Confirmation Bias in Our Opinions on Social Media: A Qualitative Approach
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Abstract
Personal opinions are shaped by several factors, such as social, political, and economic issues. Subconscious bias is caused by factors such as the socioeconomic environment in which a person was raised, information gleaned from a network of friends, acquaintances, co-workers, as well as information from all other information sources. Confirmation bias is the propensity to look for evidence that supports one's preconceived notions rather than contradicts them. Due to its pressure on influencing personal opinions, confirmation bias has recently come back into focus as a topic of discussion, and social media today seems to have the biggest impact on the creation of confirmation bias in personal opinions on a variety of issues. Owing to social media's immense fame and popularity today, it has turned into a source of confirmation bias. Therefore, what are the factors that contribute to confirmation bias in our opinions on social media? How does confirmation bias shape our opinions on social media? A semi-structured interview was conducted with six (6) informants to seek answers to what and how confirmation bias shapes our opinions on social media. This study produced four themes, which are education level, algorithm, conformity, and self-control. Briefly, social media does shape confirmation bias in internet users' personal opinions. Finally, the current study has a limitation in that it only looks at social media, personal opinions, and confirmation bias.
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References
Abbey, H. A. (2021). Social Networking as a Motivator for Social Gathering (Doctoral dissertation, Walden University).
Acemoglu, D., Ozdaglar, A., & Parandeh Gheibi, A. (2010). Spread of (mis) information in social networks. Games and Economic Behavior, 70(2), 194-227.
Allport, G. W. (1961). Pattern and growth in personality. New York: Holt, Rinehart & Winston.
Brittanica (2022). Retrieved on 30 December 2022 at https://www.britannica.com/topic/public-opinion
Brittanica (2022). Retrieved on 30 December 2022 at https://www.britannica.com/dictionary/social-media
Chan, J., Ghose, A., & Seamans, R. (2016). The internet and racial hate crime: Offline spillovers from online access. MIS Quarterly: Management Information Systems, 40(2). https://doi.org/10.25300/MISQ/2016/40.2.05
Cheng, C., & Yu, C. (2022). Social conformity creates consensus and strong diversity of Hegselmann-Krause opinion dynamics. Science China Information Sciences, 65(2), 1-3.
Chun, J. W., and M. J. Lee. 2017. “When Does Individuals’ Willingness to Speak outIncrease on Social Media? Perceived Social Support and Perceived Power/Control.” Computers in Human Behavior 74: 120–129
Chung, M., Munno, G. J., & Moritz, B. (2015). Triggering participation: Exploring the effects of third-person and hostile media perceptions on online participation. Computers in Human Behavior, 53, 452-461.
Degol, J. L., & Bachman, H. J. (2023). Early self-control and sustained attention problems: Associations with youth achievement, motivation, and engagement. Cognitive Development, 65,101290.
Doong, S. H., & Ho, S. C. (2012). The impact of ICT development on the global digital divide. Electronic Commerce Research and Applications, 11(5), 518-533.
Eveland Jr, W. P. (2003). A “mix of attributes” approach to the study of media effects andnew communication technologies. Journal of Communication, 53(3), 395-410.
Festinger, L. (1957). Social comparison theory. Selective Exposure Theory, 16.
Gunther, A. (2014). The intersection of third-person effect and spiral of silence. In The spiral of silence: New perspectives on communication and public opinion (pp. 145–152). New York, NY: Routledge.
Hameleers, M., & Van der Meer, T. G. (2020). Misinformation and polarisation in a high-choice media environment: How effective are political fact-checkers?.Communication Research, 47(2), 227-250.
Hassan, A., Gunied, H., Seyadi, A. Y., & Alkhaja, A. M. (2023). The Usage of Digital Media in Society. In European, Asian, Middle Eastern, North African Conference on Management & Information Systems (pp. 135-146). Springer, Cham.
Hoyle, R. H., & Davisson, E. K. (2016). Varieties of self-control and their personality correlates. Handbook of self-regulation: Research, theory, and applications, 3, 396-413.
Hua, C., Zhao, L., He, Q., & Chen, Z. (2023). When and how workplace ostracism leads to interpersonal deviance: The moderating effects of self-control and negative affect. Journal of Business Research, 156, 113554.
Hwang, H., Y. Kim, and C. U. Huh. 2014. “Seeing is Believing: Effects of Uncivil Online Debate on Political Polarization and Expectations of Deliberation.” Journal of Broadcasting & Electronic Media 58: 621–633.
Jamieson, K. H., & Cappella, J. N. (2008). Echo chamber: Rush Limbaugh and the conservative media establishment. Oxford University Press.
Lee, E.-J., and Y. J. Jang. 2010. “What Do Others’ Reactions to News on Internet Portal Sites Tell us? Effects of Presentation Format and Readers’ Need for Cognition on Reality Perception.” Communication Research 37: 825–846
Lee, E.-J., H. Kim, and J. Cho. 2017. “How User Comments Affect News Processing and RealityPerception: Activation and Refutation of Regional Prejudice.” Communication Monographs 84 (1): 75–93.
Ling, R. (2020). Confirmation Bias in the Era of Mobile News Consumption: The Social and Psychological Dimensions. Digital Journalism, 8(5). https://doi.org/10.1080/21670811.2020.1766987
Mao, T., Pan, W., Zhu, Y., Yang, J., Dong, Q., & Zhou, G. (2018). Self-control mediates the relationship between personality trait and impulsivity. Personality and Individual Differences, 129, 70-75.
Mercier, H., & Sperber, D. (2017). The enigma of reason. Harvard University Press.
Mummolo, J. (2016). News from the other side: How topic relevance limits the prevalence of partisan selective exposure. The Journal of Politics, 78(3), 763-773.
Perrin, A. (2015). Social media usage. Pew research center, 125, 52-68.
Phillips, S. (2020). Between assimilation and independence: Taiwanese political aspirations under Nationalist Chinese rule, 1945–1948. In Taiwan (pp. 275-319). Routledge.
Rahmat, H., Mashudi, R., Pragasam, N., Puat, U. N. A., Miskam, H. M., Khir, A. M., ... & Rahmat, F. (2022, December). Exploring the Psychological Profile of Individuals Vulnerable to Fake News A Conceptual Framework. In International Conference on Communication, Language, Education and Social Sciences (CLESS 2022) (pp. 302-308). Atlantis Press.
Rajendran, L., & Thesinghraja, P. (2014). The impact of new media on traditional media. Middle-East Journal of Scientific Research, 22(4), 609-616.
Salman, I., & Turhan, B. (2018, May). Effect of time-pressure on perceived and actual performance in functional software testing. In Proceedings of the 2018 International Conference on Software and System Process (pp. 130-139).
Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication theory, 17(3), 281-303.
Stroud, N. J. (2011). Niche news: The politics of news choice. Oxford University Press on Demand.
Zimmer, F., Scheibe, K., & Stock, W. G. (2018, July). A model for information behavior research on social live streaming services (SLSSs). In International Conference on Social Computing and Social Media (pp. 429-448). Springer, Cham.