This study aims to explore confirmation bias in visual news content consumption patterns across social media platforms, examining this phenomenon in light of Cognitive Dissonance Theory. Focusing on the roles of recommendation algorithms and the formation of echo chambers within this context. This study aims to understand the social and psychological factors contributing to the reinforcement of confirmation bias. This includes investigating the impact of visual and interactive characteristics of visual content compared to written content, the role of digital platform usage intensity, and the strategies individuals employ to reduce cognitive dissonance when confronted with content that contradicts their pre-existing beliefs. The study utilized a survey instrument on a sample of 505 respondents to gather indicators regarding user preferences and interaction patterns with visual news on digital platforms. The theoretical framework for this study is grounded in Cognitive Dissonance Theory, which explains how individuals process conflicting information. The findings revealed a positive correlation between the role of recommendation algorithms and the formation of echo chambers in visual news content selection and the level of confirmation bias among respondents. It was also found that the visual and interactive characteristics of visual content increase confirmation bias more significantly than written content. The study further demonstrated that intensive use of digital platforms enhances confirmation bias by increasing intellectual homogeneity. The results also indicated a sequence in confirmation bias, starting with selective exposure, intensifying during the information interpretation phase (the highest level), and concluding with information processing and sharing, showing a strong link between cognitive dissonance and confirmation bias. Finally, respondents were found to resort to strategies such as selective disregard and reinterpretation to manage cognitive dissonance resulting from exposure to content contradicting their beliefs.
Ahmad Ghani, A. N. H., & Rahmat, H. (2023). Confirmation bias in our opinions on social media: A qualitative approach. Journal of Communication, Language and Culture, Vol 3(1), 47–56. Available At https://doi.org/10.33093/jclc.2023.3.1.4
Alsaad, A., Taamneh, A., & Al-Jedaiah, M. N. (2018). Does social media increase racist behavior? An examination of confirmation bias theory, Technology in Society, 55,pp 41-46.Available At: https://doi.org/10.1016/j.techsoc.2018.06.002
Amit Verma, et. al ,.(2023). Disentangling the Effect of Confirmation Bias and Media Literacy on Social Media Users' Susceptibility to Fake News, Journal of Content, Community & Communication, , Vol. 17. Available At : DOI:10.31620/JCCC.06.2023/03
Aronson, E. (1968). Dissonance theory: Progress and problems. In R. P. Abelson, E. Aronson, W. J. Mcguire, T. M. Newcomb, M. J. Rosenberg & P. H. Tannenbaum (ed.), Theories of cognitive consistency: A sourcebook(pp. 5--27). Rand McNally.
Bai, Q. Kong, L. Li, L. Wang and D. Zeng, )2019("Exploring Cognitive Dissonance on Social Media," IEEE International Conference on Intelligence and Security Informatics (ISI), Shenzhen, China, , pp. 143-145, Available At doi: 10.1109/ISI.2019.8823262.
Bail, C. A., Argyle, L. P., Brown, T. W., & Volfovsky, A. (2018). Exposure to opposing views on social media can increase political polarization | PNAS. Available At https://www.pnas.org/doi/abs/10.1073/pnas.1804840 115.
Barberá,P.(2020). Social Media, Echo Chambers, and Political Polarization, In: Social Media and Democracy,Cambridge University Press, pp34-55. Available At: https://doi.org/10.1017/9781108890960
Benneti , Lyengar.(2008). "A new era of minimal effects? The changing foundations of political communication" , Journal of Communication, Vol. 58, No. 4, p.p. 707-731. Available At:https://doi.org/10.1111/j.1460-2466.2008.00410.x
Bhattacherjee,A.(2022). The effects of news source credibility and fact-checker credibility on users’ beliefs and intentions regarding online misinformation, Journal of Electronic Business &Digital Economics, 1 No. 1/2, pp. 24-33.Available At: https://www.emerald.com/insight/content/doi/10.1108/jebde-09-2022-0031/full/html
Boonprakong, N., Pareek, S., Tag, B., Goncalves, J., & Dingler, T. (2025, April). Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-19)..Available At:: https://ssrn.com/abstract=4797710
Brown, J. D. (2006). Social psychology. ,Newyork: McGraw-Hil.p.222.
Caled, D., & Silva, M. J. (2022). Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation, Journal of Computational Social Science ,Vol. 5,No. 1,pp 123-159.Available At: https://doi.org/10.1007/s42001-021-00118-
Cao, J., Qi, P., Sheng, Q., Yang, T., Guo, J., Li, J. (2020). Exploring the Role of Visual Content in Fake News Detection. In: Shu, K., Wang, S., Lee, D., Liu, H. (eds) Disinformation, Misinformation, and Fake News in Social Media. Lecture Notes in Social Networks. Springer, Cham. Available At: https://doi.org/10.1007/978-3-030-42699-6_8
Casad, B. J., & Luebering,. J.E. (2023). confirmation bias. In Encyclopedia Britannica. Available At: https://www.britannica.com/science/confirmation-bias
Cheng, C., & Yu, C. (2022). Social conformity creates consensus and strong diversity of Hegselmann-Krause opinion dynamics. Science China Information Sciences,Vol. 65,No.2, pp1-3. Available At: https://doi.org/10.1007/s11432-019-2788-5
J. Wakslak,.(2012). The expenence of Cognitive dissonance in important and trivial domains: A Construal level theory approach, Journal of experimental social psychology,Vol. 48,No.6, p.p. 1361-1364.Available At: DOI:10.1016/j.jesp.2012.05.011
Chipidza, W., & Yan, J. (Kevin). (2022). The effectiveness of flagging content belonging to prominent individuals: The case of Donald Trump on Twitter. Journal of the Association for Information Science and Technology, Vol 73(11), 1641–1658. Available At https://doi.org/10.1002/asi.24705.
Chiu, C. Y., Gelfand, M. J., Yamagishi, T., Shteynberg, G., & Wan, C. (2010). Inter subjective culture: The role of inter subjective perceptions in cross-cultural research, Perspectives on Psychological Science, Vol.5,No.4, pp482–493. Available At : https://doi.org/10.1177/1745691610375562
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences of the United States of America, 118(9), e2023301118. Available At : https://doi.org/10.1073/pnas.2023301118.
Clifford, Scott& Jerit , Jennifer,.(2015). Do Attempts to Improve Respondent Attention Increase Social Desirability Bias? ,Public Opinion Quarterly, Vol. 79,No. 3, pp790-802. Available At: https://doi.org/10.1093/poq/nfv027
Cooper, J. (2007). Cognitive dissonance: 50 years of a classic theory,1st ed, London:SAGE Publications Ltd ,Available At: DOI:10.4135/9781446214282
Degol, J. L., & Bachman, H. J. (2023). Early self-control and sustained attention problems: Associations with youth achievement, motivation, and engagement. Cognitive Development, 65, No.1, Available At : DOI:10.1016/j.cogdev.2022.101290
Del Vicario, M. (2016). The role of confirmation bias in the emergence of echo chambers: A data-driven approach, PhD Thesis, IMT School for Advanced Studies Lucca. IMT Repository. Available At: http://e-theses.imtlucca.it/194
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016). Echo chambers in the age of misinformation, Proceedings of the National Academy of Sciences, 113,No.3,pp 554–559.Available At : https://doi.org/10.1073/pnas.1517441113
Denisova ,(2022). Viral journalism. Strategy, tactics and limitations of the fast spread of content on social media: Case study of the United Kingdom quality publications, Journalism ,Vol.24, No.9, Available At: https://doi.org/10.1177/14648849221077749
Dominik ,Bentler, Gizem, Kadi and Günter W. Maier.(2023). Increasing pro-environmental behavior in the home and work contexts through cognitive dissonance and autonomy, Frontiers in Psychology, Vol. 14, , p 3,Available At: https://doi.org/10.3389/fpsyg.2023.1199363,
Douglas C Youvan.(2024). Confronting Willful Ignorance: Cognitive Biases, Social Media Echo Chambers, and the 'Conspiracy Theory' Phenomenon.AvailableAt:DOI:10.13140/RG.2.2.22056.99841
Duffy, A., and R. Ling. (2020). “The Gift of News: A Shift from Informational to Social in Studies of News Sharing.” Journalism Studies, Vol.21, No.1, p p 72–87. Available At: https://doi.org/10.1080/1461670X.2019.1627900
Elliot, A. J., & Devine, P. G. (1994). On the motivational nature of cognitive dissonance: Dissonance as psychological discomfort, Journal of Personality and Social Psychology, Vol.67,No.3,pp 382–394.Available At:https://devinelab.psych.wisc.edu/
Evans, (2016). Information dissemination in new media: YouTube and the Israeli–Palestinian conflict, Media ,War & Conflict, Vol. 9, No. 3. P 325, Available At: https://doi.org/10.1177/1750635216643113
Feezell, J. T., Wagner, J. K., & Conroy, M. (2021). Exploring the effects of algorithm-driven news sources on political behavior and polarization. Computers in Human Behavior, 116, Article 106626. Available At :https://doi.org/10.1016/j.chb.2020.106626
Flanagin, A. J., & Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information, New Media & Society, Vol. 9,No.2,pp 319–342.Available At: https://doi.org/10.1177/1461444807075015
Fletcher ,Richard, Antonis, Kalogeropoulos, and Nielsen, Rasmus Kleis,.(2021). More diverse, more politically varied: How social media, search engines and aggregators shape news repertoires in the United Kingdom, New Media & Society, Vol.25, No.8,Available At:https://doi.org/10.1177/14614448211027393
Fletcher, Richard, and Nielsen ,Rasmus Kleis.(2018). Are people incidentally exposed to news on social media? A comparative analysis, New media & society, Vol. 20, No. 7,p p 2450-2468.Available At: https://doi.org/10.1177/1461444817724170
Friggeri, A., Adamic, L. A., Eckles, D., & Cheng, J. (2014). Rumor cascades, Proceedings of the Eighth International Conference on Weblogs and Social Media, Vol. 8,No. 1,pp101-110.Available At:DOI:10.1609/icwsm.v8i1.14559
Frimer, J. A., Skitka, L. J., & Motyl, M. (2017). Liberals and conservatives are similarly motivated to avoid exposure to one another’s opinions, Journal of Experimental Social Psychology,Vol. 72,pp 1–12. Available At: https://doi.org/10.1016/j.jesp.2017.04.003
Galeazzi, A., Peruzzi, A., Brugnoli, E., Delmastro, M., & Zollo, F. (2024). Unveiling the hidden agenda: Biases in news reporting and consumption. PNAS Nexus, 3(11), Article pgae474. Available At: https://doi.org/10.1093/pnasnexus/pgae474
Garrett, R. K. (2009). Echo chambers online?: Politically motivated selective exposure among Internet news users, Journal of Computer-Mediated Communication,Vol. 14,No.2, pp265–285. Available At: https://doi.org/10.1111/j.1083-6101.2009.01440.x
Gawronski, Bertram, and Fritz Strack. (2012). Cognitive consistency: A fundamental principle in social cognition, New York: Guilford Press.
George, B.& Edward, M. (2009). Cognitive dissonance and purchase involvement in the consumer behavior context, The IUP Journal of Marketing Management,Vol. 8, No.3,pp1-24.
Guerrero,María José Hernández.(2022). The translation of multimedia news stories: Rewriting the digital narrative, Journalism, Vol.23, No.7, Available At :https://doi.org/10.1177/14648849221074517
Guess A., Coppock A. (2020). Does counter-attitudinal information cause backlash? Results from three large survey experiments. British Journal of Political Science,Vol. 50, No. 4,pp 1497–1515.Available At: doi:10.1017/S0007123418000327
Guilbeault, D., J. Becker, and D. Centola.( 2018). “Social Learning and Partisan Bias in the Interpretation of Climate Trends.” Proceedings of the National Academy of Sciences 115 ,Vol. 39, p p9714–9719. Available At: https://doi.org/10.1073/pnas.1722664115
Guo, J., & Chen, H.-T. (2022). How does multi-platform social media use lead to biased news engagement? Examining the role of counter-attitudinal incidental exposure, cognitive elaboration, and network homogeneity. Social Media + Society, Vol 8(4). Available At :https://doi.org/10.1177/20563051221129140
Hai L, Tran.(2015). More or Less? Multimedia Effects on Perceptions of News Websites, Electronic News, Vol.9, No.1, p51.Available At : https://journals.sagepub.com/doi/full/10.1177/1931243115572821
Haim M., Graefe A., Brosius H.-B. (2018). Burst of the filter bubble? Effects of personalization on the diversity of Google News. Digital Journalism,Vol. 6, No. 3, pp330–343, Available At:https://doi.org/10.1080/21670811.2017.1338145
Haiping ,Zhao, Shaoxiong, Fuand Xiaoyu, Chen,.(2020). Promoting users’ intention to share online health articles on social media: The role of confirmation bias, Information Processing & Management, Vol. 57, No. 6, 2020, ,Available At : https://doi.org/10.1016/j.ipm.2020.102354
Harmon-Jones, E., & Mills, J. (2019). An introduction to cognitive dissonance theory and an overview of current perspectives on the theory. In E. Harmon-Jones (Ed.), Cognitive dissonance: Reexamining a pivotal theory in psychology ,2nd, Washington, DC: American Psychological Association, pp. 3–24 Available at :https://doi.org/10.1037/0000135-001
Hart, W., D. Albarracın, A. H. Eagly, I. Brechan, M. J. Lindberg, and L. Merrill.( 2009). “Feeling Validated versus Being Correct: A Meta-Analysis of Selective Exposure to Information.”Psychological Bulletin, 135, No.4, pp 555–588. Available at :https://doi.org/10.1037/a0015701.
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 ,Vol. 156,No.1,Available At: https//:DOI:10.1016/j.jbusres.2022.113554
Valentino, N. A., Banks, A. J., Hutchings, V. L., & Davis, A. K. (2009). Selective exposure in the internet age: The interaction between anxiety and information utility. Political Psychology, 30(4), 591–613. Available At:https://doi.org/10.1111/j.1467-9221.2009.00716.x
Itzchakov, G., & Van Harreveld, F. (2018). Feeling torn and fearing rue: Attitude ambivalence and anticipated regret as antecedents of biased information seeking. Journal of Experimental Social Psychology,Vol. 75,p p 19-26. ,Available At: https://doi.org/10.1016/j.jesp.2017.11.003
Jingshu Peng,( 2023).An analysis of how motivated reasoning and confirmation bias affect people to accept “true news” through social media selectively, Interdisciplinary Humanities and Communication Studies, Vol. 1, No. 1,Available At: DOI:10.61173/rpekxn12
Jonas, E., Schulz-Hardt, S., Frey, D., & Thelen, N. (2001). Confirmation bias in sequential information search after preliminary decisions: An expansion of dissonance theoretical research on selective exposure to information, Journal of Personality and Social Psychology, Vol.80,No.4,pp 557–571. Available At: https://doi.org/10.1037/0022-3514.80.4.557
Kahan, D. M., Peters, E., Dawson, E. C., & Slovic, P. (2012). Motivated numeracy and enlightened self-government, Behavioral Public Policy,Vol. 1,Yale Law School, Public Law Working Paper No. 307 , pp54-86. Available At :https://doi.org/10.2139/ssrn.2319992
Kappes, A., Harvey, A. H., Lohrenz, T., Montague, P. R., & Sharot, T. (2020). Confirmation bias in the utilization of others’ opinion strength, Nature Neuroscience, Vol.23,No.1,pp 130-137.Available At: https://doi.org/10.1038/s41593-019-0549-2
debruinhu.nl,et.al,.(2022). A first-person promise? A content-analysis of immersive journalistic productions, Journalism, Vol 23, No.2, Available At: https://doi.org/10.1177/1464884920922006
Kim, A., & Dennis, A. R. (2019). Says who? The effects of presentation format and source rating on fake news in social media, Mis Quarterly, Vol. 43,No.3, pp1025-1039.Available At:https://doi.org/10.25300/MISQ/2019/15188
Kim, Hus, & Gil de Zunige H.(2013). "Influence of Social media use on discussion network heterogeneity and Civic engagement: The moderating role of personality traits" ,Journal of Communication, 63, No. 3,pp. 498-516. , Available At : DOI:10.1111/jcom.12034
Kitchens, B., Johnson, S.L., & Gray, P. (2020). Understanding Echo Chambers and Filter Bubbles: The Impact of Social Media on Diversification and Partisan Shifts in News Consumption, MIS Quarterly , Vol.44, No.4,Available At:DOI:10.25300/MISQ/2020/16371
Klopfenstein, Nadine, Valery Wyss, and Wibke Weber.(2024). Factors influencing young people’s news consumption in Switzerland during normative transitions: A mixed methods study, Journal of Children and Media ,Vol.18,No.1,pp120-137.Available At: DOI:10.1080/17482798.2023.2278141
Knobloch-Westerwick, S., & Meng, J. (2009). Looking the other way: Selective exposure to attitude-consistent and counter attitudinal political information, Communication Research, Vol.36,No.3, pp426–448. Available At: https://doi.org/10.1177/0093650209333030
Knobloch-Westerwick, S., C. Mothes, B. K. Johnson, A. Westerwick, and W. Donsbach.( 2020). “Confirmation Bias, Ingroup Bias, and Negativity Bias in Selective Exposure to Political Information.” Communication Research , Vol. 47 , No.1, p p 104–124. Available At: https://doi.org/10.1177/0093650217719596
Koller, M. & Salzberger, T. (2012). Heterogeneous development of cognitive dissonance over time and its effect on satisfaction and loyalty, Journal of Customer Behaviour, Vol.11, No. 3, p261.Available At : DOI:10.1362/147539212X13469450373119
Kovács, Z., Zafeiris, A., & Palla, G. (2024). Opinion polarisation in social networks driven by cognitive dissonance avoidance. arXiv preprint arXiv:2409.16343. Available At:https://arxiv.org/abs/2409.16343
Kroon, A. C., van der Meer, T. G. L. A., & Pronk, T. (2022). Does information about bias attenuate selective exposure? The effects of implicit bias feedback on the selection of outgroup-rich news. Human Communication Research, 48(2), 346–373. Available At :https://doi.org/10.1093/hcr/hqac004
Lalit Kumar.(2023). Exploring The Impact Of Social Media On The Dynamics Of News Consumption: A Study On Its Effectiveness, International Journal of Current Science (IJCSPUB), 13, No. 2,PP 303-317.Available At: ResearchGate. Available: https://www.researchgate.net/publication/376650357_Exploring_The_Impact_Of_Social_Media_On_The_Dynamics_Of_News_Consumption_A_Study_On_Its_Effectiveness(Accessed: 02 April 2025)
Lee, B., Aiyappa, R., Ahn, Y.-Y., Kwak, H., & An, J. (2024). Neural embedding of beliefs reveals the role of relative dissonance in human decision-making, arXiv preprint arXiv:2408.07237. Available At :https://arxiv.org/abs/2408.07237
Ling, R. (2020). Confirmation Bias in the Era of Mobile News Consumption: The Social and Psychological Dimensions, Digital Journalism,Vol. 8,N.5,PP 596–604.Available At : https://doi.org/10.1080/21670811.2020.1766987
Little john& foss. Oetzel (2005). Theories of human communication, 8th ed, belment.ca : Thomson/ wadsworth.
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,Vol. 129, pp70-75.Available At : https://doi.org/10.1016/j.paid.2018.03.013
Mathioudakis, M., Koudas, N., & Marbach, P. (2010). Early online identification of attention gathering items in social media, In the Proceedings of the Third ACM International Conference on Web Search and Data Mining,pp301-310.Available At: https://doi.org/10.1145/1718487.1718525
McLeod,Saul.(2023).What Is Cognitive Dissonance Theory?,Social Science,Available At:https://www.simplypsychology.org/cognitive-dissonance.html
Ishtiaq Ahmed. (2023). The role of social media and confirmation bias in victimization: Information consumption and opinion polarization, International Journal of Emerging Trends in Social Sciences, Vol. 15No.2,pp:53-67.Available At: DOI:10.55217/103.v15i2.714
Meppelink, C. S., Smit, E. G., & Fransen, M. L. (2019). “I was right about vaccination”: Confirmation bias and health literacy in online health information seeking. Journal of Health Communication, 24(2), Vol. 129–140. https://doi.org/10.1080/10810730.2019.1583701
Modgil, S., Singh, R. K., Gupta, S., & Dennehy, D. (2024). A confirmation bias view on social media induced polarisation during Covid-19. Information Systems Frontiers,26(2), 417–441. https://doi.org/10.1007/s10796-021-10222-9
Monika K. Miller, Jordan D. Clark, Alayna ,Jehle.(2015). Cognitive Dissonance Theory. In: George Ritzer ,The Blackwell Encyclopedia of Sociology,USA: New Jersey, John Wily & Sons.
Morando, Gabriella Lee, "Modern News Consumption Habits Further Exacerbate Bias and Intellectual Isolation of Audiences" (2024). Communication Science and Disorders Honors Theses. 6. https://digitalcommons.butler.edu/csd_ugtheses/6.
Moravec, P. L., Minas, R. K., & Dennis, A. R. (2019). Fake news on social media: People believe what they want to believe when it makes no sense at All, MIS Quarterly: Management Information Systems, Vol.43,No.4, pp1343–1360.Available At: DOI:10.2139/ssrn.3269541
Morgan, Q., Ross, J., Crum, J., Wang, S., & Knobloch-Westerwick, S. (2023). Mobile selective exposure: Confirmation bias and impact of social cues during mobile news consumption in the United States. Journalism and Media, 4(1), 146–161. https://doi.org/10.3390/journalmedia4010011
Muneer, S., Ali, M., Qamar, N., & Dost, K. B. (2024). Social Media Use: A Cognitive Dissonance Analysis of Heavy Users and Engagement Dynamics, The Asian Bulletin of Big Data Management, Vol.4, No.3, p p 79–103, Available At :htps://doi.org/10.62019/abbdm.v4i3.205
Mutz D. C. (2006). Hearing the other side: Deliberative versus participatory democracy. Cambridge University Press. Available At: https://doi.org/10.1017/CBO9780511617201
Myeong,ki, Jeong, & Chul, Ho-lee, & Yasin, Ceran.(2019). Feeling displeasure from online social Media posting: A study using cognitive dissonance theory, Computers in human behavior, 97,No.1, p 231. Available At: DOI:10.1016/j.chb.2019.02.021
Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises, Review of General Psychology, Vol. 2, No.2,pp 175–220. Available At : https://doi.org/10.1037/1089-2680.2.2.175
Oeldorf-Hirsch A. (2018). The role of engagement in learning from active and incidental news exposure on social media. Mass Communication and Society,Vol. 21, No.2,pp 225–247.Available At:https://doi.org/10.1080/15205436.2017.1384022
Oeldorf-Hirsch A., Sundar S. S. (2015). Posting, commenting, and tagging: Effects of sharing news stories on Facebook. Computers in Human Behavior, Vol.44, pp240–249. Available At: DOI:10.1016/j.chb.2014.11.024
Pearson, G. D. H., & Knobloch-Westerwick, S. (2019). Is the confirmation bias bubble larger online? Pre-election confirmation bias in selective exposure to online versus print political information. Mass Communication and Society,22(4), 466–486. https://doi.org/10.1080/15205436.2019.1599956
Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, Vol.188, 39–50. https://doi.org/10.1016/j.cognition.2018.06.011.
Pentina, Iryna, and Monideepa Tarafdar.(2014). From “information” to “knowing”: Exploring the role of social media in contemporary news consumption, Computers in human behavior,Vol. 35 ,No.4,pp 211-223.Available At:DOI:10.1016/j.chb.2014.02.045
Price, R. (2024). Today’s audiences like short video news with personality. Digital Content Next. Available At: https://digitalcontentnext.org/blog/2024/07/02/todays-audiences-like-short-video-news-with-personality/
Radoslav, B., Baltezarevic, I., & Ravić, N. (2023). Confirmation bias in digital communication: The tendency of consumers to favor information that confirms their pre-existing beliefs. Megatrend Revija, 20(2), 25–35. https://doi.org/10.5937/MegRev2302026B
Rajendran, L., & Thesinghraja, P. (2014). The impact of new media on traditional media. Middle-East Journal of Scientific Research, 22(4), 609-616.https://doi.org/ 10.5829/idosi.mejsr.2014.22.04.21945.
Robertson, Toby.(2006). Dissonance Effects as Conformity Norms: The Effec of Anonymity and Identity Salience, The British Journal of social Psychology, Vol.45 , pp.683-699.Available At:https://doi.org/10.1348/014466605X82855
Salman, I., & Turhan, B. (2018). 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.
Sikder, O., Smith, R. E., Vivo, P., & Livan, G. (2020). A minimalistic model of bias, polarization and misinformation in social networks, Scientific Reports,Vol. 10,No.1, Available At: https://doi.org/10.1038/s41598-020-62085-w
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 , Vol.17, No.3, p p 281–303. Available At. https://doi.org/10.1111/j.1468-2885.2007.00296.x
Spohr, D. (2017). Fake news and ideological polarization: Filter bubbles and selective exposure on social media, Business Information Review,Vol.34,No.5,pp150-160.Available At:https://doi.org/10.1177/0266382117722446
Stice, Eric.(1992). The Similarities Between Cognitive Dissonance and Guilt: Confession as a Relief of Dissonance, Current Psychology: A Journal for Diverse Perspectives on Diverse Psychological Issues , Vol. 11, No. 1, pp.69-77. Available At: https://doi.org/10.1007/BF02686829
Stone, J., Aronson, E., Crain, A. L., Winslow, M. P., & Fried, C. B. (1994). Inducing hypocrisy as a means of encouraging young adults to use condoms, Personality and Social Psychology Bulletin, Vol.20, 1, pp116–128.Available At:DOI:10.1177/0146167294201012
Stroud NJ. (2017).Selective Exposure Theories: The Oxford Handbook of Political Communication, Oxford: Oxford University Press.
Strien, J. L. H. Van, Kammerer, Y., Brand-gruwel, S., & Boshuizen, H. P. A.( 2016). How attitude strength biases information processing and evaluation on the web, Computers in Human Behavior, Vol.60, p p 245-252,Available At:https://doi:10.1016/j.chb.2016.02.057
Suzuki, M., & Yamamoto, Y. (2021). Characterizing the influence of confirmation bias on web search behavior. Frontiers in Psychology, Vol. 12, Article 771948. Available At :https://doi.org/10.3389/fpsyg.2021.771948.
Sülflow, M., Schäfer, S., & Winter, S. (2019). Selective attention in the news feed: An eye-tracking study on the perception and selection of political news posts on Facebook, New Media & Society, Vol.21,No.1,pp 168-190.Available At: https://doi.org/10.1177/1461444818791520
Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs, American Journal of Political Science ,Vol. 50,No.3,pp 755–769. Available At : https://doi.org/10.1111/j.1540-5907.2006.00214.x.
Tandoc, E. C., Lim, Z. W., & Ling, R. (2018). Defining “Fake News”: A typology of scholarly definitions, Digital Journalism,Vol. 6,No.2,pp 137–153.Available At: https://doi.org/10.1080/21670811.2017.1360143
Thorson, Kjerstin.(2020). Attracting the news: Algorithms, platforms, and reframing incidental exposure. Journalism,Vol. 21, No. 8 ,p p 1067-1082.Available At: https://doi.org/10.1177/1464884920915352
Toni G. L. A. Van der Meer, Michael, Hameleers & C. Kroon, (2020). Crafting Our Own Biased Media Diets: The Effects of Confirmation, Source, and Negativity Bias on Selective Attendance to Online News, Mass Communication and Society,Vol. 23,No.6,pp 937-967,Available At : DOI: 10.1080/15205436.2020.1782432
Toulan, R. S., & Saleh, H. F. (2025). Exploring news consumption patterns and preferences of Generation Z: A field Study. The Egyptian Journal of Media Research, (90), pp 27-71. Available At: doi: 10.21608/ejsc.2025.413861.
Tsang, S. J.(2019). "Cognitive discrepancy, dissonance, and Selective exposure" ,Media Psychology, Vol.22,No.3,pp 394-417.Available At: https://doi.org/10.1080/15213269.2017.1282873
Tsfati, Y., & Cappella, J. N. (2003). Do people watch what they do not trust? Exploring the association between news media skepticism and exposure, Communication Research, Vol.30,No.5, pp504–529.Available At:DOI:10.1177/0093650203253371
Tud, Oroui.(2014)." Social Media and revolutionary waves: The Case of The Arab spring" ,New Political science ,Vol. 36, No. 3, p.p. 346-365..Available At:DOI:10.1080/07393148.2014.913841
Tueanrat, Y.& Alamanos, E. (2023).Cognitive Dissonance Theory: A review. In S. Papagiannidis ,TheoryHub Book. Available at: https://open.ncl.ac.uk / ISBN: 9781739604400
Uysal, Busye; Estrella, Ronny (2024) : Navigating Illusions: Unraveling Confirmation Bias using Cognitive Dissonance in Virtual Influencers on Social Media Platforms, 24th Biennial Conference of the International Telecommunications Society (ITS): "New bottles for new wine: digital transformation demands new policies and strategies", Seoul, Korea, 23-26 June, Available at: https://www.econstor.eu/handle/10419/302466.
Vaidis, D., & Bran, A. (2020). Cognitive Dissonance Theory,2nd ed ,In D. S. Dunn ,Oxford Bibliographies Online: Psychology. Oxford University Press , Available At :https://doi.org/10.1093/obo/9780199828340-0156
Valentino, N. A., A. J. Banks, V. L. Hutchings, and A. K. Davis.( 2009). “Selective Exposure in the the Internet Age: The Interaction between Anxiety and Information Utility, Psychol., Vol 30 (4) , pp. 591-61, Available At: https://doi.org/10.1111/j.1467-9221.2009.00716.x
W.P. van den Bosch. (2019, November 8). The effect of confirmation bias and social proof on belief polarization via Facebook’s news feed.Master’s thesis ,Business Economics. Available At: http://hdl.handle.net/2105/49487.
van der Meer, G. L. A., Hameleers, M., & Kroon, A. C. (2020). Faces of biased selectivity: A latent profile analysis to classify news audiences and their selection biases in the U.S. and UK. International Journal of Communication, 14, 5375–5393. Available At : https://ijoc.org/index.php/ijoc/article/view/13496
Varmazyar, R., & Martínez Cardama, S. (2023). Stereotyped-information behavior caused by social media: a case study of tiktok. Revista EDICIC, 3(3), 1–20.. Available At : https://doi.org/10.62758/re.v3i3.235.
Vedejová, D., & Čavojová, V. (2021). Confirmation bias in information search, interpretation, and memory recall: evidence from reasoning about four controversial topics, Thinking & Reasoning,Vol. 28,No. 1,pp 1–28. Available At : https://doi.org/10.1080/13546783.2021.1891967.
Verma, A., et al. (2023). Disentangling the effect of confirmation bias and media literacy on social media users’ susceptibility to fake news. Journal of Content, Community& Communication, 17(9), 81–92. Available At.https://doi.org/10.31620/JCCC.06.23/07
Watts, L. L., Medeiros, K. E., McIntosh, T. J., & Mulhearn, T. J. (2020). Decision biases in the context of ethics: Initial scale development and validation. Personality & IndividualDifferences, 153, Available At. https://doi.org/10.1016/j.paid.2019.109609.
Westerwick, A., Johnson, B. K., & Knobloch-Westerwick, S. (2017). Confirmation biases in selective exposure to political online information: Source bias versus content bias, Communication Monographs, Vol.84, pp 343-364. Available At: doi:10.1080/03637751.2016.1272761
Westerwick, A., Sude, D., Robinson, M., & Knobloch-Westerwick, S. (2020). Peers Versus Pros: Confirmation Bias in Selective Exposure to User-Generated Versus Professional Media Messages and Its Consequences, Mass Communication and Society,Vol. 23,No.4, pp510–536. Available At: https://doi.org/10.1080/15205436.2020.1721542
Wischnewski, M., & Krämer, N. (2024). Does polarizing news become less polarizing when written by an AI? Investigating the perceived credibility of news attributed to a machine in the light of the confirmation bias, Journal of Media Psychology: Theories, Methods, and Applications. Available At : https://dx.doi.org/10.1027/1864-1105/a000441
Wojcieszak, M. (2021). What predicts selective exposure online: Testing political attitudes, credibility, and social identity. Communication Research, 48(5), 687–716. Available At: https://doi.org/10.1177/0093650219844868
Wu, Y., & Mustafa, H. (2023). Exploring the impact of social media exposure patterns on people’s belief in fake news during COVID-19: A cross-gender study, Online Journal of Communication and Media Technologies, Vol.13,No.3, Available At: https://doi.org/10.30935/ojcmt/13117
Yin, D., Mitra, S., & Zhang, H. (2016). When do consumers value positive vs. negative reviews? An empirical investigation of confirmation bias in online word of mouth. Information Systems Research, Vol.27, No. 1, p p131-144. ,Available At:https:// doi: 10.1287/isre.2015.0617
Zhao, H., Fu, S., & Chen, X. (2020). Promoting users’ intention to share online health articles on social media: The role of confirmation bias. Information Processing & Management, 57(6), Article 102354. Available At: https://doi.org/10.1016/j.ipm.2020.102354
Zicheng Cheng,Yanlin Li,.(2023).Like, Comment, and Share on TikTok: Exploring the Effect of Sentiment and Second-Person View on the User Engagement with TikTok News Videos,Social Science Computer Review,Vol.42, No. 1.Available At: https://doi.org10.1177/08944393231178603
Zillmann, D. (2000). Mood management in the context of selective exposure theory, Annals of the International Communication Association, Vol.23No.1, pp103-123.Available At: https://doi.org/10.1080/23808985.2000.11678971
Zimmer, F., Scheibe, K., Stock, W.G. (2018). A Model for Information Behavior Research on Social Live Streaming Services (SLSSs). In: Meiselwitz, G. (eds) Social Computing and Social Media. Technologies and Analytics. SCSM 2018. Lecture Notes in Computer Science(), vol 10914. Springer, Cham. Available At: https://doi.org/10.1007/978-3-319-91485-5_33.
Zimmer, F., Scheibe, K., Stock, M., & Stock, W. G. (2019). Fake news in social media: Bad algorithms or biased users?, Journal of Information Science Theory and Practice, Vol. 7,No.2,pp 40-53.Available At: https://doi.org/10.1633/JISTaP.2019.7.2.4.
Elsayed Abdelmoaty, N., & helmy, E. (2025). Confirmation Bias in Visual News Content Consumption Across Social Media Platforms A Study within the Framework of Cognitive Dissonance Theory””. Journal of Mass Communication Research "JMCR", 75(3), 2307-2434. doi: 10.21608/jsb.2025.392018.1941
MLA
Noha Elsayed Abdelmoaty; eman helmy. "Confirmation Bias in Visual News Content Consumption Across Social Media Platforms A Study within the Framework of Cognitive Dissonance Theory””", Journal of Mass Communication Research "JMCR", 75, 3, 2025, 2307-2434. doi: 10.21608/jsb.2025.392018.1941
HARVARD
Elsayed Abdelmoaty, N., helmy, E. (2025). 'Confirmation Bias in Visual News Content Consumption Across Social Media Platforms A Study within the Framework of Cognitive Dissonance Theory””', Journal of Mass Communication Research "JMCR", 75(3), pp. 2307-2434. doi: 10.21608/jsb.2025.392018.1941
VANCOUVER
Elsayed Abdelmoaty, N., helmy, E. Confirmation Bias in Visual News Content Consumption Across Social Media Platforms A Study within the Framework of Cognitive Dissonance Theory””. Journal of Mass Communication Research "JMCR", 2025; 75(3): 2307-2434. doi: 10.21608/jsb.2025.392018.1941