BEYOND THE TREND: UNDERSTANDING MIMICRY CULTURE AMONG YOUNG SOCIAL MEDIA USERS IN KERALA

Authors

  • Anaina B. M.A Journalism and Mass Communication Student, Department of Visual Media and Communication, School of Arts, Humanities and Commerce, Amrita Vishwa Vidyapeetham, Kochi Campus, Kerala, India Author
  • Dr. Lakshmi Ravindran Assistant Professor, Department of Visual Media and Communication, School of Arts, Humanities and Commerce, Amrita Vishwa Vidyapeetham, Kochi Campus, Kerala, India Author

DOI:

https://doi.org/10.29121/ShodhVichar.v2.i1.2026.89

Keywords:

Mimicry Culture, Social Media Influence, Youth Identity, Algorithmic Visibility, Kerala, Digital Self-Expression, FOMO, Uses and Gratifications Theory

Abstract

Instagram and YouTube are becoming integral parts of cultural interactions of youth in Kerala, since many of them have smart phones and possess a lot of knowledge about the internet. The research work is entitled as “Beyond the Trend: Understanding Mimicry Culture Among Young Users in Kerala”. The study aims to find out how trend-based online activities called mimicry culture impact the behavior, creativity, identity development, and psychological state of the young generation aged from 18 to 28.

The methodological approach applied by this study was a mixed one that used both quantitative and qualitative data collection techniques. Quantitative data was collected from 384 respondents using a structured questionnaire distributed on social media platforms. Qualitative information was gathered through interviewing three clinical psychologists. Pearson correlation analysis revealed that there is a statistically significant moderate positive relationship (r = 0.571, p < .001) between the impact of social media and participation in imitation activities. Descriptive statistics indicated that the average score related to the impact of social media (M = 3.742) and mimicry practices (M = 3.661), was relatively high among young participants who used social media activities

Additionally, the findings further reveal that 87.8% of participants agree that involvement in trends can enhance the awareness and reach of their online content, while over 80% agree that original content receives less attention than posts based on current trends. From the perspective of the psychologists the behavior of mimicry is driven by various reasons, including the desire to be socially accepted, Fear of Missing Out (FOMO), and the reinforcement mechanisms created by the algorithms of social platform. Participation in these trends might foster social connectivity and online appreciation, over-reliance on imitation can have adverse consequences such as stifling creativity, causing stress, and preventing authentic self-expression among young people.

References

Abidin, C. (2018). Internet Celebrity: Understanding Fame Online. Emerald Publishing.

Appadurai, A. (1996). Modernity at Large: Cultural Dimensions of Globalization. University of Minnesota Press.

Asch, S. E. (1955). Opinions and Social Pressure. Scientific American, 193(5), 31–35. https://doi.org/10.1038/scientificamerican1155-31

Butler, A. (2024). Digital Reward Systems and Repetitive Participation in Algorithm-Driven Media Spaces. Journal of Digital Culture Studies, 18(2), 112–129.

Cialdini, R. B. (2009). Influence: Science and Practice (5th ed.). Pearson Education.

Cotter, K. (2024). Algorithmic Visibility and Creator Adaptation in Platform-Based Media Environments. Social Media + Society, 10(1), 1–14.

Featherstone, M. (2007). Consumer Culture and Postmodernism. Sage.

Festinger, L. (1954). A Theory of Social Comparison Processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202

Freberg, K., Graham, K., McGaughey, K., and Freberg, L. (2011). Who Are the Social Media Influencers? Public Relations Review, 37(1), 90–92. https://doi.org/10.1016/j.pubrev.2010.11.001

Fuchs, C. (2014). Social Media: A Critical Introduction. Sage.

Gillespie, T. (2014). The Relevance of Algorithms. In T. Gillespie et al. (Eds.), Media Technologies. MIT Press.

Jenkins, H. (2006). Convergence Culture: Where Old and New Media Collide. NYU Press.

Katz, E., Blumler, J. G., and Gurevitch, M. (1973). Uses and Gratifications Research. The Public Opinion Quarterly, 37(4), 509–523. https://doi.org/10.1086/268109

Kaye, D. B. V., Chen, X., and Zeng, J. (2024). Recommendation Systems and Behavioural Influence Among Young Social Media Users. New Media & Society, 26(3), 987–1005.

Nieborg, D. B., and Poell, T. (2018). The Platformization of Cultural Production. Social Media + Society, 4(3). https://doi.org/10.1177/2056305118791913

Pennycook, A. (2007). Global Englishes and Transcultural Flows. Routledge.

Pérez-Torres, V. (2024). Social Media: A Digital Social Mirror for Identity Development During Adolescence. Current Psychology, 43, 22170–22180. https://doi.org/10.1007/s12144-023-05430-3

Poell, T., Nieborg, D., and van Dijck, J. (2019). Platformisation. Internet Policy Review, 8(4). https://doi.org/10.14763/2019.4.1425

Schechner, R. (2003). Performance Theory. Routledge.

Tarde, G. (1903). The Laws of Imitation. Henry Holt.

Twenge, J. M. (2017). iGen. Atria Books.

Van Dijck, J. (2013). The Culture of Connectivity: A Critical History of Social Media. Oxford University Press.

Vijayalakshmi, S. (2025). Digital Media and Youth Behaviour in India. Digital Media Studies.

Wallace, R. (2025). Conformity Behaviour Within Algorithmically Structured Social Media Systems. Computers in Human Behaviour Reports, 12, 100345.

Yin, R. (2024). Social Media, Youth, and Participatory Culture. Media Studies Journal.

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Published

2026-05-28