ANALYZING THE IMPACT OF FALSE INFORMATION ON SOCIAL MEDIA: IMPLICATIONS FOR SOCIETY
Volume 2, Issue 1, Pp 30-41, 2025
DOI: https://doi.org/10.61784/jtah3037
Author(s)
Prosper Kwame Kuorsoh1*, Ebenezer Nyamekye Nkrumah2
Affiliation(s)
1Department of Communication Studies, Simon DiedongDombo University of Business and Integrated Development Studies Wa, Ghana.
2Department of Strategic Communication University of Education, Winneba - Winneba, Ghana.
Corresponding Author
Prosper Kwame Kuorsoh
ABSTRACT
The spread of fake news on social media platforms has adverse consequences to the creation and dissemination of knowledge as well as peoples’ trust. This paper endeavors to fill this gap of knowledge to distinguish the engagement with the misinformation contrary to accurate information and the findings which are so crucial in providing the appropriate direction of combating fake news. The main purpose of this research is to understand the effects of misinformation, as well as correct information, on users of the major social media platforms. The objectives of the study include numerating such actions as like, share, and comment on false and true content and also evaluating the impact of content verification in users’ actions. This study uses both quantitative and qualitative research methodologies in an attempt to answer the research questions. Data was gathered using web scraping and API permission from the three primary social media platforms, these included Twitter, Facebook and Instagram using hash tags concerning COVID-19. The social media data which includes likes, shares and comments were summarized using descriptive statistics, t – tests and regression. Also, the analysis included content verification status to determine its significance to the user interaction. This research proves that the amount of audience engagement on misinformation posts is higher than accurate information post. To be precise, fake news received 433 ‘likes’, 176 ‘shares’ and 55 comments while real news gained 181 ‘likes’, 76 ‘shares’ and 28 comments. These differences are as well supported by statistical tests which showed that this finding is statistically significant. This means that interaction rates are high in posts of users who have been verified thus verifying statuses directly relate to increased engagement. In order to reduce the ‘fake news’ effect, social media sites should strengthen measures of validating posts and increase the circulation of real news. Public policy makers and platform administers should come up with and deploy effective no-trace strategies for combating and preventing fake news and creating an informed society.
KEYWORDS
Facebook; Misinformation; Social media; Social sciences; User engagement
CITE THIS PAPER
Prosper Kwame Kuorsoh, Ebenezer Nyamekye Nkrumah. Analyzing the impact of false information on social media: implications for society. Journal of Trends in Arts and Humanities. 2025, 2(1): 30-41. DOI: https://doi.org/10.61784/jtah3037.
REFERENCES
[1] Pande P C, Asthana K B. Social Media and Cultural Trends. International Journal for Multidimensional Research Perspectives, 2024, 2(6), 26-33.
[2] Dhall S, Dwivedi A D, Pal S K, et al. Blockchain-based framework for reducing fake or vicious news spread on social media/messaging platforms. Transactions on Asian and Low-Resource Language Information Processing, 2021, 21(1): 1-33.
[3] Guess A M, Lyons B A. Misinformation, disinformation, and online propaganda. Social media and democracy: The state of the field, prospects for reform, 2020, 10.
[4] Olan F, Jayawickrama U, Arakpogun E O, et al. Fake news on social media: the impact on society. Information Systems Frontiers, 2024, 26(2): 443-458.
[5] Harrigan P, Miles M P, Fang Y, et al. The role of social media in the engagement and information processes of social CRM. International Journal of Information Management, 2020, 54: 102151.
[6] Ruse M. Why we hate: Understanding the roots of human conflict. Oxford University Press, 2022.
[7] Giry J. Panic (s) in Our Plates: Contemporary Legends and Conspiracy Theories on Food. Contemporary Legend, 2023, 1: 1-24.
[8] Burns R B. Impacts of Fake News and Conspiracy Theory. In The Human Impact of the COVID-19 Pandemic: A Review of International Research. Singapore: Springer Nature Singapore, 2023: 59-89.
[9] Shankar R, Ahmad T. Social Media, Artificial Intelligence and Role of Tech Firms in the Age of Disinformation: Impact on Democracy and Regulatory Challenges in India. Turkish Online Journal of Qualitative Inquiry, 2021, 12(6).
[10] Baptista J P, Gradim A. Understanding fake news consumption: A review. Social Sciences, 2020, 9(10): 185.
[11] Coscia M, Rossi L. How minimizing conflicts could lead to polarization on social media: An agent-based model investigation. PloS one, 2022, 17(1): e0263184.
[12] Reisach U. The responsibility of social media in times of societal and political manipulation. European journal of operational research, 2021, 291(3): 906-917.
[13] Flanagin A J, Winter S, Metzger M J. Making sense of credibility in complex information environments: the role of message sidedness, information source, and thinking styles in credibility evaluation online. Information, Communication & Society, 2020, 23(7): 1038-1056.
[14] Chossudovsky M. The 2020 worldwide corona crisis: Destroying civil society, engineered economic depression, global coup d’état, and the “Great Reset”. 2021.
[15] Banerjee D, Meena K S. RETRACTED: COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media. Frontiers in Public Health, 2021, 9: 610623.
[16] Montesi M. Understanding fake news during the Covid-19 health crisis from the perspective of information behaviour: The case of Spain. Journal of Librarianship and Information Science, 2021, 53(3): 454-465.
[17] Cavaliere P. From journalistic ethics to fact-checking practices: defining the standards of content governance in the fight against disinformation. Journal of media law, 2020, 12(2): 133-165.
[18] Hartley K, Vu M K. Fighting fake news in the COVID-19 era: policy insights from an equilibrium model. Policy sciences, 2020, 53(4): 735-758.
[19] Higdon N. The anatomy of fake news: A critical news literacy education. University of California Press, 2020.
[20] Giansiracusa N. How algorithms create and prevent fake news (pp. 17-39). Berkeley, CA: Apress, 2021.
[21] Cho J, Ahmed S, Hilbert M, et al. Do search algorithms endanger democracy? An experimental investigation of algorithm effects on political polarization. Journal of Broadcasting & Electronic Media, 2020, 64(2): 150-172.
[22] De Keersmaecker J, Dunning D, Pennycook G, et al. Investigating the robustness of the illusory truth effect across individual differences in cognitive ability, need for cognitive closure, and cognitive style. Personality and Social Psychology Bulletin, 2020, 46(2): 204-215.
[23] Schroeder D T. Explaining News Spreading Phenomena in Social Networks: From Data Acquisition and Processing to Network Analysis and Modelling. Technische Universitaet Berlin (Germany), 2022.
[24] Bryanov K, Vziatysheva V. Determinants of individuals’ belief in fake news: A scoping review determinants of belief in fake news. PLoS one, 2021, 16(6): e0253717.
[25] Watts D J, Rothschild D M, Mobius M. Measuring the news and its impact on democracy. Proceedings of the National Academy of Sciences, 2021, 118(15): e1912443118.
[26] Jin Q, Raza S H, Yousaf M, et al. Ingraining polio vaccine acceptance through public service advertisements in the digital era: The moderating role of misinformation, disinformation, fake news, and religious fatalism. Vaccines, 2022, 10(10): 1733.
[27] Apuke O D, Omar B. Social media affordances and information abundance: Enabling fake news sharing during the COVID-19 health crisis. Health informatics journal, 2021, 27(3): 14604582211021470.
[28] Schuetz S W, Sykes T A, Venkatesh V. Combating COVID-19 fake news on social media through fact checking: antecedents and consequences. European Journal of Information Systems, 2021, 30(4): 376-388.
[29] Rochefort A. Regulating social media platforms: A comparative policy analysis. Communication Law and Policy, 2020, 25(2): 225-260.
[30] Moore R C, Hancock J T. A digital media literacy intervention for older adults improves resilience to fake news. Scientific reports, 2022, 12(1): 6008.
[31] Datta P, Whitmore M, Nwankpa J K. A perfect storm: social media news, psychological biases, and AI. Digital Threats: Research and Practice, 2021, 2(2): 1-21.
[32] Ackland R, Gwynn K. Truth and the dynamics of news diffusion on twitter. In The psychology of fake news. Routledge, 2020: 27-46.
[33] Staender A, Humprecht E, Esser F, et al. Is sensationalist disinformation more effective? Three facilitating factors at the national, individual, and situational level. Digital journalism, 2022, 10(6): 976-996.
[34] Kozyreva A, Lewandowsky S, Hertwig R. Citizens versus the internet: Confronting digital challenges with cognitive tools. Psychological Science in the Public Interest, 2020, 21(3): 103-156.
[35] Sui M, Hawkins I, Wang R. When falsehood wins? Varied effects of sensational elements on users’ engagement with real and fake posts. Computers in Human Behavior, 2023, 142: 107654.
[36] Tseng H T. Shaping path of trust: the role of information credibility, social support, information sharing and perceived privacy risk in social commerce. Information Technology & People, 2023, 36(2): 683-700.
[37] Leong A D, Ho S S. Perceiving online public opinion: The impact of Facebook opinion cues, opinion climate congruency, and source credibility on speaking out. New Media & Society, 2021, 23(9): 2495-2515.