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Authors

Douglas Wilbur *

Abstract

Background: Rumor and disinformation are typically studied separately, leaving rumor’s tactical role within disinformation systems and its implications for societal resilience underexamined. This study addresses that gap by examining rumor’s structural role within disinformation texts. Methods: A mixed-methods content analysis coded 250 disinformation texts from EUvsDisinfo for ten linguistic and emotional features linked to rumor construction. Quantitative coding identified explicit rumors and measured signal-variable intensity, while thematic analysis of a 25 percent subsample examined how these features functioned rhetorically. Results: Explicit rumors appeared in only 36 texts (14.4 percent), yet rumor-related signals, uncertainty, vague attribution, and emotional language, were pervasive throughout the corpus. Emotional intensity correlated significantly with credibility-related linguistic indicators, and this relationship strengthened as rumor intensity increased. The resulting rumor atmosphere was strongest in crisis-adjacent themes such as war and economic instability. Conclusions: Rumor functions as a structural component of disinformation rather than an occasional feature, extending Affective Intelligence Theory into digital environments where anxiety may direct audiences toward emotionally satisfying interpretations rather than careful verification. Significance: By linking rumor’s structural role to the conditions that erode societal resilience, this study offers journalism and resilience practitioners a more precise target for intervention than fact-checking alone.

Keywords:
Rumor, disinformation, fake news, resilience, crisis communication, affective intelligence theory

Article Details

References

[1]Garrett, L. (2011). Ebola’s return: Why global health security matters. Foreign Affairs, 90(6), 123–134.

[2]Wilkinson, C., & Leach, M. (2015). Briefing: Ebola–myths, realities, and structural violence. African Affairs, 114(454), 136–148. https://doi.org/10.1093/afraf/adu080

[3]DiFonzo, N., & Bordia, P. (2007). Rumor psychology: Social and organizational approaches. American Psychological Association. https://doi.org/10.1037/11503-000

[4]Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking. Council of Europe. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c

[5]Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211

[6]Edy, J. A., & Risley-Baird, E. E. (2016). Rumor communities: The social dimensions of Internet political misperceptions. Social Science Quarterly, 97(3), 588–602. https://doi.org/10.1111/ssqu.12309

[7]Bae, S. Y. (2020). The social mediation of political rumors: Examining the dynamics in social media and belief in political rumors. Journalism, 21(10), 1522–1538. https://doi.org/10.1177/1464884917722657

[8]Kim, J. W. (2018). Rumor has it: The effects of virality metrics on rumor believability and transmission on Twitter. New Media & Society, 20(12), 4807–4825. https://doi.org/10.1177/1461444818784945

[9]Greenhill, K. M., & Oppenheim, B. (2017). Rumor has it: The adoption of unverified information in conflict zones. International Studies Quarterly, 61(3), 660–676. https://doi.org/10.1093/isq/sqx015

[10]Yang, S., Liu, Z., Jiang, X., Sun, X., Lin, Y., Yuan, Y., Zhu, Y., Zhao, Q., Hu, Y., & Wang, T. (2023). Understanding rumor sharing behavior during COVID-19: The dominant motivation and the potential consequences for life satisfaction. The Journal of Psychology, 157(5), 339–366. https://doi.org/10.1080/00223980.2023.2206605

[11]Kwak, N., Lane, D. S., Zhu, Q., Lee, S. S., & Weeks, B. E. (2020). Political rumor communication on instant messaging platforms: Relationships with political participation and knowledge. International Journal of Communication, 14, 5663–5685.

[12]Aïmeur, E., Amri, S., & Brassard, G. (2023). Fake news, disinformation and misinformation in social media: A review. Social Network Analysis and Mining, 13(1), 19. https://doi.org/10.1007/s13278-023-01028-5

[13]Rosnow, R. L., & Fine, G. A. (2020). Rumor and gossip in the age of social media. Routledge.

[14]Shibutani, T., & DiFonzo, N. (2019). Rumor as collective problem solving in networked societies. Social Psychology Quarterly, 82(3), 267–285.

[15]Lee, J., Agrawal, M., & Rao, H. R. (2017). Informed public against false rumor in the social media era: Focusing on social media and news media. Telematics and Informatics, 35(1), 213–225. https://doi.org/10.1016/j.tele.2017.12.017

[16]Pröllochs, N., Feuerriegel, S., & Dietrich, T. (2021). Emotions explain differences in the diffusion of true and false social-media rumors. Scientific Reports, 11(1), 22770. https://doi.org/10.1038/s41598-021-01813-2

[17]Lee, S., Choi, J., & Kim, M. (2021). Mechanics of online rumor mills and epistemic motivations in political discourse. Journal of Communication, 71(6), 893–917.

[18]Oh, O., Agrawal, M., & Rao, H. R. (2013). Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises. MIS Quarterly, 37(2), 407–426. https://doi.org/10.25300/MISQ/2013/37.2.05

[19]Friggeri, A., Adamic, L. A., Eckles, D., & Cheng, J. (2014). Rumor cascades. Proceedings of the Eighth International Conference on Weblogs and Social Media (ICWSM), 101–110. https://doi.org/10.1609/icwsm.v8i1.14559

[20]Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. https://doi.org/10.1126/science.aaa1160

[21]Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849

[22]Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106–131. https://doi.org/10.1177/1529100612451018

[23]Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313–7318. https://doi.org/10.1073/pnas.1618923114

[24]Wardle, C., & Derakhshan, H. (2017). Information disorder: Toward an interdisciplinary framework for research and policymaking. Council of Europe. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c

[25]Fallis, D. (2015). What is disinformation? Library Trends, 63(3), 401–426. https://doi.org/10.1353/lib.2015.0014

[26]Albarracín, D., Albarracín, J., Chan, M.-P. S., & Jamieson, K. H. (2021). Creating conspiracy beliefs: How our thoughts are shaped. Cambridge University Press. https://doi.org/10.1017/9781108990936

[27]Wilbur, D. (2024). Weaponized conspiracy theories: A new method for strategic communicators to analyze conspiracy theories in the service of malign actors. Journal of Military and Strategic Studies, 23(3), 140–162. https://doi.org/10.55016/w2c17820

[28]Zubiaga, A., Liakata, M., Procter, R., Hoi, G. W. S., & Tolmie, P. (2017). Analysing how people orient to and spread rumours in social media by looking at conversational threads. In Social Informatics (pp. 117–135). Springer, Cham. https://doi.org/10.1371/journal.pone.0150989

[29]Starbird, K., Arif, A., & Wilson, T. (2019). Disinformation as collaborative work: Surfacing the participatory nature of strategic information operations. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1–26. https://doi.org/10.1145/3359229

[30]Margolin, D. B. (2020). The theory of informative fictions: A character-based approach to false news and other misinformation. Communication Theory, 30(4), 388–409. https://doi.org/10.2139/ssrn.3369396

[31]Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559

[32]Tandoc, E. C., Jr., Jenkins, J., & Craft, S. (2019). Fake news as a critical incident in journalism. Journalism Practice, 13(6), 673–689. https://doi.org/10.1080/17512786.2018.1562958

[33]Taïeb, E. (2007). The “rumours” of journalism. Diogenes, 54(1), 107–124. https://doi.org/10.1177/0392192107075293

[34]Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998

[35]Bradshaw, S., Howard, P. N., Neudert, L.-M., & Kollanyi, B. (2020). Sourcing and automation of political news and information over social media in the United States, 2016–2018. Political Communication, 37(2), 173–193. https://doi.org/10.1080/10584609.2019.1663322

[36]Meel, P., & Vishwakarma, D. K. (2020). Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities. Expert Systems with Applications, 153, 112986. https://doi.org/10.1016/j.eswa.2019.112986

[37]Koohikamali, M., & Gerhart, N. (2022). False rumor (fake) and truth news spread during a social crisis. Proceedings of the 55th Hawaii International Conference on System Sciences, 2960–2966. https://hdl.handle.net/10125/79699

[38]Freelon, D., & Wells, C. (2020). Disinformation as political communication. Political Communication, 37(2), 145–156. https://doi.org/10.1080/10584609.2020.1723755

[39]Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016). The spreading of misinformation online. Proceedings of the National Academy of Sciences, 113(3), 554–559. https://doi.org/10.1073/pnas.1517441113

[40]Moldovan, I. (2025). Fake news: Offensive or defensive weapon in information warfare? Social Sciences, 14(8), 476. https://doi.org/10.3390/socsci14080476

[41]Young, J. C. (2021). Disinformation as the weaponization of cruel optimism. New Media & Society, 23(5), 1234–1256. https://doi.org/10.1177/1461444820904368

[42]Jamalzadeh, S., Mettenbrink, L., Barker, K., González, A. D., Radhakrishnan, S., Johansson, J., & Bessarabova, E. (2024). Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks. Reliability Engineering and System Safety, 243, Article 109819. https://doi.org/10.1016/j.ress.2023.109819

[43]Barberá, P., Boydstun, A. E., Linn, S., McMahon, R., & Nagler, J. (2021). Automated text classification of news articles: A practical guide. Political Analysis, 29(1), 19–42. https://doi.org/10.1017/pan.2020.8

[44]Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine Publishing. https://doi.org/10.1097/00006199-196807000-00014

[45]Guest, G., Namey, E. E., & Chen, M. (2020). A simple method to assess and report thematic saturation in qualitative research. PLoS ONE, 15(5), Article e0232076. https://doi.org/10.1371/journal.pone.0232076

[46]VOA News. (2024, February 28). Fact check: Russian military targets African countries with U.S. bioweapons fake. https://www.voanews.com/a/fact-check-russian-military-targets-african-countries-with-u-s-bioweapons-fake-/7687026.html

[47]BBC News. (2022, March 11). Ukraine war: Russia accuses US of biological weapons plan. https://www.bbc.com/news/60711705

[48]EBSCO Research Starters. (2024). Bucha massacre. In Military History and Science. https://www.ebsco.com/research-starters/military-history-and-science/bucha-massacre

[49]Chandrasekhar, C. P. (2022, June 1). Sanctions: Now weapons. Network Ideas. https://www.networkideas.org/2022/06/01/sanctions-now-weapons/

[50]Allport, G. W., & Postman, L. (1947). The psychology of rumor. Henry Holt and Company.

[51]Marcus, G. E., Neuman, W. R., & MacKuen, M. (2000). Affective intelligence and political judgment. University of Chicago Press.