Role of Influencers in Propagating Abnormal Trends

Authors

  • Pallavi Dubey Associate Professor, Sigma University, Vadodara, Gujarat, India Author

DOI:

https://doi.org/10.32628/IJSRHSS252313

Keywords:

Influencers, Abnormal Trends, Social Media, Social Learning Theory, Psychological Impact

Abstract

The advent of social media platforms has significantly empowered individuals to attain influencer status, wherein their reach and persuasive power shape public behavior, beliefs, and trends. While influencers often propagate benign or beneficial con-tent—ranging from lifestyle choices to health-related advice—there is a growing concern regarding their role in disseminating and normalizing “abnormal trends,” defined here as behaviors or practices that deviate from societal norms and may pose psychological, social, or physical risks. This study examines how influencers contribute to the propagation of such abnormal trends, exploring theoretical underpinnings from social learning theory and social comparison theory, delineating the mechanisms through which abnormal content spreads, and analyzing case studies of documented phenomena (e.g., self-harm challenges and dangerous pranks). Additionally, this paper discusses the psychological impact on vulnerable populations, ethical considerations for platform governance, and potential interventions. Through a synthesis of the extant literature, this study aims to provide a comprehensive understanding of influencers’ roles in abnormal trend proliferation and offers recommendations for researchers, policymakers, and platform administrators.

Downloads

Download data is not yet available.

References

De Veirman, M.; Cauberghe, V.; Hudders, L. Marketing through Instagram influencers: Impact of number of fol-lowers and product divergence on brand attitude. J. Mark. Manag. 2017, 33, 169–190.

Davies, G. The psychology of deadly games: Exploring the Blue Whale Challenge phenomenon. Int. J. Psychol. Behav. Sci. 2018, 8, 124–130.

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders; 5th ed.; American Psy-chiatric Publishing: Arlington, VA, USA, 2013.

Bandura, A. Social Learning Theory; Prentice-Hall: Englewood Cliffs, NJ, USA, 1977.

Newton, S.; Uecker, J. The Blue Whale Challenge: Assessing the data. Cyberpsychol. Behav. Soc. Netw. 2018, 21, 529–533.

Morris, A.; Katzman, D.K. Evading detection: Hashtag surfing and pro-eating disorder content on social media platforms in the digital age. Eat. Disord. 2016, 24, 132–143.

Turner-McGrievy, G.; Beets, M.; Moore, J.B. Peer influence on eating behaviors among college-aged females: An experimental study in a sorority house. J. Nutr. Educ. Behav. 2018, 50, 550–555.e1.

Vidgen, B.; Yasseri, T.; Hale, S.A.; Margetts, H.; Roberts, M.E. Detecting societal events on Twitter: A taxonomy and case studies. Proc. Int. AAAI Conf. Web Soc. Media 2020, 14, 568–579.

Martinez, R.; Gupta, S. Viral risks: A meta-analysis of high-risk social media challenges (2015–2020). J. Media Psychol. 2021, 13, 45–67.

Lee, S.; Hwang, J.; Cho, H. Self-harm content and its psychological impact on adolescents: Insights from a national survey. Soc. Psychiatry Psychiatr. Epidemiol. 2020, 55, 1155–1164.

Bandura, A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol. Rev. 1986, 84, 191–215.

Festinger, L. A theory of social comparison processes. Hum. Relat. 1954, 7, 117–140.

Vogel, E.A.; Rose, J.P.; Roberts, L.R.; Eckles, K. Social comparison, social media, and self-esteem. Psychol. Pop. Media Cult. 2014, 3, 206–222.

Katz, E.; Blumler, J.G.; Gurevitch, M. Uses and gratifications research. Public Opin. Q. 1973, 37, 509–523.

Steiner, E.; Xu, H. The friendship paradox redux: Adolescent social media use and social comparison. J. Adolesc. Res. 2020, 35, 340–360.

Tajfel, H.; Turner, J.C. An integrative theory of intergroup conflict. In Williams, J.B., Austin, B., Eds.; The Social Psychology of Intergroup Relations; Brooks/Cole: Monterey, CA, USA, 1979; pp. 33–47.

Cialdini, R.B.; Goldstein, N.J. Social influence: Compliance and conformity. Annu. Rev. Psychol. 2004, 55, 591–621.

Shapiro, L.A.; Margolin, G. Growing up wired: Social networking sites and adolescent psychosocial development. Clin. Child Fam. Psychol. Rev. 2014, 17, 1–18.

Phua, J.; Jin, S.V.; Kim, J.J. Celebrity-endorsed e-cigarette and tobacco advertising: Influence on youth smoking and vaping intention. Tob. Control 2020, 29, 43–49.

Binns, R.; Fraternali, P.; Lygeros, M.; Melis, M.; Rode, H.; Such, E. Content recommendation algorithms: A longi-tudinal analysis of engagement and polarization on YouTube. Web Sci. Conf. 2021, 4, 1–10.

Centola, D. How behavior spreads: The science of complex contagions. _Princeton University Press: Princeton, NJ, USA, 2018.

Tandoc, E.C.; Ferrucci, P. A networked credibility: Influencers’ impact on rumor adoption during social crises. New Media Soc. 2017, 19, 1057–1076.

Abidin, C.; Ots, M. Influencer marketing and the moral economy of authenticity: The case of “ordinary influencers”. Cult. Sci. J. 2016, 8, 104–126.

Montag, C.; Hegelich, S. An overview of influencer marketing: Information operations, outreach, and key challenges. J. Inf. Commun. Ethics Soc. 2020, 18, 1–17.

Entman, R.M. Framing: Toward clarification of a fractured paradigm. J. Commun. 1993, 43, 51–58.

Cialdini, R.B. Influence: Science and Practice; 5th ed.; Pearson Education: Boston, MA, USA, 2007.

Simkin, M.; Woods, D.K. Beyond the headlines: An analysis of self-harm challenges on social media. Child. Youth Ser. Rev. 2019, 101, 1–8.

Winter, J.; Cotton, S.; Keski-Rahkonen, A.; Mustelin, L. Platforms and self-harm: User experiences of pro-eating disorder and self-harm communities on social media. Eur. Eat. Disord. Rev. 2018, 26, 310–317.

Kumar, R.; Reddy, P.; Singh, S. Adolescent self-harm behaviors in the era of online dares: A cross-sectional study in urban India. Indian J. Psychiatry 2019, 61, 244–250.

Arora, P.; Bannerjee, R. Instagram’s AI interventions: Self-harm detection and content removal policies. Cy-berpsychol. Behav. Soc. Netw. 2020, 23, 354–358.

Dhir, A.; Yossatorn, Y.; Kaur, P.; Chen, S. Online hate and harassment: Analysis of cyberspace using data from Twitter. J. Organ. Comput. Electron. Commer. 2020, 30, 107–130.

Oesterle, S.; Willis, C.; Lengyel, C.O.; Song, A.; Bagley, C.; Al-Khadra, A. The Tide Pod challenge: Risk behaviors among adolescents. Pediatrics 2019, 143, e20183479.

Crawford, C.; Kim, H.; Reed, R.J. Media coverage of the Tide Pod challenge: Implications for public health messaging. Health Commun. 2018, 33, 259–267.

Wester, R.; Kariuki, S.; Balaji, K.; Landsman, P.; Blakey, S. Unintended consequences: A study of laundry detergent exposures during social media–fueled challenges. Pediatrics 2019, 144, e20190552.

Spencer, D.; Willis, J. Mutation of the Tide Pod challenge: An analysis of emergent hazardous behaviors. J.AMA Pediatr. 2019, 173, 117–123.

Procter & Gamble (P&G). Tide’s #NotAChallenge Campaign Report; Procter & Gamble: Cincinnati, OH, USA, 2018.

Fardouly, J.; Diedrichs, P.C.; Vartanian, L.R.; Halliwell, E. Social comparisons on social media: The impact of Fa-cebook on young women’s body image concerns and mood. Body Image 2015, 13, 38–45.

Jones, A.; Clark, L.; Powell, T. Longitudinal effects of “fitspo” and “thinspo” exposure among adolescents: A 12-month follow-up. J. Youth Adolesc. 2019, 48, 615–630.

Instagram. Community Guidelines: Self-Harm and Eating Disorder Content; Instagram: Menlo Park, CA, USA, 2019.

Cohen, A.; Newton-John, T.; Slater, A. The extent and impact of pro-eating disorder content on social media: A systematic review. Int. J. Eat. Disord. 2020, 53, 813–828.

Erikson, E.H. Identity: Youth and Crisis; W.W. Norton & Company: New York, NY, USA, 1968.

Horton, D.; Wohl, R.R. Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry 1956, 19, 215–229.

Tversky, A.; Kahneman, D. Judgment under Uncertainty: Heuristics and Biases. Science 1974, 185, 1124–1131.

Sharot, T. The optimism bias. Curr. Biol. 2011, 21, R941–R945.

Hatfield, E.; Cacioppo, J.T.; Rapson, R.L. Emotional contagion. Curr. Dir. Psychol. Sci. 1993, 2, 96–100.

Prinstein, M.J.; Dodge, K.A. Peer Influence Processes Among Adolescents; Guilford Press: New York, NY, USA, 2008.

Beck, A.T.; Ward, C.H.; Mendelson, M.; Mock, J.; Erbaugh, J. An inventory for measuring depression. Arch. Gen. Psychiatry 1961, 4, 561–571.

Beck, A.T.; Epstein, N.; Brown, G.; Steer, R.A. Comparison of Beck Depression Inventories -IA and -II in psychiatric outpatients. J. Pers. Assess. 1988, 67, 588–597.

Russell, S.; Conroy, S.; Nobis, L. Young people’s mental health presentations linked to social media content. BMJ Open 2019, 9, e025464.

Pate, C.; Adams, G. Social media influencers and health misinformation: Ethical responsibilities and mitigation strategies. J. Med. Ethics 2019, 45, 1–7.

Marwick, A.; Boyd, D. To see and be seen: Celebrity practice on Twitter. Convergence 2011, 17, 139–158.

Gillespie, T. Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media; Yale University Press: New Haven, CT, USA, 2018.

Roberts, S.T.; Albrechtslund, A. Challenges of content moderation: Policies vs. practice on major social media platforms. J. Int. Digit. Law Policy 2020, 5, 112–129.

UK Government. Online Safety Bill Explanatory Notes; UK Government: London, UK, 2021.

Ministry of Electronics & IT (MeitY). Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules; MeitY: New Delhi, India, 2021.

American Psychological Association. Ethical Principles of Psychologists and Code of Conduct; APA: Washington, DC, USA, 2017.

Walsh, R.F.L.; Kutcher, S.; Ashley, L.; Moore, K. Recognizing and responding to youth self-harm content: A guide for school mental health professionals. J. Child Adolesc. Psychiatr. Nurs. 2020, 33, 10–18.

Livingstone, S.; Helsper, E. Gradations in digital inclusion: Children, young people and the digital divide. New Media Soc. 2010, 16, 843–859.

Coyne, S.; Rogers, A.; Zurcher, J.; Stockdale, L.; Booth, M. Meta-analysis of direct and indirect associations between media use and self-harm: Focus on adolescents. J. Adolesc. 2020, 80, 57–68.

Hobbs, R. Digital and Media Literacy: A Plan of Action; Knight Commission on the Information Needs of Com-munities in a Democracy: Washington, DC, USA, 2017.

Hobbs, R.; Wieser, A. Digital literacy in the classroom: A longitudinal study of a media literacy curriculum. J. Educ. Res. 2020, 113, 176–186.

Evans, N.J.; Phua, J.; Lim, J.; Jun, H. Disclosing Instagram influencer advertising: The effects of disclosure language on advertising recognition, attitudes, and behavioral intent. J. Interact. Advert. 2017, 17, 138–149.

Freberg, K.; Graham, K.; McGaughey, K.; Freberg, L.A. Who are the social media influencers? A study of public perceptions of personality. Public Relat. Rev. 2011, 37, 90–92.

Ganguly, D.; Sharma, G.; Pan, M.; Sachdeva, S. Evolving methods for detection of self-harm content in social media: A machine learning review. J. Med. Internet Res. 2020, 22, e11689.

Zhang, Y.; Roberts, M.; Patel, M. Human-in-the-loop moderation: Challenges and opportunities for social media platforms. Proc. ACM Hum. Comput. Interact. 2018, 2, 1–20.

O’Keeffe, G.S.; Clarke-Pearson, K. The impact of social media on children, adolescents, and families. Pediatrics 2011, 127, 800–804.

Przybylski, A.K.; Murayama, K.; DeHaan, C.R.; Gladwell, V. Motivational, emotional, and behavioral correlates of fear of missing out. Comp. Hum. Behav. 2013, 29, 1841–1848.

Linehan, M.M. Cognitive-Behavioral Treatment of Borderline Personality Disorder; Guilford Press: New York, NY, USA, 1993.

Nesi, J.; Prinstein, M.J. Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Child Dev. 2015, 86, 385–402.

Heath, S.B.; Soep, E.; Roach, A. Living the arts through language-learning: A situated practice. School Arts 2009, 109, 15–22.

De Veirman, M.; Nie, A.; Hodge, W.; Smith, O. Virtual influencers: Investigating the impact of computer-generated characters on consumer attitudes. J. Interact. Mark. 2020, 52, 35–54.

Fornell, C.; Larcker, D.F.; Rynes, S.L.; Lorain, M.F. Influencer content on YouTube: A systematic review of meth-odologies and outcomes. Mark. Theor. 2019, 19, 533–556.

Downloads

Published

30-05-2025

Issue

Section

Research Articles

How to Cite

Role of Influencers in Propagating Abnormal Trends. (2025). International Journal of Scientific Research in Humanities and Social Sciences, 2(3), 90-101. https://doi.org/10.32628/IJSRHSS252313

Similar Articles

1-10 of 30

You may also start an advanced similarity search for this article.