التحيز التأكيدي في استهلاك المحتوى الإخباري المرئى عبر منصات التواصل الاجتماعي

السيد عبد المعطي, نها; حلمى  سلامة, إيمان

doi:10.21608/jsb.2025.392018.1941

	التحيز التأكيدي في استهلاك المحتوى الإخباري المرئى عبر منصات التواصل الاجتماعي "دراسة في إطار نظرية التنافر المعرفي"
مجلة البحوث الإعلامية
Volume 75, Issue 3, July 2025, Page 2307-2434 PDF (16.64 MB)
Document Type: المقالة الأصلية
DOI: 10.21608/jsb.2025.392018.1941
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Authors
نها السيد عبد المعطي ¹; إيمان حلمى سلامة²
¹قسم الإعلام - كلية الأداب- جامعة سوهاج
²شعبة الاذاعة والتليفزيون- قسم الاعلام - كلية الآداب - جامعة كفر الشيخ
Abstract
تهدف الدراسة إلى استكشاف التحيز التأكيدي (Confirmation Bias) في أنماط استهلاك المحتوى الإخباري المرئي عبر منصات التواصل الاجتماعي في ضوء نظرية التنافر المعرفي، وذلك بالتركيز على دور خوارزميات التوصية وتكوين غرف الصدى في هذا السياق. تسعى الدراسة إلى فهم العوامل الاجتماعية والنفسية التي تسهم في تعزيز التحيز التأكيدي، بما في ذلك تأثير الخصائص البصرية والتفاعلية للمحتوى المرئي مقارنة بالمحتوى المكتوب، ودور كثافة استخدام المنصات الرقمية، بالإضافة إلى الاستراتيجيات التي يستخدمها الأفراد لتقليل التنافر المعرفي عند مواجهة محتوى متعارض مع معتقداتهم. تعتمد الدراسة على أداة الاستبيان على عينة قوامها 505 مفردات للوصول لمؤشرات حول تفضيلات المستخدمين وأنماط تفاعلهم مع الأخبار المرئية على المنصات الرقمية، يرتكز الإطار النظري للدراسة على نظرية التنافر المعرفي، التي تُفسر كيفية تعامل الأفراد مع المعلومات المتعارضة. أظهرت نتائج الدراسة وجود علاقة ارتباطية إيجابية بين دور خوارزميات التوصية وتكوين غرف الصدى في اختيار المحتوى الإخباري المرئي ومستوى التحيز التأكيدي لدى المبحوثين، كما تبين أن الخصائص البصرية والتفاعلية للمحتوى المرئي تزيد من التحيز التأكيدي بشكل أكبر مقارنة بالمحتوى المكتوب. كما كشفت الدراسة أن كثافة استخدام المنصات الرقمية تعزز التحيز التأكيدي من خلال زيادة التجانس الفكري، وأشارت النتائج إلى تسلسل في مستويات التحيز التأكيدي، حيث يبدأ بالتعرض الانتقائي، ويرتفع في مرحلة تفسير المعلومات (الأعلى مستوى)، وينتهي بمرحلة معالجة المعلومات ومشاركتها، مع ارتباط وثيق بين التنافر المعرفي والتحيز التأكيدي، كما يلجأ المبحوثين إلى استراتيجيات مثل التجاهل الانتقائي وإعادة التفسير للتعامل مع التنافر المعرفي الناتج عن التعرض لمحتوى متعارض مع معتقداتهم.
Keywords
التحيز التأكيدي; المحتوى الإخباري المرئي; التنافر المعرفي


References
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 Chen,Gina Masullo, Peter, S. Chen, Chen-Wei Chang, Zainul Abedin,. (2017). News video quality affects online sites’ credibility, Newspaper Research Journal, vol. 38, No. 1, Available At: https://06113pxgy-1104-y-https-journalssagepub-com.mplbci.ekb.eg/doi/full/10.1177/0739532917696087 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,1^st ed, London:SAGE Publications Ltd ,Available At: DOI:10.4135/9781446214282 Creech,Brian, Nadler, Anthony M.(2017). Post-industrial fog: Reconsidering innovation in visions of journalism’s future, journalism, Vol 19, Issue 2,Available At: https://journals.sagepub.com/doi/abs/10.1177/1464884916689573 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. Graham, R.(2007). Theory Cognitive dissonance as it Pertains to Morality, Journal of Scientific Psychology. 20-23.Available At http://www.psyencelab.com/uploads/5/4/6/5/54658091/theory_of_cognitive_dissonance_as_it_pertains_to_morality.pdf 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 ,2^nd, 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. Hofhuis,J., Gonçalves,J., Schafraad,P., Wu,B.(2024). Examining strategic diversity communication on social media using supervised machine learning: Development, validation and future research directions, Public Relations Review, 50,No.1,pp101-115, Available At: DOI:10.1016/j. pubrev.2024.102431 https://www.researchgate.net/publication/376650357_Exploring_The_Impact_Of_Social_Media_On_The_Dynamics_Of_News_Consumption_A_Study_On_Its_Effectiveness 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 Masta, K. E., and E. Shearer.( 2018). “News Use Across Social Media Platforms 2018.” Pew Research Center, Journalism & Media. Available At: http://www.journalism.org/2018/09/10/news-use-across-socialmedia- platforms-2018/ 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 Nyhan B., Reifler J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior ,Vol. 32, No.2,pp 303–330.Available At : https://link.springer.com/article/10.1007/s11109-010-9112-2 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 Pariser, E. (2011). The Filter Bubble: What the Internet is Hiding from You, New York:Penguin Press.Available At: https://escholarship.org/content/qt8w7105jp/qt8w7105jp.pdf?t=mhzvpm 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 Pew Research Center.(2024). Social Media and News Fact Sheet, Available At: https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/ 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 Simkus,Julia.(2023).Confirmation Bias In Psychology: Definition & Examples, Cognitive Psychology ,Available At https://www.simplypsychology.org/confirmation-bias. 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. Strategy & Google News Initiative. (2024). Most MENA consumers use social media and mobile for news, consultancy-me ,Available At : https://www.consultancy-me.com/news/8247/most-mena-consumers-use-social-media-and-mobile-for-news 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 Stroud N. J. (2010). Polarization and partisan selective exposure. Journal of Communication ,Vol. 60, No.3,pp 556–576.Available At: https://doi.org/10.1111/j.1460-2466.2010.01497.x Stroud, N. J. (2011). Niche news: The politics of news choice,1^st ed,( Oxford University: Press on Demand). Stroud, N. J. (2010). Polarization and partisan selective exposure. Journal of Communication, Vol 60(3), 556–576. Available At https://doi.org/10.1111/j.1460-2466.2010.01497.x 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. Sweeney, J. C., Hausknecht, D., & Soutar, G. N. (2000). Cognitive dissonance after purchase: A multidimensional scale. Psychology & Marketing, 17(5), 369-385. Available Athttps://doi.org/10.1002/(SICI)1520-6793(200005)17:5<369::AID- 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 Tiainen, N. (2023). Mitigating confirmation bias caused by social media algorithms Bachelor’s thesis in Information and Service Management, Aalto University. Available At: https://aaltodoc.aalto.fi/items/5a64d8bd-2fd3-4188-9ec0-9f6d7e58dad2 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,2^nd 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 & Individual Differences, 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.
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