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 *

193 related articles for article (PubMed ID: 35311684)

  • 1. Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content.
    Sidani JE; Hoffman B; Colditz JB; Wolynn R; Hsiao L; Chu KH; Rose JJ; Shensa A; Davis E; Primack B
    JMIR Form Res; 2022 Apr; 6(4):e26335. PubMed ID: 35311684
    [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. E-Cigarette-Related Nicotine Misinformation on Social Media.
    Sidani JE; Hoffman BL; Colditz JB; Melcher E; Taneja SB; Shensa A; Primack B; Davis E; Chu KH
    Subst Use Misuse; 2022; 57(4):588-594. PubMed ID: 35068338
    [No Abstract]   [Full Text] [Related]  

  • 4. Twitter Misinformation Discourses About Vaping: Systematic Content Analysis.
    Al-Rawi A; Blackwell B; Zemenchik K; Lee K
    J Med Internet Res; 2023 Nov; 25():e49416. PubMed ID: 37948118
    [TBL] [Abstract][Full Text] [Related]  

  • 5. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.
    Ahmed W; Vidal-Alaball J; Downing J; López Seguí F
    J Med Internet Res; 2020 May; 22(5):e19458. PubMed ID: 32352383
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA.
    Hassan L; Elkaref M; de Mel G; Bogdanovica I; Nenadic G
    Healthc Anal (N Y); 2022 Nov; 2():None. PubMed ID: 36605918
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations.
    Ginossar T; Cruickshank IJ; Zheleva E; Sulskis J; Berger-Wolf T
    Hum Vaccin Immunother; 2022 Dec; 18(1):1-13. PubMed ID: 35061560
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak.
    Kasson E; Singh AK; Huang M; Wu D; Cavazos-Rehg P
    Int J Med Inform; 2021 Nov; 155():104574. PubMed ID: 34592539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis.
    Al-Rawi A; Fakida A; Grounds K
    JMIR Infodemiology; 2022; 2(2):e37007. PubMed ID: 35915823
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Influence of Provaping "Gatewatchers" on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic.
    Silver N; Kierstead E; Kostygina G; Tran H; Briggs J; Emery S; Schillo B
    J Med Internet Res; 2022 Sep; 24(9):e40331. PubMed ID: 36070451
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis.
    Jiang LC; Chu TH; Sun M
    JMIR Infodemiology; 2021; 1(1):e25636. PubMed ID: 34604707
    [TBL] [Abstract][Full Text] [Related]  

  • 13. E-Cigarette Advocates on Twitter: Content Analysis of Vaping-Related Tweets.
    McCausland K; Maycock B; Leaver T; Wolf K; Freeman B; Jancey J
    JMIR Public Health Surveill; 2020 Oct; 6(4):e17543. PubMed ID: 33052130
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter.
    Kouzy R; Abi Jaoude J; Kraitem A; El Alam MB; Karam B; Adib E; Zarka J; Traboulsi C; Akl EW; Baddour K
    Cureus; 2020 Mar; 12(3):e7255. PubMed ID: 32292669
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Viewer Reactions to EVALI Storylines on Popular Medical Dramas: A Thematic Analysis of Twitter Messages.
    Hoffman BL; Wolynn R; Barrett E; Manganello JA; Felter EM; Sidani JE; Miller E; Burke JG; Primack BA; Chu KH
    J Health Commun; 2023 May; 28(5):282-291. PubMed ID: 37057592
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. GMO discussion on Twitter.
    Erokhin D; Komendantova N
    GM Crops Food; 2023 Dec; 14(1):1-13. PubMed ID: 37526069
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study.
    Calac AJ; Haupt MR; Li Z; Mackey T
    JMIR Infodemiology; 2022; 2(1):e33587. PubMed ID: 35320982
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Content and trend analysis of user-generated nicotine sickness tweets: A retrospective infoveillance study.
    Purushothaman V; McMann TJ; Li Z; Cuomo RE; Mackey TK
    Tob Induc Dis; 2022; 20():30. PubMed ID: 35529325
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.