Managing the spread of “disinformation” is becoming an increasingly difficult task of our time, with an emphasis on digital marketing and its influence on organizational reputation. This paper aims to analyze the phenomenon of disinformation, with emphasis on the role of digital marketing and the consequent effect on organizational image. Thus, using the systematic literature review methodology, the study defines and categorizes different types of disinformation, namely fake news, misinformation, and propaganda, and how they are spread across different channels. Using the research, it is possible to conclude that digital marketing is more effective in spreading disinformation than traditional media and word-of-mouth; social media management and content marketing are the most effective. The work also evaluates the catastrophic impact of disinformation on an organization’s image, fiscal health, and the trust of its stakeholders. Using the Chi-Square Test for Independence and Logistic Regression, the study determines the factors likely to lead to severe consequences of disinformation campaigns. Last but not least, the paper also suggests ways of preventing the spread of disinformation, which include improved education on the use of digital platforms, better fact-checking systems, and an improved code of ethics in digital marketing.

1. Aïmeur, E., Amri, S., & Brassard, G. (2023). Fake news, disinformation and misinformation in social media: a review. Social Network Analysis and Mining, 13(1). https://doi.org/10.1007/s13278-023-01028-5
2. Arandas, M. F., Ling, L. Y., & Loh, Y. C. (2021). Media credibility, misinformation, and communication patterns during MCO of COVID-19 in Malaysia. International Journal of Humanities and Social Science, 4(2), 26-40.
3. Arif, A. (2020). Disinformation: A critical appraisal and research agenda. Journal of Management Information Systems, 37(2), 567-601.
4. Aven, T., & Thekdi, S. A. (2022). On how to characterize and confront misinformation in a risk context. Journal of Risk Research, 25, 1272-1287. https://doi.org/10.1007/s13437-022-00280-4
5. Baines, D., & Elliott, R. J. R. (2020). Defining misinformation, disinformation, and malformation: An urgent need for clarity during the COVID-19 infodemic. ResearchGate.
6. Baptista, P., & Gradim, A. (2022). A Working Definition of Fake News. Available online: https://www.semanticscholar.org/paper/A-Working-Definition-of-Fake-News-Baptista-Gradim/9201da23e6994083a7f0899b37334651ac5b65a4 (accessed on 2 June 2023).
7. Bessarabova, E. (2024). Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks. Reliability Engineering & System Safety, 243, 109819. https://doi.org/10.1016/j.ress.2023.109819
8. Büchter, R. B., Weise, A., & Pieper, D. (2020). Development, testing and use of data extraction forms in systematic reviews: a review of methodological guidance. BMC Medical Research Methodology, 20(1). https://doi.org/10.1186/s12874-020-01143-3
9. Chen, C., Fonseca, F., Marcinkowski, M., et al. (2019). Visual analytics in information retrieval: A survey and an agenda for future research. Journal of the Association for Information Science and Technology, 70(10), 1111-1129.
10. Clarke, V., & Braun, V. (2013). Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning. The Psychologist, 26(2), 120-123.
11. Cook, J. (2017). How to Effectively Debunk Myths About Aging and Other Misconceptions. Public Policy & Aging Report, 27, 13–17. https://doi.org/10.1093/ppar%2Fprw034
12. Costa-Sánchez, C., Vizoso, Á., & López-García, X. (2023). Fake news in the post-Covid-19 era? the health disinformation agenda in Spain. Societies, 13(11), 242. https://doi.org/10.3390/soc13110242
13. Del Vicario, M., Bessi, A., Zollo, F., et al. (2015). The spreading of misinformation online. Proceedings of the National Academy of Sciences, 113(3), 554–559. https://doi.org/10.1073/pnas.1517441113
14. Dhiman, B. (2023). The Rise and Impact of Misinformation and Fake News on Digital Youth: A Critical Review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4438362
15. Diaz Ruiz, C. (2023). Disinformation on digital media platforms: A market-shaping approach. New Media & Society. https://doi.org/10.1177/14614448231207644
16. Doob, L. W., & Robinson, E. S. (1935). Psychology and Propaganda. The Annals of the American Academy of Political and Social Science, 179, 88-95. https://doi.org/10.1177/000271623517900112
17. Dudek-Waligóra, G. (2018). Propaganda as a scientific term of Polish polytolinguistics (Polish). Studia z Filologii Polskiej i Słowiańskiej. https://www.doi.org/10.11649/sfps.2018.002
18. Dwivedi, Y. K. (2016). Pay-per-click advertising: A literature review. The Marketing Review, 16, 183-202. https://doi.org/10.1362/146934716X14636478977557
19. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., et al. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
20. Dwivedi, Y. K., Kshetri, N., Hughes, L., et al. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
21. Folkvord, F., Snelting, F., Hartmann, T., et al. (2022). Effect of source type and protective message on the critical evaluation of news messages on facebook: randomized controlled trial in the Netherlands. Journal of Medical Internet Research, 24(3), e27945. https://doi.org/10.2196/27945
22. Gligor, D. M., & Holcomb, M. C. (2019). The impact of supply chain disruptions on firm performance. Journal of Business Logistics, 40(3), 230–245.
23. Greifeneder, R., Jaffe, M., Newman, E., et al. (2020). The Psychology of Fake News. Routledge. https://doi.org/10.4324/9780429295379
24. Guilbeault, D. (2018). Digital Marketing in The Disinformation Age. Journal of International Affairs, 71(1.5), 33–42.
25. Gusenbauer, M. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods, 11(2), 181-217.
26. Harper, L., Herbst, K. W., Bagli, D., et al. (2019). The battle between fake news and science. Journal of pediatric urology. https://doi.org/10.1016/j.jpurol.2019.12.004
27. Hauke, J., McKay, S., Tenove, C., et al. (2020). Disinformation as a threat to financial markets. Journal of Financial Transformation, 51, 101-108.
28. Heer, J., & Shneiderman, B. (2012). Interactive dynamics for visual analysis. ACM Queue, 10(2), 1-29.
29. Hoffer, C. R. (1942). A Sociological Analysis of Propaganda. Social Forces, 20, 445-448. https://doi.org/10.2307/2570877
30. Holmes, L. B., & Westgate, M. N. (2011). Inclusion and exclusion criteria for malformations in newborn infants exposed to potential teratogens. Birth Defects Research Part A: Clinical and Molecular Teratology, 91(9), 807–812. https://doi.org/10.1002/bdra.20842
31. Karlíček, M., Tomek, I., & Krízek, M. (2010). Word-of-Mouth Marketing: An Integrated Model. Available online: http://www.vse.cz/eam/download.php?jnl=eam&pdf=109.pdf (accessed on 2 June 2023).
32. Khan, K. S., Kunz, R., Kleijnen, J., et al. (2003). Five steps to conducting a systematic review. Journal of the Royal Society of Medicine, 96(3), 118-121. https://doi.org/10.1258/jrsm.96.3.1188.
33. Kim, S. (2020). The Crisis of Public Health and Infodemic: Analyzing Belief Structure of Fake News about COVID-19 Pandemic. Sustainability, 12(23), 9904. https://doi.org/10.3390/su12239904
34. Kolambe, K., Nalawade, A., Dhiwar, A., et al. (2021). A Review on Pay-Per-Click Business Model. International Journal of Computer Applications. https://doi.org/10.5120/ijca2021921453
35. Lagodiienko, V., Karyy, O., Ohiienko, M., et al. (2019). Choosing Effective Internet Marketing Tools in Strategic Management. International Journal of Recent Technology and Engineering. https://doi.org/10.35940/ijrte.c5868.098319
36. Ledesma, A., Bidargaddi, N., Strobel, J., et al. (2019). Health timeline: an insight-based study of a timeline visualization of clinical data. BMC Medical Informatics and Decision Making, 19(1). https://doi.org/10.1186/s12911-019-0885-x
37. Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., et al. (2020). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 21(3), 106-131.
38. Li, J. (2020). Toward a Research Agenda on Political Misinformation and Corrective Information. Political Communication, 37, 125-135. https://doi.org/10.1080/10584609.2020.1716499
39. Lim, X. J., Quach, S., Thaichon, P., et al. (2024). Fact or fake: information, misinformation and disinformation via social media. Journal of Strategic Marketing, 32(5), 659–664. https://doi.org/10.1080/0965254X.2024.2306558a
40. Luo, H., Cai, M., Cui, Y. (2003). Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets. Security and Communication Networks, 1–23. https://doi.org/10.1155/2021/7999760
41. Majerczak, P., & Strzelecki, A. (2022). Trust, Media Credibility, Social Ties, and the Intention to Share towards Information Verification in an Age of Fake News. Behavioral Sciences, 12(2), 51. https://doi.org/10.3390/bs12020051
42. McHugh, M. L. (2013). The Chi-square test of independence. Biochemia Medica, 23, 143-149. https://doi.org/10.11613/BM.2013.018
43. Montasari, R. (2024). The Dual Role of Artificial Intelligence in Online Disinformation: A Critical Analysis. In: Cyberspace, Cyberterrorism and the International Security in the Fourth Industrial Revolution. In: Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-50454-9_11
44. Muhammed, T. S., Mathew, S. K. (2022). The disaster of misinformation: a review of research in social media. International Journal of Data Science and Analytics, 13(4), 271–285. https://doi.org/10.1007/s41060-022-00311-6
45. Mukerji, N. (2018). What is Fake News? Ergo, an Open Access Journal of Philosophy. https://doi.org/10.3998/ergo.12405314.0005.035
46. Munn, Z., Stern, C., Aromataris, E., et al. (2018). What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Medical Research Methodology, 18(1). https://doi.org/10.1186/s12874-017-0468-4
47. Muñoz, P., Díez, F. & Bellogín, A. (2024). Modeling disinformation networks on Twitter: structure, behavior, and impact. Applied Network Science, 9(1). https://doi.org/10.1007/s41109-024-00610-w
48. Naeem, M., Ozuem, W., Howell, K., et al. (2023). A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods, 22. https://doi.org/10.1177/16094069231205789
49. Naeem, S. B., & Bhatti, R. (2021). The COVID-19 infodemic: A new front for information professionals. Health Information & Libraries Journal, 38(3), 233-239.
50. Pennycook, G., McPhetres, J., Zhang, Y., et al. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770-780.
51. Rangapur, A., Wang, H., & Shu, K. (2023). Investigating online financial misinformation and its consequences: A computational perspective. arXiv. https://doi.org/10.48550/arXiv.2309.12363
52. Rieh, S. Y., & Hilligoss, B. (2007). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management, 43(2), 460-475.
53. Sarpong, D. (2023). The three pointers of research and development (R&D) for sustainable development in the digital era. Technological Forecasting and Social Change, 166, 120608.
54. Scheufele, D. A. and Krqause, M. N. (2019). Science audiences, misinformation, and fake news. PNAS, 116(16) 7662-7669.
55. Shaheen, N., Shaheen, A., Ramadan, A., et al. (2023). Appraising systematic reviews: a comprehensive guide to ensuring validity and reliability. Frontiers in Research Metrics and Analytics, 8. https://doi.org/10.3389/frma.2023.1268045
56. Shahzad, K., Khan, S. A., Iqbal, A., et al. (2023). Determinants of fake news diffusion on social media: a systematic literature review. Global Knowledge, Memory and Communication. https://doi.org/10.1108/gkmc-06-2023-0189
57. Sharma, A., Bhasin, K., Gulati, P., et al. (2020). Cyberattacks and Security of Cyber-Physical Systems. SSRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.3600709
58. Singh, R., Tiwari, D., & Tiwari, H. (2023). Influencer Marketing: Concepts, Practices, And Strategies: An Overview. EPRA International Journal of Environmental Economics, Commerce and Educational Management. https://doi.org/10.36713/epra14005
59. Southwell, B. G., Brennen, J. S., Paquin, R. S., et al. (2022). Defining and Measuring Scientific Misinformation. The ANNALS of the American Academy of Political and Social Science, 700, 98-111. https://doi.org/10.1177/00027162221084709
60. Srivastava, P., & Hopwood, N. (2009). A Practical Iterative Framework for Qualitative Data Analysis. International Journal of Qualitative Methods, 8(1), 76-84. https://doi.org/10.1177/160940690900800107
61. Swire‐Thompson, B., Lazer, D. (2022). Reducing health misinformation in science: a call to arms. The ANNALS of the American Academy of Political and Social Science, 700(1), 124-135. https://doi.org/10.1177/00027162221087686
62. Tandoc, E., Utz, S., Muscanell, N., et al. (2018). Social media and social capital: Introduction to the special issue. Journal of Computer-Mediated Communication, 23(6), 252-259.
63. Van Raemdonck, N., & Meyer, T. (2024). Why disinformation is here to stay. A socio-technical analysis of disinformation as a hybrid threat. In: Lonardo, L. (editor). Addressing hybrid threats. Edward Elgar Publishing. pp. 57-83. https://doi.org/10.4337/9781802207408.00009
64. Wang, C. C. (2020). Fake News and Related Concepts: Definitions and Recent Research Development. Contemporary Management Research, 16(3), 145–174. https://doi.org/10.7903/cmr.20677
65. West, D. M. (2017). How to combat fake news and disinformation. Brookings.
66. Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971
67. Yorke, D. A. (2015). Word-of-Mouth Communications. Wiley Encyclopedia of Management, 1–1. https://doi.org/10.1002/9781118785317.weom090705
68. Zeng, Q., Ziauddin, Z., Kamal, S., et al. (2004). Association rule mining in the framework of a geographical information system: A case study in public health. Journal of Database Management, 15(4), 1-18.
69. Zhang, J., Choo, J., Liu, S., et al. (2019). Visual analytics for explainable deep learning. IEEE Transactions on Visualization and Computer Graphics, 25(1), 30-44.
70. Zibran, M. F. (2007). CHI-Squared Test of Independence. Available online: https://kera.pw/zot.pdf (accessed on 2 June 2023).
71. Zuluaga-Arias, H., Alkhakany, M., Younus, M. M., et al. (2023). Impact of risk communication on patient’s safety during the pandemic. Therapeutic Advances in Drug Safety, 14, 204209862311597. https://doi.org/10.1177/20420986231159752