The secret digital behaviors of Gen Z🤳
Maryland Association of CPAs (MACPA)’s Post
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Interesting findings from a qualitative study of this cohort. The world in which they will hold sway will no doubt be a fascinating one for researchers. #GenZ #objectivetruth #socialmediainfluence #generations #societaltrends https://lnkd.in/ed7Va28q
Google studied Gen Z. What they found is alarming.
businessinsider.com
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One thing is constant in Social Media even during - Algorithms change - Trend topics change. - Growth tactics change. - Platform features change. But human psychology doesn't. Stop focusing on the new tool or hack. Stop scrolling and start creating. Shape that works for you. Shape what you already know. Study the art of getting attention and the psychology of buying. The first step to becoming “evergreen”. #evergreencontent #linkedincreator
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From connecting college students to reshaping how we shop, learn, and interact, social media has truly evolved. Dive into @Fidelity Center for Applied Technology®️(FCAT) latest article exploring the interplay of trends and technologies shaping the future of social platforms. #FidelityAssociate https://bit.ly/3JJa2Si
The Muse and The Canvas: The Evolving Interplay of Social Trends and Tech
fcatalyst.com
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"Seasoned Digital Marketing Specialist | Championing Effective Strategies in the Staffing Industry | Driving Business Growth and Engagement"
Want your marketing to be more memorable? Looking for psychology-backed tactics that will improve your results? In this article, you’ll discover how to put applied behavioral science to work in marketing. The Relevance of Behavioral Science to Marketing In today's crowded and chaotic digital landscape, capturing consumer attention and driving meaningful behavior change has never […] The post Hacking the Human Mind With Applied Behavioral Marketing appeared first on Social Media Examiner.https://https://lnkd.in/e7fZTTKx
Hacking the Human Mind With Applied Behavioral Marketing
https://www.socialmediaexaminer.com
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ABA & OBM Content Specialist | @behavioralstories | (OBM) Organizational Behavior Management | Behavioral Marketing | Official YouTube Partner | Behavior Scientist
LAST UPLOAD OF 2023!!!! Every day, billions engage on social media, but what influences how people behave? How can social media platforms encourage positive interactions and discourage toxicity? Throughout this video, I define a range of online behaviors, from sharing to harassment. I also propose proven strategies like modifying environments and consequences, as well as skills training, have transformed behaviors offline. By understanding user behaviors, platforms may better fulfill social media's potential to bring people together. A multifaceted approach informed by OBM principles could help platforms fulfill social media's promise as a force for connection. But changing complex human behaviors requires understanding motivations and leveraging behavioral theory. Optimizing online interactions starts with recognizing what influences how people act both online and offline. References Daniels, A. C., & Bailey, J. S. (2014). Performance management: Changing behavior that drives organizational effectiveness. Atlanta, GA: Performance Management Publications. Joinson, A. N. (2008). ‘Looking at’, ‘looking up’ or ‘keeping up with’ people? Motives and uses of Facebook. Proceedings of the SIGCHI conference on human factors in computing systems - CHI ’08, 1027–1036. https://lnkd.in/gcNK-NuQ Kemp, S. (2021, October 28). Digital 2021: Global Overview Report. DataReportal – Global Digital Insights. https://lnkd.in/gcuHqwmb Miltenberger, R. G. (2016). Behavior modification: Principles and procedures (6th ed.). Cengage Learning. Obar, J. A., & Wildman, S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745–750. https://lnkd.in/g3zumUPx Santana, A. D. (2014). Virtuous or vitriolic: The effect of anonymity on civility in online newspaper reader comment boards. Journalism Practice, 8(1), 18–33. https://lnkd.in/gwG6wKe7 Zhao, S., Grasmuck, S., & Martin, J. (2008). Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24(5), 1816–1836. https://lnkd.in/gytM323q #appliedbehavioranalysis #aba #socialemedia #organizationalbehavior #behavior #behaviour https://lnkd.in/gGN9V8D8
Analyzing Social Media Behaviors | Applied Behavior Analysis & OBM
https://www.youtube.com/
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We use iterative results from the targeted collection, creating information and intelligence on influence operations patterns, trends, and tendencies. #Targeted #Adversary #Analysis #cyberintelligence https://lnkd.in/dSs3Qfih
Check out this link
treadstone71.com
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Founder, Enviropedia Inc. | Preserving Culture, Heritage, and Integrity of the World’s Information | Apple | Board Member, New York Visual Effects Society | Building beyond Generative AI | UN SDG
2024 is more like Orwell’s depiction of 1984 than ever. But the future is still unwritten. The answer to many of our problems can be found by looking backwards before social media, and it can be used as a blueprint for designing a much better future. It’s time to start thinking differently again.
Opinion | The internet was supposed to make humanity smarter. It’s failing.
washingtonpost.com
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The interaction between human psychology and online algorithms on social media platforms amplifies "PRIME" information. Can new algorithm designs enhance accurate social learning and improve users' perception? https://lnkd.in/gt3EdCqv
How social media algorithms warp our perceptions
chicago.suntimes.com
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Co-Founder / CEO at FERMÀT - improve marketing outcomes w landing experiences unique to every campaign
Most people will say that being hypothesis-based is the primary way to conduct an experiment… but not me. I think it misses the big opportunity. There are two totally different, yet completely effective ways to conduct an experiment: - Hypothesis Based and - Discovery-Based When I was a Ph.D. student, I would say that discovery-based experimentation played a bigger part in my life because you’re actually trying to accomplish new feats. Let’s lay out the differences within the scope of a marketer: Say you’re unsure what kind of message is going to attract what type of person. The discovery-based way to conduct this test is to put out a bunch of hooks of value and see who engages with what. You determine which demographics of people end up engaging the most based on the types of value put out. The key here is you’re not forming an opinion beforehand. You’re letting the experiment guide a theory. Contrarily, hypothesis-based experiments would start by stating a theory that you are going to test. In this instance, you might say “Parents love this supplement to stay healthy during flu season,” and then by putting out hooks of value, you can either confirm or deny, generally, that hypothesis. This is where A/B tests generally live. With these differences in mind, I want you to consider this going forward: How do you drive discovery? Discovery-based experiments are where the magic happens because you *clears throat* discover. You find new answers you may have never deemed possible. There are 3 things you need to do to drive effective discover-based experimentation: 1) Ask Open Questions 2) Have Very Good Data Instrumentation 3) Be Completely Unopinionated I broke down these three points a bit further in today’s Whiteboard Wednesday video below. 👇 Go check it out and let me know your take on experimentation in the replies!
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Co-Founder and Managing Partner, Agile 2 Academy; Executive level Agile and DevOps advisor and consultant; Lead author of Agile 2: The Next Iteration of Agile
Research: Social media algorithms warp how people learn from each other From the article: "On social media platforms, algorithms are mainly designed to amplify information that sustains engagement" "The interaction of human psychology and algorithm amplification leads to dysfunction because social learning supports cooperation and problem-solving, but social media algorithms are designed to increase engagement. We call this mismatch functional misalignment." "One of the key outcomes of functional misalignment in algorithm-mediated social learning is that people start to form incorrect perceptions of their social world." https://lnkd.in/eiE3BE3g by William Brady, Assistant Professor of Management and Organizations, Northwestern University #socialmedia
Social media algorithms warp how people learn from each other, research shows
theconversation.com
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