285 related articles for article (PubMed ID: 35512274)
1. An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach.
Sauvayre R; Vernier J; Chauvière C
JMIR Med Inform; 2022 May; 10(5):e37831. PubMed ID: 35512274
[TBL] [Abstract][Full Text] [Related]
2. Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling.
Ljajić A; Prodanović N; Medvecki D; Bašaragin B; Mitrović J
J Med Internet Res; 2022 Nov; 24(11):e42261. PubMed ID: 36301673
[TBL] [Abstract][Full Text] [Related]
3. Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model.
Cheatham S; Kummervold PE; Parisi L; Lanfranchi B; Croci I; Comunello F; Rota MC; Filia A; Tozzi AE; Rizzo C; Gesualdo F
Front Public Health; 2022; 10():948880. PubMed ID: 35968436
[TBL] [Abstract][Full Text] [Related]
4. Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts.
Lindelöf G; Aledavood T; Keller B
J Med Internet Res; 2023 Apr; 25():e41319. PubMed ID: 36877804
[TBL] [Abstract][Full Text] [Related]
5. Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.
Alshalan R; Al-Khalifa H; Alsaeed D; Al-Baity H; Alshalan S
J Med Internet Res; 2020 Dec; 22(12):e22609. PubMed ID: 33207310
[TBL] [Abstract][Full Text] [Related]
6. "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]
7. Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach.
Metzler H; Baginski H; Niederkrotenthaler T; Garcia D
J Med Internet Res; 2022 Aug; 24(8):e34705. PubMed ID: 35976193
[TBL] [Abstract][Full Text] [Related]
8. Analyzing COVID-19 disinformation on Twitter using the hashtags #scamdemic and #plandemic: Retrospective study.
Lanier HD; Diaz MI; Saleh SN; Lehmann CU; Medford RJ
PLoS One; 2022; 17(6):e0268409. PubMed ID: 35731785
[TBL] [Abstract][Full Text] [Related]
9. Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study.
Alsudias L; Rayson P
JMIR Med Inform; 2021 Sep; 9(9):e27670. PubMed ID: 34346892
[TBL] [Abstract][Full Text] [Related]
10. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.
Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC
J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Fight Against the Mandatory COVID-19 Immunity Passport on Twitter: Natural Language Processing Study.
Gable JSM; Sauvayre R; Chauvière C
J Med Internet Res; 2023 Nov; 25():e49435. PubMed ID: 37850906
[TBL] [Abstract][Full Text] [Related]
13. Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study.
Boucher JC; Cornelson K; Benham JL; Fullerton MM; Tang T; Constantinescu C; Mourali M; Oxoby RJ; Marshall DA; Hemmati H; Badami A; Hu J; Lang R
JMIR Infodemiology; 2021; 1(1):e28800. PubMed ID: 34447924
[TBL] [Abstract][Full Text] [Related]
14. Vaccine Hesitancy and Anti-Vaccination Attitudes during the Start of COVID-19 Vaccination Program: A Content Analysis on Twitter Data.
Küçükali H; Ataç Ö; Palteki AS; Tokaç AZ; Hayran O
Vaccines (Basel); 2022 Jan; 10(2):. PubMed ID: 35214620
[TBL] [Abstract][Full Text] [Related]
15. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
[TBL] [Abstract][Full Text] [Related]
16. 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.
Pobiruchin M; Zowalla R; Wiesner M
J Med Internet Res; 2020 Aug; 22(8):e19629. PubMed ID: 32790641
[TBL] [Abstract][Full Text] [Related]
17. Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis.
Roe C; Lowe M; Williams B; Miller C
Int J Environ Res Public Health; 2021 Dec; 18(24):. PubMed ID: 34948638
[TBL] [Abstract][Full Text] [Related]
18. Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study.
Margus C; Brown N; Hertelendy AJ; Safferman MR; Hart A; Ciottone GR
J Med Internet Res; 2021 Jul; 23(7):e28615. PubMed ID: 34081612
[TBL] [Abstract][Full Text] [Related]
19. Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid.
Yang YC; Al-Garadi MA; Bremer W; Zhu JM; Grande D; Sarker A
J Med Internet Res; 2021 May; 23(5):e26616. PubMed ID: 33938807
[TBL] [Abstract][Full Text] [Related]
20. Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets.
Sigalo N; St Jean B; Frias-Martinez V
JMIR Public Health Surveill; 2022 Jul; 8(7):e34285. PubMed ID: 35788108
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
