
greater justification of violent behavior, as well as a lower perceived
severity and a lower identification of controlling behavior in the
couple. Finally, in agreement with the results by Redondo et al.
(2011), high scores for myths about romantic love predicted a high
justification of violence and low perception of severity. However,
ideological variables did not predict perceived threat due to the
loss of power within the relationship, rejecting H3d. Even so, these
results revealed that high beliefs in ideological variables constitute
an important risk factor of dating violence.
General Discussion
The present research aimed to explore young people’s social
perception about controlling behaviors in relationships, analysing
the influence of adopted role on the scene and means of control, as
well as the effect of ideological variables (i.e., ambivalent sexism,
acceptability of IPVAW, and myths of romantic love).
In an exploratory way, both studies pointed out that both women
and men frequently perceived controlling behaviors in other young
couples; however, few of them recognize suffering (women) or
exercising (men) control in their relationships.
Regarding the Adopted Role on the Scene IV, on the one hand,
women (Study 1) perceived a greater risk of dating violence when
they adopted the role of observer (vs. protagonist) in the described
episode; on the other hand, men (Study 2) identified controlling
behavior and threat due to the loss of power within the relationship
to a greater extent when they adopt the role of observer (vs.
protagonist) on the scene of dating violence. Instead, an effect of
the Means of Control IV on the perception of dating violence was
not found according to the described episode in either study. Even
so, these findings prove that controlling behaviors are reproduced
through new technologies. Thus, due to the high frequency with
which controlling behaviors occur in a technological context (Flores
& Browne, 2017; Nardi-Rodr�guez et al., 2018), these behaviors
are normalized, with young people accepting what is common as
normal. Finally, this research provides empirical support to previous
studies as it demonstrates the influence of sexism (Gracia et al., 2014;
Herrera et al., 2012; Herrero, et al., 2017; Mart�n-Fern�ndez, Gracia, &
Lila, 2018; Valor-Segura et al., 2011; Vidal-Fern�ndez & Meg�as, 2014),
myths about romantic love (Borrajo et al., 2015, Bosch & Ferrer, 2012;
Nardi-Rodr�guez et al., 2018; Rodr�guez-Castro et al., 2013), and the
acceptability of IPVAW (Mart�n-Fern�ndez, Gracia, Marco et al., 2018;
Waltermaurer, 2012) on both women’s and men’s perception about
dating violence.
It should be noted that this study has several limitations that
can most certainly be rectified in the future. An important issue
is that it did not ask participants if they had previously received
education or academic training on gender-based violence, which
could affect their perception of dating violence in the described
episode, so future studies should monitor this variable. Furthermore,
the methodology of scenes represents another important limitation.
Due to the impossibility of recreating real-life situations about dating
violence, the degree of spontaneity, precision, and real experience
that the hypothetical situations achieve should be treated with
caution. In addition, as all participants are university students from
Spain, future studies should try to work with heterogeneous samples
that would allow for the possible influence of cultural values, age,
and socio-demographics to be analyzed. Finally, when we assessed
manipulations’ efficacy, we observed that questions that were used
for checking the manipulation of the Role on the Scene IV (MC1
and MC2) generated confusion among participants. Specifically, we
observed that some participants who belonged to the protagonist
condition failed in MC1 and MC2 in both studies.. We believe it could
be due to the fact that these participants did not identify themselves
with the protagonist of the episode, either aggressor or victim.
Consequently, although we indicated to them that it was a hypothetical
scenario about their relationships, they failed in the experimental
manipulation. Again, this could be a way to deny that these situations
of violence are manifested in their relationships. Therefore, future
studies should consider this limitation and evaluate these denial
mechanisms that are used by the participants in situations of dating
violence. However, despite these limitations, these studies contribute
to previous literature, providing new information about the role of
young people as observers of dating violence.
The present research evidences that when participants adopt
the role of protagonist, women perceive the risk of suffering from
dating violence to a greater extent, whereas men experience a lesser
threat due to the loss of power within the relationship. Additionally,
this research underscores the importance of ambivalent sexism
and acceptability of IPVAW women as predictive variables in social
perception of dating violence, specifically in perceived severity and
justification of violent behavior. Moreover, it shows that myths about
romantic love constitute an important risk factor of dating violence, as
these myths predict a low perceived risk of dating violence amongst
women and a high justification of controlling behavior amongst men.
Likewise, given the fact that both studies demonstrated the influence
of ideological variables on social perception of dating violence online,
this research contributes to previous literature by demonstrating the
importance of using ICT as a tool for combating sexism and educating
on equality, just as Navarro-P�rez et al. (2019) recently tested in
their research. In short, this research reveals the need to develop
intervention programs that are based on risk perception of dating
violence, addressing the problem from a broad gender perspective,
which includes the importance of observers as key figures in the
confrontation of violence against women.
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Appendix A
Protagonist Condition
“Imagine that you have met some friends to go out tonight. Your boyfriend, whom you have been dating for 3 years, is going to stay at
home. While you’re getting dressed, your boyfriend comes by to see you. When he arrives, he asks you what time and with whom you will
meet and your boyfriend asks you through WhatsApp what time and with whom you will meet. You answer him: “I already told you I’m
going out with classmates and we’re meeting at around ten o’clock.” He keeps asking questions insistently, since he wants to know where
you’re going and what time you’re coming home. You answer that you’re going to dinner and after that, you are going to a downtown pub,
but you don’t know what time you’re coming home. Later, when you have finished getting dressed and he sees that you’ve put on a tight
dress with a low neckline/ you write to tell him that you’re leaving. Quickly, your boyfriend answers and requests you a photo to see how
beautiful you look. However, when he receives the picture and sees that you’ve put on a tight dress with a low neckline, he tells you that you
look too provocative to meet friends. You feel good about the clothes you’re wearing and you don’t want to change your outfit. Then your
boyfriend gets upset and you start to argue. In the end, after a long discussion, you decide to change your clothes and end the discussion as
soon as possible.”
Observer Condition
“Mar�a has met some friends to go out tonight. Her boyfriend, Juan, whom she has been dating for 3 years, is going to stay at home. While
Mar�a is getting dressed, Juan goes home to see her. When he arrives, he asks Mar�a what time and with whom she will meet/ Juan asks to
Mar�a through WhatsApp what time and with whom she will meet. Mar�a answers him: “I already told you I’m going out with classmates
and we’re meeting at around ten o’clock.”Juan keeps asking questions insistently since he wants to know where she’s going and what time
she’s coming home. Mar�a answers him that she’s going to dinner and after that, she’s going to a downtown pub, but she doesn’t know what
time she’s coming home. Later, when Mar�a has finished getting dressed and Juan sees that she’s put on a tight dress with a low neckline/
she writes to Juan to tell him that she’s leaving. Quickly, Juan answers and requests that Mar�a send him a photo to see how beautiful she
looks. However, when Juan receives the picture and sees that she’s put on a tight dress with a low neckline, he tells Mar�a that she looks too
provocative to meet friends. Mar�a feels good about the clothes she’s wearing and she doesn’t want to change her outfit. Then Juan gets upset
and they start to argue. In the end, after a long discussion, Mar�a decides to change her clothes and end the discussion as soon as possible.”

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ICT and Gender Violence
Appendix B
Protagonist Condition
“Imagine that your girlfriend, whom you have been dating for 3 years, has met some friends to go out tonight and you are going to stay
at home. While your girlfriend is getting dressed, you go to her home to see her. When you arrive, you ask her what time and with whom
she is meeting / you ask her through WhatsApp what time and with whom she is meeting. Your girlfriend answers: “I already told you I’m
going out with classmates and we’re meeting at around ten o�clock.” You keep asking questions insistently, since you want to know where
she’s going and what time she’s coming home. Your girlfriend answers that she’s going to dinner and after that, she’s going to a downtown
pub, but she doesn’t know what time she’s coming home. Later, when your girlfriend has finished getting dressed and you see that she’s
put on a tight dress with a low neckline/ she writes to tell you that she’s leaving. Quickly, you answer and request that your girlfriend send
you a photo so you can see how beautiful she looks. However, when you receive the picture and see that she’s put on a tight dress with a
low neckline, you tell her that she looks too provocative to meet friends. She feels good about the clothes she’s wearing and doesn’t want to
change her outfit. Then you get upset and you start to argue. In the end, after a long discussion, your girlfriend decides to change her clothes
and end the discussion as soon as possible.”
Observer Condition
“Mar�a has met some friends to go out tonight. Her boyfriend, Juan, whom she has been dating for 3 years, is going to stay at home. While
Mar�a is getting dressed, Juan goes to her home to see her. When he arrives, he asks to Mar�a what time and with whom she is meeting / Juan asks
to Mar�a through WhatsApp what time and with whom she is meeting. Mar�a answers him: “I already told you I’m going out with classmates
and we’re meeting at around ten o�clock.” Juan keeps asking questions insistently, since he wants to know where she’s going and what time she’s
coming home. Mar�a answers him that she’s going to dinner and after that, she’s going to a downtown pub, but she doesn’t know what time she’s
coming home. Later, when Mar�a has finished getting dressed and Juan sees that she’s put on a tight dress with a low neckline/ she writes to Juan
to tell him that she’s leaving. Quickly, Juan answers and requests that Mar�a send him a photo so he can see how beautiful she looks. However,
when Juan receives the picture and sees that she’s put on a tight dress with a low neckline, he tells to Mar�a that she looks too provocative to
meet friends. Mar�a feels good about the clothes she’s wearing and she doesn’t want to change her outfit. Then Juan gets upset and they start to
argue. In the end, after a long discussion, Mar�a decides to change her clothes and end the discussion as soon as possible.”