Combatting Disinformation: Analyzing Effective Communication Strategies and Tactics for Organizational Resilience
DOI:
https://doi.org/10.51698/tripodos.2025.57.01Keywords:
disinformation, Strategic Communication, Organizational Resilience, Crisis Management, fact-checkingAbstract
In an era where disinformation spreads at unprecedented speeds, strategic communication emerges as a critical tool in countering false narratives and building resilience within organizations. This study delves into the effectiveness of communication strategies in combating disinformation and enhancing organizational resilience. Using case studies and content analysis of five multinational corporations and five political organizations, the study is guided by the Situation Crisis Communication Theory (SCCT) and Resilience Theory (RT). The findings uncovered varying effectiveness in communication strategies, including immediate clarifications, social media engagement, and collaboration with fact-checkers. Further findings revealed that multinational corporations demonstrated success in proactive measures such as real-time monitoring and transparency, resulting in reduced disinformation spread by up to 40%. In contrast, political organizations while facing unique challenges due to polarized environments achieved notable gains through grassroots engagement and rapid responses. Further findings revealed the critical role of trust-building and tailored communication strategies in fostering stakeholder confidence. The study proposes a six-pronged framework integrating proactive monitoring, transparent communication, and stakeholder collaboration to mitigate disinformation and enhance resilience. These findings contribute theoretical insights and practical strategies to the fields of crisis communication and organizational studies.
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References
Allcott, Hunt and Gentzkow, Matthew (2017). Social media and fake news in the 2016 Election. Journal of Economic Perspectives, 31(2), 211-236. doi.org/10.1257/jep.31.2.211
Angwin, Julia; Larson, Jeff; Mattu, Surya; Kirchner, Lauren, and Langford, Terry P. (2016). Machine bias: There’s software used across the country to predict future criminals. And it’s biased against blacks. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-incriminal-sentencing.
Barton, Laurence (2001). Crisis in organizations II (2nd ed.). South-Western College Publishing.
Benkler, Yochai; Faris, Robert, and Roberts, Hal (2018). Network propaganda: Manipulation, disinformation, and radicalization in American politics. Oxford University Press.
Bennett, W. Lance and Livingston, Steven (2018). The disinformation age: Politics, technology, and disruptive communication in the United States. Cambridge University Press.
Benoit, William L. (2014). Accounts, excuses and apologies: Image repair theory and research. Suny Press.
Bernays, Edward L. (1928). Propaganda. H. Liveright.
Bridgman, Ainsley; Merkley, Eric; Loewen, Peter J.; Owen, Taylor; Ruths, Derek; Teichmann, Laura, and Zhilin, Oh (2020). The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media. Harvard Kennedy School Disinformation Review.
Chesney, Robert and Citron, Danielle K. (2019). Deepfakes and the new disinformation war: The coming age of post-truth geopolitics. Foreign Affairs, 98(1), 147-155.
Constâncio, Alex Sebastião; Tsunoda, Denise Fukumi. F.; Silva, Helena de Fátima; Martins da Silveira, Jocelaine, and Ribeiro Carvalho, Deborah (2023). Deception detection with machine learning: A systematic review and statistical analysis. PloS one, 18(2), e0281323. https://doi.org/10.1371/journal.pone.0281323
Coombs, W. Timothy (2007). Ongoing crisis communication: Planning, managing, and responding. Sage Publications.
Creswell, John W. and Poth, Cheryl N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications.
Culotta, Aaron (2014). Towards detecting influenza epidemics by analyzing Twitter messages. Proceedings of the 5th International Conference on Health Informatics, 143-149.
DiFonzo, Nicholas and Bordia, Prashant (2007). Rumor psychology: Social and organizational approaches. American Psychological Association.
Eisenhardt, Kathleen M. and Graebner, Melissa E. (2007). Theory building from cases: Opportunities and challenges. The
Academy of Management Journal, 50(1), 25-32. http://www.jstor.org/stable/20159839.
Fallis, Don (2015). What is disinformation? Library Trends, 63(3), 401-426.
Faraj, Samer; Jarvenpaa, Sirkka L., and Majchrzak, Ann (2011). Knowledge collaboration in online communities. Organization Science, 22, 1224-1239.
Ferrara, Emilio (2017). Disinformation and social bot operations in the run-up to the 2017 French presidential election. First Monday, 22(8).
Flyvbjerg, Bent (2006). Five misunderstandings about case-study research. Qualitative Inquiry, 12(2), 219-245. https://doi.org/10.1177/1077800405284363
Gorwa, Robert (2019). What is platform governance? Information, Communication & Society, 22(6), 854-871. https://doi.org/10.1080/1369118X.2019.1573914
Graves, Lucas (2016). Deciding what’s true: The rise of political fact-checking in American Journalism. Columbia University Press. https://doi.org/10.7312/grav17506
Holling, Crawford Stanley (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23. http://www.jstor.org/stable/2096802
Krippendorff, K. (1980). Content analysis: An introduction to its methodology. Beverly Hills, CA: Sage Publications.
Lazer, David M. J.; Baum, Matthew A.; Benkler, Yochai; Berinsky, Adam J.; Greenhill, Kelly M.; Menczer, Filippo; Metzger, Miriam J.; Nyhan, Brendan; Pennycook, Gordon; Rothschild, David; Schudson, Michael; Sloman, Steven A.; Sunstein, Cass R.; Thorson, Emily A.; Watts, Duncan J., and Zittrain, Jonathan L. (2018). The science of fake news. Science, 359(6380), 1094-1096. https://doi.org/10.1126/science.aao2998.
Lewandowsky, Stephan; Ecker, Ullrich KH, and Cook, John (2017). Beyond disinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353-369. https://doi.org/10.1016/j.jarmac.2017.07.008
Markus, Lynne M. and Robey, David (1988). Information technology and organizational change: Causal structure in theory and research. Management Science, 34(5), 583-598. https://doi.org/10.1287/mnsc.34.5.583
Palinkas, Lawrence A.; Horwitz, Sarah M.; Green, Carla A.; Wisdom, Jennifer P.; Duan, Naihua, and Hoagwood, Kimberly (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health, 42(5), 533-544. https://doi.org/10.1007/s10488-013-0528-y
Pennycook, Gordon and Rand, David. G. (2019). Fighting disinformation on social media using crowdsourced judgments of news source quality. Proceedings of the National Academy of Sciences of the United States of America, 116(7), 2521-2526. https://doi.org/10.1073/pnas.1806781116
Ridder, Hans-Georg (2012). [Review of Case Study Research. Design and Methods 4th ed., by Robert K. Yin]. Zeitschrift Für Personalforschung / German Journal of Research in Human Resource Management, 26(1), 93-95. http://www.jstor.org/stable/
Salmon, Charles T. (1989). Manufacturing consent: The political economy of the mass media. Journalism & Mass Communication Quarterly, 66, 494.
Schreier, Margrit (2012). Qualitative content analysis in practice. Sage Publications.
Shao, Chengcheng; Ciampaglia, Giovanni Luca; Varol, Onur; Yang, Kai-Cheng; Flammini, Alessandro, and Menczer, Filippo (2018). The spread of low-credibility content by social bots. Nature Communications, 9(1), 4787. https://doi.org/10.1038/s41467-018-06930-7.
Sims, Henry P.; Faraj, Samer, and Yun, Seokhwa (2009). When should a leader be directive or empowering? How to develop your own situational theory of leadership. Business Horizons, 52, 149-158.
Stake, Robert E. (2006). Multiple case study analysis. Guilford Press.
Sunstein, Cass R. (2001). Echo chambers: Bush v. Gore, impeachment, and beyond. Princeton University Press.
Thorne, James and Vlachos, Andreas (2018). Automated fact checking: Task formulations, methods and future directions. ArXiv, abs/1806.07687.
Tsfati, Yariv and Cappella, Joseph N. (2003). Do people watch what they do not trust? Exploring the association between news media skepticism and exposure. Communication Research, 30(5), 504-529.
Tucker, Joshua A.; Guess, Andrew M.; Barberá, Pablo; Vaccari, Cristian; Siegel, Alexandra; Sanovich, Sergey; Stukal, Denis K., and Nyhan, Brendan (2018). Social media, political polarization, and political disinformation: A review of the scientific literature. Annual Review of Political Science, 21, 527-545.
Veil, Shari R.; Buehner, Tara, and Palenchar, Michael J. (2011). A work in process literature review: Incorporating social media in risk and crisis communication. Journal of Contingencies and Crisis Management, 19(2), 110-122.
Vlachos, Angelos and Riedel, Seth (2014). Fact checking: Task definition and dataset construction. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 18-22. https://doi.org/10.3115/v1/D14-1004
Vogus, Timothy J. and Sutcliffe, Kathleen, M. (2003). Organizing for resilience. In K. S. Cameron, J. E. Dutton and R. E. Quinn, Positive organizational scholarship: Foundations of a new discipline (94-110).
Vosoughi, Soroush; Roy, Deb, and Aral, Sinan (2018). The spread of true and false news online. Science, 359(6380), 1146-1151. https://doi.org/10.1126/science.aap9559.
Walker, Brian; Holling, Crawford S.; Carpenter, Stephen R., and Kinzig, Ann (2004). Resilience, adaptability and transformability in social-ecological systems. Ecology and Society, 9(2). http://www.jstor.org/stable/26267673.
Wardle, Claire and Derakhshan, Hossein (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Council of Europe.
Zhao, Yuchen and Resnick, Paul (2015). Detecting rumor propagation in social networks using machine learning. arXiv preprint arXiv:1509.01875.
Zhou, Xia; Zafarani, Reza; Shu, Kai, and Liu, Huan (2019). Fake news: Fundamental theories, detection strategies and challenges.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining.
Zollo, Fabiana; Bessi, Alessandro; Vicario, Michela del; Scala, Antonio; Caldarelli, Guido; Shekhtman, Liron; Havlin, Shlomo, and Quattrociocchi, Walter (2017). Debunking in a world of tribes. Plos One, 12(7), e0181821. https://doi.org/10.1371/journal.pone.0181821.
Zuboff, Shoshana (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Public Affairs.
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