FACT-CHECKING POLITICAL INFORMATION: A COMPARATIVE ANALYSIS OF POLITICAL FACT-CHECKING BY DUBAWA GHANA AND GHANA FACT DURING GHANA’S 2020 GENERAL ELECTION

Lawrencia Agyepong (Ph.D.) & Lukman Mahami Adams,

ABSTRACT

Fact-checking media content has gained prominence for its role in mitigating the raging effects of fake news. Using a qualitative methodology, specifically, semi-structured interviews, the study examines the conduct of political fact-checking by two organizations namely, Dubawa Ghana and Ghana Fact during Ghana’s 2020 general election. The study realized that the political fact-checking activities of these organizations during the elections included; capacity building of journalists and media organizations, searching for political claims on the various social media platforms, determining fact-check worthiness, using digital tools as well as desktop research, accessing information from available and reliable sources, preparing the fact-check report and determining the verdict. The study recommends that Media and Information Literacy (MIL) Skills should be incorporated into the country’s various educational curricula. In addition, measures to criminalize creators of misinformation should be advocated for by individuals and organizations who envision a healthy political and media ecosystem for Ghana. However, what constitutes criminalization for the creation of misinformation should be carefully stated in a way that will not mean stifling freedom of speech.

Keywords: Political Fact-Checking, Echo Chamber Theory, Media Literacy Education, Fake News, Elections

REFERENCES

  • Allcott, H., & Gentzkow, M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2): 211-236.
  • Amazeen, M. (2013, October 8). Making a Difference: A Critical Assessment of Fact-checking in 2012. New America Foundation. https://www.newamerica.org/new-america/policy-papers/making-a-difference/
  • Asak, M. O., & Molale, T. B. (2020). Deconstructing De-Legitimisation of Mainstream Media as Sources of Authentic News in the Post-Truth Era. Communication, 46 (4): 50–74.
  • Bounegru, L., Gray, G., Venturini, T., & Mauri, M. (2017). A Field Guide to Fake News. A Collection of Recipes for Those Who Love to Cook with Digital Methods. Public Data Lab.
  • Brundidge, J. (2010). Encountering ‘difference’ in the Contemporary Public Sphere: The Contribution of the Internet to the Heterogeneity of Political Discussion Networks. Journal of Communication, 60: 680–700.
  • Bücher, T. (2012). Want to be on the Top? Algorithmic Power and the Threat of Invisibility on Facebook. New Media & Society, 14(7): 1164–1180.
  • Cheruiyot, D. & Ferrer-Conill, R. (2018). Fact-checking Africa. Digital Journalism, 6:8, 964-975.
  • Conger, K., & Alba, D. (2020, May 26). Twitter Grapples Anew with its Trump Conundrum. The New York Times. https://www.nytimes.com/2020/05/26/technology/trump-twitter-scarborough.html
  • Conover, M. D., Ratkiewicz, J., Francisco, M. R., Goncalves, B., Flammini, A., & Menczer, F. (2011). Political Polarization on Twitter. Fifth International Conference on Weblogs and Social media (ICWSM). CA: AAAI, 89–96.
  • Cropley, A. (2021). Introduction to Qualitative Research Methods: A Practice-oriented Introduction for Students of Psychology and Education. (open-access – doi: 10.13140/RG.2.1.3095.6888/1)
  • Donati, D. (2018). Mobile Internet Access and Political Outcomes: Evidence from South Africa. Student Project, Universitat Pompeu Fabra.
  • Downe-Wamboldt, B. (1992). Content Analysis: Method, Application, and Issues. Healthcare for Women International, 13: 313-321.
  • Dubois, E. & Blank, G. (2018). The Echo Chamber is overstated: The Moderating Effect of Political Interest and Diverse Media. Information, Communication & Society, 21(5): 729-745.
  • Goldstein, J., & Rotich, J. (2010). Digitally Networked Technology in Kenya’s 2007-08 Post-Election Crisis. Wajibu, 24(2): 5-13.
  • Graves, L. (2018). Understanding the Promise and Limits of Automated Fact-checking. Technical Report, Reuters Institute, University of Oxford. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2018-02/graves_factsheet_180226%20FINAL.pdf
  • Grinberg, N., Joseph, K., Friedland, L., Thompson, B., & Lazer, D. (2019). Fake News on Twitter during the 2016 U.S. Presidential Election. Science, 363(6425):374-378.
  • Guess, A., Tucker, J. & Nagler, J. (2019). Less than you Think: Prevalence and Predictors of Fake News Dissemination on Facebook. Science Advances, 5(1): eaau4586
  • Hart, W., Albarracín, D. & Eagly, A. (2009). Feeling Validated Versus Being Correct: A Meta-analysis of Selective Exposure to Information. Psychological Bulletin. 135(4): 555–588.
  • Iyengar, S., & Hahn, K. S. (2009). Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use. Journal of Communication, 59, 19–39.
  • Jamieson, K., & Cappella, J. (2008). Echo Chamber: Rush Limbaugh and the Conservative Media Establishment. Oxford UP
  • Ken, B. (2010). Business Statistics: Contemporary Decision Making. 6th edition, Pearson Education Limited.
  • Kessler, G. (2016, May 08). Trump Repeats the Same Lies even when they’re Proven False. The Charlotte Observer. http://www.charlotteobserver.com/opinion/article76441787.html
  • Kondracki, N., & Wellman, N. (2002). Content Analysis: Review of Methods and their Applications in Nutrition Education. Journal of Nutrition Education and Behavior, 34, 224-230.
  • Lawrence, E., Sides, J., & Farrell, H. (2010). Self-segregation or Deliberation? Blog Readership, Participation, and Polarization in American Politics. Perspectives on Politics, 8(1): 141–157.
  • Lim, S. S., & Nekmat, E. (2008). Learning through ‘prosuming’: Insights from media literacy programmes in Asia. Science Technology & Society, 13 (2):259-278.
  • Madrid- Morales, D., Wasserman, H., Gondwe, G., Ndlovu, K., Sikanku, E., Tully, M., Umeji, E., & Uzuegbunam, C. (2021). Motivations for Sharing Misinformation: A Comparative Study in Six Sub-Saharan African Countries. International Journal of Communication. 15(2021): 1200–1219
  • Martens, H. (2010). Evaluating Media Literacy Education: Concepts, Theories and Future Directions. Journal of Media Literacy Education 2(1): 1 – 22
  • Media Foundation for West Africa. (2016, December 15). 2016 Elections; 98 Campaign Claims Fact-checked-28% of Claims False, others Half-truths. Fact Check Ghana, MFWA.
  • Mocanu, D., Rossi, L., Zhang, Q., Karsai, M., & Quarrttociocchi, W. (2015). Collective Attention in the Age of (Mis) information. Computers in Human Behavior, 51:1198-1204.
  • Nyhan, B. & Reifler, J. (2015). The Effect of Fact-checking on Elites: A field Experiment on US State Legislators. American Journal of Political Science, 59 (3): 628-640
  • Ramasubramanian, S. (2007). Media-based strategies to reduce racial stereotypes activated by news stories. Journalism & Mass Communication Quarterly, 84 (2):249-264.
  • Sanny, N., & Selormey, E. (2020). Double-edged Sword? Ghanaians see Pros, Cons of Social Media, want Access but not Fake News. Afrobarometer, Dispatch No. 366.
  • Silverstone, R. (2004). Regulation, media literacy and media civics. Media Culture Society, 26 (3):440-449.
  • Tornberg, P. (2018). Echo Chambers and Viral Misinformation: Modelling Fake News as Complex Contagion. Plos One. 13(9): e0203958.
  • Tyner, K. (2003). Beyond boxes and wires: Literacy in transition. Television New Media, 4 (4):371-388.
  • Zhang, X., & Li. W. (2020). From Social Media with News: Journalists’ Social Media Use for Sourcing and Verification. Journalism Practice, 14 (10): 1193–1210.