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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 36267468)

  • 1. Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News.
    Oliveira L; Azevedo J
    SN Comput Sci; 2023; 4(1):11. PubMed ID: 36267468
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities.
    Nguyen TT; Yu W; Merchant JS; Criss S; Kennedy CJ; Mane H; Gowda KN; Kim M; Belani R; Blanco CF; Kalachagari M; Yue X; Volpe VV; Allen AM; Hswen Y; Nguyen QC
    Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833925
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Moralized language predicts hate speech on social media.
    Solovev K; Pröllochs N
    PNAS Nexus; 2023 Jan; 2(1):pgac281. PubMed ID: 36712927
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. On the rise of fear speech in online social media.
    Saha P; Garimella K; Kalyan NK; Pandey SK; Meher PM; Mathew B; Mukherjee A
    Proc Natl Acad Sci U S A; 2023 Mar; 120(11):e2212270120. PubMed ID: 36877833
    [TBL] [Abstract][Full Text] [Related]  

  • 6. COVID-19 mass media coverage in English and public reactions: a West-East comparison
    Pratama AR; Firmansyah FM
    PeerJ Comput Sci; 2022; 8():e1111. PubMed ID: 36262131
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of fake news and hate speech for Ethiopian languages: a systematic review of the approaches.
    Demilie WB; Salau AO
    J Big Data; 2022; 9(1):66. PubMed ID: 35607418
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19.
    Agarwal S; Chowdary CR
    Expert Syst Appl; 2021 Dec; 185():115632. PubMed ID: 36567759
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hate Speech, Emotions, and Gender Identities: A Study of Social Narratives on Twitter with Trainee Teachers.
    Ortega-Sánchez D; Blanch JP; Quintana JI; Cal ES; de la Fuente-Anuncibay R
    Int J Environ Res Public Health; 2021 Apr; 18(8):. PubMed ID: 33921402
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts.
    Bashar MA; Nayak R; Luong K; Balasubramaniam T
    Soc Netw Anal Min; 2021; 11(1):69. PubMed ID: 34341673
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stigmatization in social media: Documenting and analyzing hate speech for COVID-19 on Twitter.
    Fan L; Yu H; Yin Z
    Proc Assoc Inf Sci Technol; 2020; 57(1):e313. PubMed ID: 33173820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A curated dataset for hate speech detection on social media text.
    Mody D; Huang Y; Alves de Oliveira TE
    Data Brief; 2023 Feb; 46():108832. PubMed ID: 36605500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Emotionally Informed Hate Speech Detection: A Multi-target Perspective.
    Chiril P; Pamungkas EW; Benamara F; Moriceau V; Patti V
    Cognit Comput; 2022; 14(1):322-352. PubMed ID: 34221180
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Facebook Users' Interactions, Organic Reach, and Engagement in a Smoking Cessation Intervention: Content Analysis.
    Pócs D; Adamovits O; Watti J; Kovács R; Kelemen O
    J Med Internet Res; 2021 Jun; 23(6):e27853. PubMed ID: 34152280
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characterization and Comparison of the Utilization of Facebook Groups Between Public Medical Professionals and Technical Communities to Facilitate Idea Sharing and Crowdsourcing During the COVID-19 Pandemic: Cross-sectional Observational Study.
    Xun H; He W; Chen J; Sylvester S; Lerman SF; Caffrey J
    JMIR Form Res; 2021 Apr; 5(4):e22983. PubMed ID: 33878013
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Social Media Use by Young People Living in Conflict-Affected Regions of Myanmar.
    Ridout B; McKay M; Amon K; Campbell A; Wiskin AJ; Seng Du PML; Mar T; Nilsen A
    Cyberpsychol Behav Soc Netw; 2020 Dec; 23(12):876-888. PubMed ID: 33326325
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines.
    Uyheng J; Carley KM
    J Comput Soc Sci; 2020; 3(2):445-468. PubMed ID: 33102925
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Offline events and online hate.
    Lupu Y; Sear R; Velásquez N; Leahy R; Restrepo NJ; Goldberg B; Johnson NF
    PLoS One; 2023; 18(1):e0278511. PubMed ID: 36696388
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dismissals for Social Media Hate Speech in South Africa: Animalistic Dehumanisation and the Circulation of Racist Words and Images.
    Cornish R; Tranter K
    Int J Semiot Law; 2022; 35(6):2267-2301. PubMed ID: 36338292
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hate speech detection and racial bias mitigation in social media based on BERT model.
    Mozafari M; Farahbakhsh R; Crespi N
    PLoS One; 2020; 15(8):e0237861. PubMed ID: 32853205
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.