Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19458, first published .
COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

Journals

  1. Patsali M, Mousa D, Papadopoulou E, Papadopoulou K, Kaparounaki C, Diakogiannis I, Fountoulakis K. University students’ changes in mental health status and determinants of behavior during the COVID-19 lockdown in Greece. Psychiatry Research 2020;292:113298 View
  2. O’Donoghue B, O’Connor K, Thompson A, McGorry P. The need for early intervention for psychosis to persist throughout the COVID-19 pandemic and beyond. Irish Journal of Psychological Medicine 2020:1 View
  3. Islam A, Laato S, Talukder S, Sutinen E. Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective. Technological Forecasting and Social Change 2020;159:120201 View
  4. Deslatte A. The Erosion of Trust During a Global Pandemic and How Public Administrators Should Counter It. The American Review of Public Administration 2020;50(6-7):489 View
  5. Gozzi N, Tizzani M, Starnini M, Ciulla F, Paolotti D, Panisson A, Perra N. Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis. Journal of Medical Internet Research 2020;22(10):e21597 View
  6. Mækelæ M, Reggev N, Dutra N, Tamayo R, Silva-Sobrinho R, Klevjer K, Pfuhl G. Perceived efficacy of COVID-19 restrictions, reactions and their impact on mental health during the early phase of the outbreak in six countries. Royal Society Open Science 2020;7(8):200644 View
  7. Laato S, Islam A, Farooq A, Dhir A. Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services 2020;57:102224 View
  8. Kaya T. The changes in the effects of social media use of Cypriots due to COVID-19 pandemic. Technology in Society 2020;63:101380 View
  9. Jamison A, Broniatowski D, Dredze M, Sangraula A, Smith M, Quinn S. Not just conspiracy theories: Vaccine opponents and proponents add to the COVID-19 ‘infodemic’ on Twitter. Harvard Kennedy School Misinformation Review 2020 View
  10. Lin Y, Hu Z, Alias H, Wong L. Influence of Mass and Social Media on Psychobehavioral Responses Among Medical Students During the Downward Trend of COVID-19 in Fujian, China: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(7):e19982 View
  11. Puri N, Coomes E, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics 2020;16(11):2586 View
  12. Goerlandt F, Li J, Reniers G. The Landscape of Risk Communication Research: A Scientometric Analysis. International Journal of Environmental Research and Public Health 2020;17(9):3255 View
  13. Ahmed W, Jagsi R, Gutheil T, Katz M. Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(9):e19746 View
  14. Chen L, Chang K, Chung H. A Novel Statistic-Based Corpus Machine Processing Approach to Refine a Big Textual Data: An ESP Case of COVID-19 News Reports. Applied Sciences 2020;10(16):5505 View
  15. Sakib M, Butt Z, Morita P, Oremus M, Fong G, Hall P. Considerations for an Individual-Level Population Notification System for Pandemic Response: A Review and Prototype. Journal of Medical Internet Research 2020;22(6):e19930 View
  16. Ahmed W, López Seguí F, Vidal-Alaball J, Katz M. COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter Data. Journal of Medical Internet Research 2020;22(10):e22374 View
  17. Pobiruchin M, Zowalla R, Wiesner M. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study. Journal of Medical Internet Research 2020;22(8):e19629 View
  18. Aleixandre-Benavent R, Castelló-Cogollos L, Valderrama-Zurián J. Información y comunicación durante los primeros meses de Covid-19. Cronología, infodemia y desinformación, noticias falsas, investigaciones en curso y papel de los especialistas en información. El profesional de la información 2020 View
  19. Al-Rawi A, Shukla V. Bots as Active News Promoters: A Digital Analysis of COVID-19 Tweets. Information 2020;11(10):461 View
  20. Li Y, Twersky S, Ignace K, Zhao M, Purandare R, Bennett-Jones B, Weaver S. Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak. International Journal of Environmental Research and Public Health 2020;17(18):6847 View
  21. Latkin C, Dayton L, Moran M, Strickland J, Collins K. Behavioral and psychosocial factors associated with COVID-19 skepticism in the United States. Current Psychology 2021 View
  22. Chen K, Chen A, Zhang J, Meng J, Shen C. Conspiracy and debunking narratives about COVID-19 origins on Chinese social media: How it started and who is to blame. Harvard Kennedy School Misinformation Review 2020 View
  23. Su Y, Lee D, Xiao X, Li W, Shu W. Who endorses conspiracy theories? A moderated mediation model of Chinese and international social media use, media skepticism, need for cognition, and COVID-19 conspiracy theory endorsement in China. Computers in Human Behavior 2021;120:106760 View
  24. Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85 View
  25. Basile V, Cauteruccio F, Terracina G. How Dramatic Events Can Affect Emotionality in Social Posting: The Impact of COVID-19 on Reddit. Future Internet 2021;13(2):29 View
  26. Förstl H. Die COVID-19-Verschwörung in Theorie und Praxis. DMW - Deutsche Medizinische Wochenschrift 2020;145(25):1870 View
  27. Badell-Grau R, Cuff J, Kelly B, Waller-Evans H, Lloyd-Evans E. Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e19791 View
  28. Nsoesie E, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. Journal of Medical Internet Research 2020;22(12):e24425 View
  29. Shahsavari S, Holur P, Wang T, Tangherlini T, Roychowdhury V. Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science 2020;3(2):279 View
  30. Gil S. Could vaccine hesitancy prolong the pandemic?. Journal of Science & Popular Culture 2020;3(2):125 View
  31. Daube D, Ruhrmann G. Einführung zur Qualität von Medizinjournalismus und erste Einschätzungen zur COVID-19-Berichterstattung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(1):3 View
  32. Osbourne R, Clark S. Should the SARS-CoV-2 vaccine be mandatory for nurses? An ethical debate. British Journal of Nursing 2021;30(2):116 View
  33. Kausar S, Tahir B, Mehmood M. ProSOUL: A Framework to Identify Propaganda From Online Urdu Content. IEEE Access 2020;8:186039 View
  34. Preti E, Di Pierro R, Fanti E, Madeddu F, Calati R. Personality Disorders in Time of Pandemic. Current Psychiatry Reports 2020;22(12) View
  35. Olaniyan O, Adetunji C, Okotie G, Adeyomoye O, Anani O, Mali P. Impact of COVID-19 on assisted reproductive technologies and its multifacet influence on global bioeconomy. Journal of Reproductive Healthcare and Medicine 2021;2:92 View
  36. Wormuth B, Wang S, Dehghanian P, Barati M, Estebsari A, Filomena T, Kapourchali M, Lejeune M. Electric Power Grids Under High-Absenteeism Pandemics: History, Context, Response, and Opportunities. IEEE Access 2020;8:215727 View
  37. Mannion R, Speed E. Populism, pestilence and plague in the time of coronavirus. International Journal of Human Rights in Healthcare 2021;14(2):175 View
  38. Kamiński M, Szymańska C, Nowak J. Whose Tweets on COVID-19 Gain the Most Attention: Celebrities, Political, or Scientific Authorities?. Cyberpsychology, Behavior, and Social Networking 2021;24(2):123 View
  39. Durand-Moreau Q. Les médecins du travail doivent être plus visibles sur Twitter. Archives des Maladies Professionnelles et de l'Environnement 2020;81(6):757 View
  40. Siriwardhana Y, De Alwis C, Gur G, Ylianttila M, Liyanage M. The Fight Against the COVID-19 Pandemic With 5G Technologies. IEEE Engineering Management Review 2020;48(3):72 View
  41. Alshalan R, Al-Khalifa H, Alsaeed D, Al-Baity H, Alshalan S. Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach. Journal of Medical Internet Research 2020;22(12):e22609 View
  42. Singh L, Bode L, Budak C, Kawintiranon K, Padden C, Vraga E. Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams. Journal of Computational Social Science 2020;3(2):343 View
  43. Geronikolou S, Chrousos G. COVID-19–Induced Fear in Infoveillance Studies: Pilot Meta-analysis Study of Preliminary Results. JMIR Formative Research 2021;5(2):e21156 View
  44. Su Y. It doesn’t take a village to fall for misinformation: Social media use, discussion heterogeneity preference, worry of the virus, faith in scientists, and COVID-19-related misinformation beliefs. Telematics and Informatics 2021;58:101547 View
  45. Silverstein M, Mekawi Y, Alonzi S, La Torre A. Psychometric properties of the assessment of COVID‐19 attitudes and behaviors. Analyses of Social Issues and Public Policy 2021 View
  46. Xue J, Chen J, Hu R, Chen C, Zheng C, Su Y, Zhu T. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach. Journal of Medical Internet Research 2020;22(11):e20550 View
  47. Kearney M, Chiang S, Massey P. The Twitter origins and evolution of the COVID-19 “plandemic” conspiracy theory. Harvard Kennedy School Misinformation Review 2020 View
  48. Sallam M, Dababseh D, Eid H, Al-Mahzoum K, Al-Haidar A, Taim D, Yaseen A, Ababneh N, Bakri F, Mahafzah A. High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries. Vaccines 2021;9(1):42 View
  49. Sallam M, Dababseh D, Yaseen A, Al-Haidar A, Taim D, Eid H, Ababneh N, Bakri F, Mahafzah A, Osório F. COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan. PLOS ONE 2020;15(12):e0243264 View
  50. Mbunge E, Akinnuwesi B, Fashoto S, Metfula A, Mashwama P. A critical review of emerging technologies for tackling COVID ‐19 pandemic. Human Behavior and Emerging Technologies 2021;3(1):25 View
  51. Maynard A. How to Succeed as an Academic on YouTube. Frontiers in Communication 2021;5 View
  52. Iorfa S, Ottu I, Oguntayo R, Ayandele O, Kolawole S, Gandi J, Dangiwa A, Olapegba P. COVID-19 Knowledge, Risk Perception, and Precautionary Behavior Among Nigerians: A Moderated Mediation Approach. Frontiers in Psychology 2020;11 View
  53. Agley J, Xiao Y. Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science. BMC Public Health 2021;21(1) View
  54. Fountoulakis K, Apostolidou M, Atsiova M, Filippidou A, Florou A, Gousiou D, Katsara A, Mantzari S, Padouva-Markoulaki M, Papatriantafyllou E, Sacharidi P, Tonia A, Tsagalidou E, Zymara V, Prezerakos P, Koupidis S, Fountoulakis N, Chrousos G. Self-reported changes in anxiety, depression and suicidality during the COVID-19 lockdown in Greece. Journal of Affective Disorders 2021;279:624 View
  55. Ahmed W, Vidal-Alaball J, Lopez Segui F, Moreno-Sánchez P. A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020;17(21):8235 View
  56. Greenspan R, Loftus E. Pandemics and infodemics: Research on the effects of misinformation on memory. Human Behavior and Emerging Technologies 2021;3(1):8 View
  57. Stein R, Ometa O, Pachtman Shetty S, Katz A, Popitiu M, Brotherton R. Conspiracy theories in the era of COVID‐19: A tale of two pandemics. International Journal of Clinical Practice 2021;75(2) View
  58. Abubakar A, Omeke K, Ozturk M, Hussain S, Imran M. The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook. Frontiers in Communications and Networks 2020;1 View
  59. Edwards A, Webb H, Housley W, Beneito-Montagut R, Procter R, Jirotka M. Forecasting the governance of harmful social media communications: findings from the digital wildfire policy Delphi. Policing and Society 2021;31(1):1 View
  60. Sjölander-Lindqvist A, Larsson S, Fava N, Gillberg N, Marcianò C, Cinque S. Communicating About COVID-19 in Four European Countries: Similarities and Differences in National Discourses in Germany, Italy, Spain, and Sweden. Frontiers in Communication 2020;5 View
  61. Siriwardhana Y, Gür G, Ylianttila M, Liyanage M. The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges. ICT Express 2021;7(2):244 View
  62. Batool S, Ahmed W, Mahmood K, Saeed H. Twitter dialogue: an analysis of Pakistani politicians’ information sharing. Information Discovery and Delivery 2021;ahead-of-print(ahead-of-print) View
  63. Lor P, Wiles B, Britz J. Re-thinking Information Ethics: Truth, Conspiracy Theories, and Librarians in the COVID-19 Era. Libri 2021;71(1):1 View
  64. Pang P, Cai Q, Jiang W, Chan K. Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao. International Journal of Environmental Research and Public Health 2021;18(7):3508 View
  65. Montagni I, Ouazzani-Touhami K, Mebarki A, Texier N, Schück S, Tzourio C. Acceptance of a Covid-19 vaccine is associated with ability to detect fake news and health literacy. Journal of Public Health 2021 View
  66. Tukachinsky Forster R, Vendemia M. Effects of News and Threat Perceptions on Americans’ COVID-19 Precautionary Behaviors. Communication Reports 2021;34(2):65 View
  67. Slavik C, Buttle C, Sturrock S, Darlington J, Yiannakoulias N. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis. Journal of Medical Internet Research 2021;23(3):e24883 View
  68. Suppan M, Abbas M, Catho G, Stuby L, Regard S, Achab S, Harbarth S, Suppan L. Impact of a Serious Game (Escape COVID-19) on the Intention to Change COVID-19 Control Practices Among Employees of Long-term Care Facilities: Web-Based Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(3):e27443 View
  69. Pivetti M, Melotti G, Bonomo M, Hakoköngäs E. Conspiracy Beliefs and Acceptance of COVID-Vaccine: An Exploratory Study in Italy. Social Sciences 2021;10(3):108 View
  70. Yang M, Han C. Revealing industry challenge and business response to Covid-19: a text mining approach. International Journal of Contemporary Hospitality Management 2021;33(4):1230 View
  71. Lamsal R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence 2020 View
  72. Gamsızkan Z, Sungur M, Erdemir G. How do older age, gender and risk groups affect protective behaviours and mental health in the COVID‐19 pandemic?. International Journal of Clinical Practice 2021;75(6) View
  73. Romer D, Jamieson K. Patterns of Media Use, Strength of Belief in COVID-19 Conspiracy Theories, and the Prevention of COVID-19 From March to July 2020 in the United States: Survey Study. Journal of Medical Internet Research 2021;23(4):e25215 View
  74. Park S, Han S, Kim J, Molaie M, Vu H, Singh K, Han J, Lee W, Cha M. COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication. Journal of Medical Internet Research 2021;23(3):e23272 View
  75. Kwok S, Vadde S, Wang G. Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis. Journal of Medical Internet Research 2021;23(5):e26953 View
  76. Schück S, Foulquié P, Mebarki A, Faviez C, Khadhar M, Texier N, Katsahian S, Burgun A, Chen X. Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling. JMIR Formative Research 2021;5(4):e23593 View
  77. Abdulmuhsin A, Değirmenci B, Efendi̇oğlu İ, Durmaz Y. The perception of COVID-19 and avoidance behavior in Turkey: the role of income level, gender and education. International Journal of Emerging Markets 2021;ahead-of-print(ahead-of-print) View
  78. Thelwall M, Kousha K, Thelwall S. Covid-19 vaccine hesitancy on English-language Twitter. El profesional de la información 2021 View
  79. Su Y, Venkat A, Yadav Y, Puglisi L, Fodeh S. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. Computers in Biology and Medicine 2021;132:104336 View
  80. Gerts D, Shelley C, Parikh N, Pitts T, Watson Ross C, Fairchild G, Vaquera Chavez N, Daughton A. “Thought I’d Share First” and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study. JMIR Public Health and Surveillance 2021;7(4):e26527 View
  81. Long V, Koh W, Saw Y, Liu J. Vulnerability to rumours during the COVID-19 pandemic in Singapore. Annals of the Academy of Medicine, Singapore 2021;50(3):232 View
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  85. Miller M, Romine W, Oroszi T. Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events. JMIR Public Health and Surveillance 2021;7(6):e27976 View
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Books/Policy Documents

  1. Ahmed W, Bath P, Sbaffi L, Demartini G. Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. View
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  8. Vally Z. Mental Health Effects of COVID-19. View
  9. Garcia E, Vale B, Vale R. Collapsing Gracefully: Making a Built Environment that is Fit for the Future. View