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Journal Abstract Search

234 related items for PubMed ID: 38551624

  • 1. #ProtectOurElders: Analysis of Tweets About Older Asian Americans and Anti-Asian Sentiments During the COVID-19 Pandemic.
    Ng R, Indran N.
    J Med Internet Res; 2024 Mar 29; 26():e45864. PubMed ID: 38551624
    [Abstract] [Full Text] [Related]

  • 2. The #StopAsianHate Movement on Twitter: A Qualitative Descriptive Study.
    Cao J, Lee C, Sun W, De Gagne JC.
    Int J Environ Res Public Health; 2022 Mar 22; 19(7):. PubMed ID: 35409440
    [Abstract] [Full Text] [Related]

  • 3. Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19.
    Nguyen TT, Criss S, Dwivedi P, Huang D, Keralis J, Hsu E, Phan L, Nguyen LH, Yardi I, Glymour MM, Allen AM, Chae DH, Gee GC, Nguyen QC.
    Int J Environ Res Public Health; 2020 Sep 25; 17(19):. PubMed ID: 32993005
    [Abstract] [Full Text] [Related]

  • 4. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.
    Chandrasekaran R, Mehta V, Valkunde T, Moustakas E.
    J Med Internet Res; 2020 Oct 23; 22(10):e22624. PubMed ID: 33006937
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  • 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 08; 22(12):e22609. PubMed ID: 33207310
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  • 6. The Resurgence of Cyber Racism During the COVID-19 Pandemic and its Aftereffects: Analysis of Sentiments and Emotions in Tweets.
    Dubey AD.
    JMIR Public Health Surveill; 2020 Oct 15; 6(4):e19833. PubMed ID: 32936772
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  • 8. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.
    Jang H, Rempel E, Roth D, Carenini G, Janjua NZ.
    J Med Internet Res; 2021 Feb 10; 23(2):e25431. PubMed ID: 33497352
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  • 12. 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 21; 22(4):e19016. PubMed ID: 32287039
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  • 13. A 10-Year Social Media Analysis Exploring Hospital Online Support of Black Lives Matter and the Black Community.
    Hswen Y, Thorpe Huerta D, Le-Compte C, Hawkins JB, Brownstein JS.
    JAMA Netw Open; 2021 Oct 01; 4(10):e2126714. PubMed ID: 34652448
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  • 14. Anti-Asian racism related stigma, racial discrimination, and protective factors against stigma: a repeated cross-sectional survey among university students during the COVID-19 pandemic.
    Boden-Albala B, Ding X, Ryan N, Goodman S, Wing J, Runnerstrom MG, Gutierrez D, Gibbs B, Robb JM, Drum E.
    Front Public Health; 2023 Oct 01; 11():958932. PubMed ID: 37771832
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  • 15. From Tweets to Streets: Observational Study on the Association Between Twitter Sentiment and Anti-Asian Hate Crimes in New York City from 2019 to 2022.
    Wei H, Hswen Y, Merchant JS, Drew LB, Nguyen QC, Yue X, Mane H, Nguyen TT.
    J Med Internet Res; 2024 Sep 09; 26():e53050. PubMed ID: 39250221
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  • 16. Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data.
    Lyu JC, Luli GK, Ling PM.
    PLoS One; 2021 Sep 09; 16(12):e0260290. PubMed ID: 34879077
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  • 17. Spatial Distribution of Hateful Tweets Against Asians and Asian Americans During the COVID-19 Pandemic, November 2019 to May 2020.
    Hohl A, Choi M, Yellow Horse AJ, Medina RM, Wan N, Wen M.
    Am J Public Health; 2022 Apr 09; 112(4):646-649. PubMed ID: 35319960
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  • 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 14; 23(7):e28615. PubMed ID: 34081612
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  • 19. 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 12; 25():e41319. PubMed ID: 36877804
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  • 20. Tweets by People With Arthritis During the COVID-19 Pandemic: Content and Sentiment Analysis.
    Berkovic D, Ackerman IN, Briggs AM, Ayton D.
    J Med Internet Res; 2020 Dec 03; 22(12):e24550. PubMed ID: 33170802
    [Abstract] [Full Text] [Related]

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