These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
131 related articles for article (PubMed ID: 35673078)
1. Latent Linguistic Motifs in Social Media Postings Resisting COVID-19 Misinformation. Singh T; Olivares S; Myneni S Stud Health Technol Inform; 2022 Jun; 290():557-561. PubMed ID: 35673078 [TBL] [Abstract][Full Text] [Related]
2. "Thought I'd Share First" and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study. Gerts D; Shelley CD; Parikh N; Pitts T; Watson Ross C; Fairchild G; Vaquera Chavez NY; Daughton AR JMIR Public Health Surveill; 2021 Apr; 7(4):e26527. PubMed ID: 33764882 [TBL] [Abstract][Full Text] [Related]
3. Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning. Edinger A; Valdez D; Walsh-Buhi E; Trueblood JS; Lorenzo-Luaces L; Rutter LA; Bollen J J Med Internet Res; 2023 Jun; 25():e43841. PubMed ID: 37163694 [TBL] [Abstract][Full Text] [Related]
4. The Challenge of Debunking Health Misinformation in Dynamic Social Media Conversations: Online Randomized Study of Public Masking During COVID-19. Mourali M; Drake C J Med Internet Res; 2022 Mar; 24(3):e34831. PubMed ID: 35156933 [TBL] [Abstract][Full Text] [Related]
5. Unpacking Misinfodemic During a Global Health Crisis: A Qualitative Inquiry of Psychosocial Characteristics in Social Media Interactions. Olivares SM; Myneni S Stud Health Technol Inform; 2022 Jun; 290():962-966. PubMed ID: 35673162 [TBL] [Abstract][Full Text] [Related]
6. Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak. Sell TK; Hosangadi D; Trotochaud M BMC Public Health; 2020 May; 20(1):550. PubMed ID: 32375715 [TBL] [Abstract][Full Text] [Related]
7. Prevalence of Health Misinformation on Social Media-Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review. Kbaier D; Kane A; McJury M; Kenny I J Med Internet Res; 2024 Aug; 26():e38786. PubMed ID: 39159456 [TBL] [Abstract][Full Text] [Related]
8. Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science. Myneni S; Cuccaro P; Montgomery S; Pakanati V; Tang J; Singh T; Dominguez O; Cohen T; Reininger B; Savas LS; Fernandez ME JMIR Infodemiology; 2023; 3():e40156. PubMed ID: 37113378 [TBL] [Abstract][Full Text] [Related]
9. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies. Muric G; Wu Y; Ferrara E JMIR Public Health Surveill; 2021 Nov; 7(11):e30642. PubMed ID: 34653016 [TBL] [Abstract][Full Text] [Related]
10. Misinformation messages shared via WhatsApp in Mexico during the COVID-19 pandemic: an exploratory study. Wirtz VJ; Millán-Garduño G; Hegewisch-Taylor J; Dreser A; Anaya-Sanchez A; González-Vázquez TT; Escalera R; Torres-Pereda P Health Promot Int; 2023 Jun; 38(3):. PubMed ID: 37140349 [TBL] [Abstract][Full Text] [Related]
11. Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study. Akpan IJ; Aguolu OG; Kobara YM; Razavi R; Akpan AA; Shanker M J Med Internet Res; 2021 Sep; 23(9):e28975. PubMed ID: 34280117 [TBL] [Abstract][Full Text] [Related]
12. Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis. Wahbeh A; Nasralah T; Al-Ramahi M; El-Gayar O JMIR Public Health Surveill; 2020 Jun; 6(2):e19276. PubMed ID: 32421686 [TBL] [Abstract][Full Text] [Related]
13. ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection. Hayawi K; Shahriar S; Serhani MA; Taleb I; Mathew SS Public Health; 2022 Feb; 203():23-30. PubMed ID: 35016072 [TBL] [Abstract][Full Text] [Related]
14. Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach. ElSherief M; Sumner SA; Jones CM; Law RK; Kacha-Ochana A; Shieber L; Cordier L; Holton K; De Choudhury M J Med Internet Res; 2021 Dec; 23(12):e30753. PubMed ID: 34941555 [TBL] [Abstract][Full Text] [Related]
15. A Comprehensive Analysis of COVID-19 Misinformation, Public Health Impacts, and Communication Strategies: Scoping Review. Kisa S; Kisa A J Med Internet Res; 2024 Aug; 26():e56931. PubMed ID: 39167790 [TBL] [Abstract][Full Text] [Related]
16. The Role of Influence of Presumed Influence and Anticipated Guilt in Evoking Social Correction of COVID-19 Misinformation. Sun Y; Oktavianus J; Wang S; Lu F Health Commun; 2022 Oct; 37(11):1368-1377. PubMed ID: 33601990 [TBL] [Abstract][Full Text] [Related]
18. Tweeting for Health Using Real-time Mining and Artificial Intelligence-Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Morita PP; Zakir Hussain I; Kaur J; Lotto M; Butt ZA J Med Internet Res; 2023 Jun; 25():e44356. PubMed ID: 37294603 [TBL] [Abstract][Full Text] [Related]
19. Healthcare professionals' acts of correcting health misinformation on social media. Bautista JR; Zhang Y; Gwizdka J Int J Med Inform; 2021 Apr; 148():104375. PubMed ID: 33461008 [TBL] [Abstract][Full Text] [Related]
20. Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media. Argyris YA; Zhang N; Bashyal B; Tan PN 2022 IEEE Int Conf Digit Health IEEE IDCH 2022 (2022); 2022 Jul; 2022():107-116. PubMed ID: 37975063 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]