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.
121 related articles for article (PubMed ID: 38533942)
41. Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis. Jang H; Rempel E; Roe I; Adu P; Carenini G; Janjua NZ J Med Internet Res; 2022 Mar; 24(3):e35016. PubMed ID: 35275835 [TBL] [Abstract][Full Text] [Related]
42. Utilizing Twitter data for analysis of chemotherapy. Zhang L; Hall M; Bastola D Int J Med Inform; 2018 Dec; 120():92-100. PubMed ID: 30409350 [TBL] [Abstract][Full Text] [Related]
43. "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]
44. Using Tweets to Understand How COVID-19-Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study. Wang H; Li Y; Hutch M; Naidech A; Luo Y J Med Internet Res; 2021 Feb; 23(2):e26302. PubMed ID: 33529155 [TBL] [Abstract][Full Text] [Related]
45. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms. Bari A; Heymann M; Cohen RJ; Zhao R; Szabo L; Apas Vasandani S; Khubchandani A; DiLorenzo M; Coffee M Clin Infect Dis; 2022 May; 74(Suppl_3):e4-e9. PubMed ID: 35568473 [TBL] [Abstract][Full Text] [Related]
46. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis. Slavik CE; Buttle C; Sturrock SL; Darlington JC; Yiannakoulias N J Med Internet Res; 2021 Mar; 23(3):e24883. PubMed ID: 33651705 [TBL] [Abstract][Full Text] [Related]
47. Patterns of human and bots behaviour on Twitter conversations about sustainability. Mouronte-López ML; Gómez Sánchez-Seco J; Benito RM Sci Rep; 2024 Feb; 14(1):3223. PubMed ID: 38331929 [TBL] [Abstract][Full Text] [Related]
48. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets. Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215 [TBL] [Abstract][Full Text] [Related]
49. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. Isip Tan IT; Cleofas J; Solano G; Pillejera JG; Catapang JK JMIR Form Res; 2023 Jun; 7():e41134. PubMed ID: 37220196 [TBL] [Abstract][Full Text] [Related]
50. Use of bot and content flags to limit the spread of misinformation among social networks: a behavior and attitude survey. Lanius C; Weber R; MacKenzie WI Soc Netw Anal Min; 2021; 11(1):32. PubMed ID: 33747252 [TBL] [Abstract][Full Text] [Related]
51. Mpox Panic, Infodemic, and Stigmatization of the Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual Community: Geospatial Analysis, Topic Modeling, and Sentiment Analysis of a Large, Multilingual Social Media Database. Movahedi Nia Z; Bragazzi N; Asgary A; Orbinski J; Wu J; Kong J J Med Internet Res; 2023 May; 25():e45108. PubMed ID: 37126377 [TBL] [Abstract][Full Text] [Related]
52. Limited Role of Bots in Spreading Vaccine-Critical Information Among Active Twitter Users in the United States: 2017-2019. Dunn AG; Surian D; Dalmazzo J; Rezazadegan D; Steffens M; Dyda A; Leask J; Coiera E; Dey A; Mandl KD Am J Public Health; 2020 Oct; 110(S3):S319-S325. PubMed ID: 33001719 [No Abstract] [Full Text] [Related]
53. Topical Fluoride Applications Related Posts Analysis on Twitter Using Natural Language Processing. Eliacik BK Oral Health Prev Dent; 2021 Sep; 19():457-464. PubMed ID: 34546013 [TBL] [Abstract][Full Text] [Related]
54. 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]
55. Detection and impact estimation of social bots in the Chilean Twitter network. Mendoza M; Providel E; Santos M; Valenzuela S Sci Rep; 2024 Mar; 14(1):6525. PubMed ID: 38499853 [TBL] [Abstract][Full Text] [Related]
56. Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study. Dunn AG; Leask J; Zhou X; Mandl KD; Coiera E J Med Internet Res; 2015 Jun; 17(6):e144. PubMed ID: 26063290 [TBL] [Abstract][Full Text] [Related]
57. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Ricard BJ; Hassanpour S J Med Internet Res; 2021 Sep; 23(9):e27314. PubMed ID: 34524095 [TBL] [Abstract][Full Text] [Related]
58. Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture? Kendra RL; Karki S; Eickholt JL; Gandy L J Med Internet Res; 2015 Jun; 17(6):e154. PubMed ID: 26091775 [TBL] [Abstract][Full Text] [Related]
59. DNA-influenced automated behavior detection on twitter through relative entropy. Gilmary R; Venkatesan A; Vaiyapuri G; Balamurali D Sci Rep; 2022 May; 12(1):8022. PubMed ID: 35577861 [TBL] [Abstract][Full Text] [Related]
60. Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data. Benson R; Hu M; Chen AT; Nag S; Zhu SH; Conway M JMIR Public Health Surveill; 2020 Sep; 6(3):e19975. PubMed ID: 32876579 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]