short-paper

Misleading Online Content: Recognizing Clickbait as "False News"

Authors:

Niall J. Conroy, and

Victoria L. RubinAuthors Info & Claims

WMDD '15: Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection

November 2015

Pages 15 - 19

https://doi.org/10.1145/2823465.2823467

Published: 13 November 2015 Publication History

Abstract

Tabloid journalism is often criticized for its propensity for exaggeration, sensationalization, scare-mongering, and otherwise producing misleading and low quality news. As the news has moved online, a new form of tabloidization has emerged: ?clickbaiting.? ?Clickbait? refers to ?content whose main purpose is to attract attention and encourage visitors to click on a link to a particular web page? [?clickbait,? n.d.] and has been implicated in the rapid spread of rumor and misinformation online. This paper examines potential methods for the automatic detection of clickbait as a form of deception. Methods for recognizing both textual and non-textual clickbaiting cues are surveyed, leading to the suggestion that a hybrid approach may yield best results.

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Cited By

R RSungheetha AHaile MKedir AA RG C(2024)Clickbait Detection for Amharic Language using Deep Learning TechniquesJournal of Machine and Computing10.53759/7669/jmc202404058(603-615)Online publication date: 5-Jul-2024
https://doi.org/10.53759/7669/jmc202404058
Liebenlito MYesinta AMusti M(2024)Deteksi Clickbait pada Judul Berita Online Berbahasa Indonesia Menggunakan FastTextJournal of Applied Computer Science and Technology10.52158/jacost.v5i1.6555:1(56-62)Online publication date: 24-Mar-2024
https://doi.org/10.52158/jacost.v5i1.655
Şenyüz B(2024)Navigating CriticallyEmbracing Technological Advancements for Lifelong Learning10.4018/979-8-3693-1410-4.ch010(217-235)Online publication date: 29-Mar-2024
https://doi.org/10.4018/979-8-3693-1410-4.ch010
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Index Terms

Misleading Online Content: Recognizing Clickbait as "False News"
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Conferences

WMDD '15: Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection

November 2015

42 pages

ISBN:9781450339872

DOI:10.1145/2823465

General Chairs:
Mohamed Abouelenien
University of Michigan, USA
,
Mihai Burzo
University of Michigan, USA
,
Rada Mihalcea
University of Michigan, USA
,
Verónica Pérez-Rosas
University of Michigan, USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 November 2015

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ICMI '15: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

November 13, 2015

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Cited By

R RSungheetha AHaile MKedir AA RG C(2024)Clickbait Detection for Amharic Language using Deep Learning TechniquesJournal of Machine and Computing10.53759/7669/jmc202404058(603-615)Online publication date: 5-Jul-2024
https://doi.org/10.53759/7669/jmc202404058
Liebenlito MYesinta AMusti M(2024)Deteksi Clickbait pada Judul Berita Online Berbahasa Indonesia Menggunakan FastTextJournal of Applied Computer Science and Technology10.52158/jacost.v5i1.6555:1(56-62)Online publication date: 24-Mar-2024
https://doi.org/10.52158/jacost.v5i1.655
Şenyüz B(2024)Navigating CriticallyEmbracing Technological Advancements for Lifelong Learning10.4018/979-8-3693-1410-4.ch010(217-235)Online publication date: 29-Mar-2024
https://doi.org/10.4018/979-8-3693-1410-4.ch010
Pereira MLeithardt V(2024)Fake News Management an Approach Using Collaborative NetworksSSRN Electronic Journal10.2139/ssrn.4807081Online publication date: 2024
https://doi.org/10.2139/ssrn.4807081
Khan ZGwak JIltaf NPedrycz WJeon M(2024)RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social mediaJournal of Big Data10.1186/s40537-023-00866-611:1Online publication date: 9-Jan-2024
https://doi.org/10.1186/s40537-023-00866-6
Been Choi EKim JJeong DPark Edel Pobil A(2024)Detecting agroJournal of Information Science10.1177/0165551522107432550:1(3-16)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1177/01655515221074325
Carrasco-Farré C(2024)Unmasking the Info War: The Communication Dynamics of Reliable and Misinformation Sources During the COVID-19 PandemicBusiness & Society10.1177/00076503241255343Online publication date: 10-Jun-2024
https://doi.org/10.1177/00076503241255343
Shrestha AFlood ASohrawardi SWright MAl-Ameen M(2024)A First Look into Targeted Clickbait and its Countermeasures: The Power of StorytellingProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642301(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642301
Fei LYifei SMingyang LMei ZJieying KQinglei G(2024)False News Detection Based on Adaptive Fusion of Multimodal Features2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)10.1109/EEBDA60612.2024.10485971(228-234)Online publication date: 27-Feb-2024
https://doi.org/10.1109/EEBDA60612.2024.10485971
Liu YBing WRen SMa H(2024)BC-FND: An Approach Based on Hierarchical Bilinear Fusion and Multimodal Consistency for Fake News DetectionIEEE Access10.1109/ACCESS.2024.339240912(62738-62749)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3392409
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