Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22374, first published .
COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter Data

COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter Data

COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter Data

Journals

  1. Suppan M, Catho G, Robalo Nunes T, Sauvan V, Perez M, Graf C, Pittet D, Harbarth S, Abbas M, Suppan L. A Serious Game Designed to Promote Safe Behaviors Among Health Care Workers During the COVID-19 Pandemic: Development of “Escape COVID-19”. JMIR Serious Games 2020;8(4):e24986 View
  2. 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
  3. Guzmán E, Zhang Z, Ahmed W. Towards understanding a football club’s social media network: an exploratory case study of Manchester United. Information Discovery and Delivery 2021;49(1):71 View
  4. 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
  5. 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
  6. Dennis A, Moravec P, Kim A, Dennis A. Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study. JMIR Public Health and Surveillance 2021;7(4):e25762 View
  7. Raza S, Emenyeonu O, Yousaf M, Iftikhar M. Citizen journalism practices during COVID-19 in spotlight: influence of user-generated contents about economic policies in perceiving government performance. Information Discovery and Delivery 2022;50(2):142 View
  8. Herrera-Peco I, Jiménez-Gómez B, Peña Deudero J, Benitez De Gracia E, Ruiz-Núñez C. Healthcare Professionals’ Role in Social Media Public Health Campaigns: Analysis of Spanish Pro Vaccination Campaign on Twitter. Healthcare 2021;9(6):662 View
  9. Herrera-Peco I, Jiménez-Gómez B, Romero Magdalena C, Deudero J, García-Puente M, Benítez De Gracia E, Ruiz Núñez C. Antivaccine Movement and COVID-19 Negationism: A Content Analysis of Spanish-Written Messages on Twitter. Vaccines 2021;9(6):656 View
  10. Choudrie J, Patil S, Kotecha K, Matta N, Pappas I. Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Information Systems Frontiers 2021;23(6):1431 View
  11. Chadwick S, Fenton A, Dron R, Ahmed W. Social Media Conversations About High Engagement Sports Team Brands. IIM Kozhikode Society & Management Review 2021;10(2):178 View
  12. Nazar S, Pieters T. Plandemic Revisited: A Product of Planned Disinformation Amplifying the COVID-19 “infodemic”. Frontiers in Public Health 2021;9 View
  13. Bok S, Martin D, Lee M. Validation of the COVID-19 Disbelief Scale: Conditional indirect effects of religiosity and COVID-19 fear on intent to vaccinate. Acta Psychologica 2021;219:103382 View
  14. Dow B, Johnson A, Wang C, Whitson J, Menon T. The COVID‐19 pandemic and the search for structure: Social media and conspiracy theories. Social and Personality Psychology Compass 2021;15(9) View
  15. Al-Rawi A, Jamieson K. Characterizing the Gendered Twitter Discussion of COVID-19 Hoax. Health Communication 2023;38(14):3366 View
  16. Erokhin D, Yosipof A, Komendantova N. COVID-19 Conspiracy Theories Discussion on Twitter. Social Media + Society 2022;8(4):205630512211260 View
  17. Caycho-Rodríguez T, Ventura-León J, Valencia P, Vilca L, Carbajal-León C, Reyes-Bossio M, Delgado-Campusano M, Rojas-Jara C, Polanco-Carrasco R, Gallegos M, Cervigni M, Martino P, Palacios D, Moreta-Herrera R, Samaniego-Pinho A, Elías Lobos Rivera M, Figares A, Puerta-Cortés D, Corrales-Reyes I, Calderón R, Tapia B, Arias Gallegos W, Petzold O. Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries. Current Psychology 2024;43(15):14037 View
  18. Bak P, Walter J, Bechmann A. Digital false information at scale in the European Union: Current state of research in various disciplines, and future directions. New Media & Society 2023;25(10):2800 View
  19. Batool S, Ahmed W, Mahmood K, Sharif A. Social network analysis of Twitter data from Pakistan during COVID-19. Information Discovery and Delivery 2022;50(4):353 View
  20. Jiang L, Chu T, Sun M. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis. JMIR Infodemiology 2021;1(1):e25636 View
  21. Bottemanne H. Théories du complot et COVID-19 : comment naissent les croyances complotistes ?. L'Encéphale 2022;48(5):571 View
  22. Himelboim I, Borah P, Lee D, Lee J, Su Y, Vishnevskaya A, Xiao X. What do 5G networks, Bill Gates, Agenda 21, and QAnon have in common? Sources, distribution, and characteristics. New Media & Society 2023:146144482211428 View
  23. Heyerdahl L, Lana B, Giles-Vernick T. The Impact of the Online COVID-19 Infodemic on French Red Cross Actors’ Field Engagement and Protective Behaviors: Mixed Methods Study. JMIR Infodemiology 2021;1(1):e27472 View
  24. Hong Y, Chan H, Douglas K. Conspiracy Theories about Infectious Diseases: An Introduction. Journal of Pacific Rim Psychology 2021;15:183449092110576 View
  25. Giry J. Fake news et théories du complot en période(s) pandémique(s). Quaderni 2022;(106):43 View
  26. Das R, Ahmed W. Rethinking Fake News: Disinformation and Ideology during the time of COVID-19 Global Pandemic. IIM Kozhikode Society & Management Review 2022;11(1):146 View
  27. Fuster-Casanovas A, Das R, Vidal-Alaball J, Lopez Segui F, Ahmed W. The #VaccinesWork Hashtag on Twitter in the Context of the COVID-19 Pandemic: Network Analysis. JMIR Public Health and Surveillance 2022;8(10):e38153 View
  28. Segado-Fernández S, Lozano-Estevan M, Jiménez-Gómez B, Ruiz-Núñez C, Jiménez Hidalgo P, Fernández-Quijano I, González-Rodríguez L, Santillán-García A, Herrera-Peco I. Health Literacy and Critical Lecture as Key Elements to Detect and Reply to Nutrition Misinformation on Social Media: Analysis between Spanish Healthcare Professionals. International Journal of Environmental Research and Public Health 2022;20(1):23 View
  29. Wasike B. Memes, Memes, Everywhere, nor Any Meme to Trust: Examining the Credibility and Persuasiveness of COVID-19-Related Memes. Journal of Computer-Mediated Communication 2022;27(2) View
  30. Bruzzese S, Ahmed W, Blanc S, Brun F. Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter. International Journal of Environmental Research and Public Health 2022;19(22):15012 View
  31. Inoue M, Shimoura K, Nagai-Tanima M, Aoyama T. The Relationship Between Information Sources, Health Literacy, and COVID-19 Knowledge in the COVID-19 Infodemic: Cross-sectional Online Study in Japan. Journal of Medical Internet Research 2022;24(7):e38332 View
  32. Grandinetti J, Bruinsma J. The Affective Algorithms of Conspiracy TikTok. Journal of Broadcasting & Electronic Media 2023;67(3):274 View
  33. Wasike B. When the influencer says jump! How influencer signaling affects engagement with COVID-19 misinformation. Social Science & Medicine 2022;315:115497 View
  34. Magarini F, Pinelli M, Sinisi A, Ferrari S, De Fazio G, Galeazzi G. Irrational Beliefs about COVID-19: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(19):9839 View
  35. Xu Y, Sun Y, Hagen L, Patel M, Falling M. Evolution of the plandemic communication network among serial participants on Twitter. New Media & Society 2023;25(12):3676 View
  36. Xiao X. Let’s verify and rectify! Examining the nuanced influence of risk appraisal and norms in combatting misinformation. New Media & Society 2022:146144482211049 View
  37. Binkheder S, Aldekhyyel R, AlMogbel A, Al-Twairesh N, Alhumaid N, Aldekhyyel S, Jamal A. Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(24):13388 View
  38. Marqués-Sánchez P, Pinto-Carral A, Fernández-Villa T, Vázquez-Casares A, Liébana-Presa C, Benítez-Andrades J. Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach. Scientific Reports 2021;11(1) View
  39. Bok S, Martin D, Acosta E, Lee M, Shum J. Validation of the COVID-19 Transmission Misinformation Scale and Conditional Indirect Negative Effects on Wearing a Mask in Public. International Journal of Environmental Research and Public Health 2021;18(21):11319 View
  40. Dacombe R, Souter N, Westerlund L. Research note: Understanding offline Covid-19 conspiracy theories: A content analysis of The Light “truthpaper”. Harvard Kennedy School Misinformation Review 2021 View
  41. Gomaa B, Walsh-Buhi E, Funk R. Understanding Melanoma Talk on Twitter: The Lessons Learned and Missed Opportunities. International Journal of Environmental Research and Public Health 2022;19(18):11284 View
  42. Ahmed W, Das R, Vidal-Alaball J, Hardey M, Fuster-Casanovas A. Analysing Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory Using Social Network Analysis (Preprint). Journal of Medical Internet Research 2022 View
  43. Weng Z, Lin A. Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;19(24):16376 View
  44. Vargas Meza X, Park H. Information Circulation Among Spanish-Speaking and Caribbean Communities Related to COVID-19: Social Media–Based Multidimensional Analysis. Journal of Medical Internet Research 2023;25:e42669 View
  45. Wasike B. The influencer sent me! Examining how social media influencers affect social media engagement, social self-efficacy, knowledge acquisition, and social interaction. Telematics and Informatics Reports 2023;10:100056 View
  46. Jensen H, Jensen J, Thygesen A, Pedersen M. Digital methods in memory studies: A beginner’s guide to scalable reading of Twitter data. Memory Studies 2023 View
  47. Mettadewi A, Prawira I, Mursitama T, Noerlina , Utama D, Abrori S. Unravelling the Two-Step Flow: A Social Network Analysis of the Indonesia U-20 World Cup Cancellation Discourse. E3S Web of Conferences 2023;426:01097 View
  48. Lai C, Toriumi F, Yoshida M. A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19. Scientific Reports 2023;13(1) View
  49. Chaudhari D, Pawar A. Empowering Propaganda Detection in Resource-Restraint Languages: A Transformer-Based Framework for Classifying Hindi News Articles. Big Data and Cognitive Computing 2023;7(4):175 View
  50. Ahmed W, Aiyenitaju O, Chadwick S, Hardey M, Fenton A. The Influence of Joe Wicks on Physical Activity During the COVID-19 Pandemic: Thematic, Location, and Social Network Analysis of X Data. Journal of Medical Internet Research 2024;26:e49921 View
  51. Suarez-Lledo V, Ortega-Martin E, Carretero-Bravo J, Ramos-Fiol B, Alvarez-Galvez J. Unraveling the use of disinformation hashtags by social bots during the Covid-19 pandemic: a networks analysis and community detection (Preprint). JMIR Infodemiology 2023 View

Books/Policy Documents

  1. Norfarah N, Siti-Nabiha A, Samsudin M. Financial Technology (FinTech), Entrepreneurship, and Business Development. View
  2. . Applied Big Data Analytics and Its Role in COVID-19 Research. View
  3. Godard R, Holtzman S. Research Anthology on Managing Crisis and Risk Communications. View
  4. Olivera-Figueroa L, Bhattacharjee U. Handbook of Media Psychology. View