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Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study
16 references·4 citing·50 second hop
Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study (2021)Understanding the Public Discussion About…A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration (2021)A Large-Scale COVID-19 Twitte…World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis (2020)World leaders’ usage of Twitt…Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study (2020)Top Concerns of Tweeters Duri…The Role of News Consumption and Trust in Public Health Leadership in Shaping COVID-19 Knowledge and Prejudice (2020)The Role of News Consumption …Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison (2020)Measuring the Outreach Effort…Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends (2020)Global Sentiments Surrounding…Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data (2020)Creating COVID-19 Stigma by R…Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea (2020)Conversations and Medical New…Zika virus pandemic—analysis of Facebook as a social media health information platform (2016)Zika virus pandemic—analysis …Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat (2016)Identifying the public's conc…Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat (2015)Detecting themes of public co…How young Chinese depend on the media during public health crises? A comparative perspective (2012)How young Chinese depend on t…Public Health Response to Influenza A(H1N1) as an Opportunity to Build Public Trust (2010)Public Health Response to Inf…Risk Communication for Public Health Emergencies (2007)Risk Communication for Public…Communicating through Crisis (1994)Communicating through CrisisCanaries in the Coal Mine (1994)Canaries in the Coal MineIPSO-LSTM hybrid model for predicting online public opinion trends in emergencies (2023)IPSO-LSTM hybrid model for pr…We versus me: Indirect conditional effects of collectivism on COVID-19 public policy hypocrisy (2021)We versus me: Indirect condit…The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis (2021)The Spread of COVID-19 Crisis…Research Trends Analysis in Educational Journal Publications on Covid19 Using Descriptive and Text Mining Methods :Preliminary Analysis (2021)Research Trends Analysis in E…Mail and Telephone Surveys: The Total Design Method. 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(1993)Standards for Reporting Qualitative Research (2014)Leveraging media and health communication strategies to overcome the COVID-19 infodemic (2020)The dangers of distrustful complacency: Low concern and low political trust combine to undermine compliance with governmental restrictions in the emerging Covid-19 pandemic (2020)COVID-19-related misinformation on social media: a systematic review (2021)Stigma: Notes on the Management of Spoiled Identity. (1964)Social Media: A Review and Tutorial of Applications in Medicine and Health Care (2014)Ten considerations for effectively managing the COVID-19 transition (2020)The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic (2020)Vicarious Racism and Vigilance During the COVID-19 Pandemic: Mental Health Implications Among Asian and Black Americans (2021)The case for structuring the discussion of scientific papers (1999)The Effects of News Frames on Readers' Thoughts and Recall (1999)Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis (2020)Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags (2020)RETRACTED: COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media (2021)Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China (2020)Living Alone During COVID-19: Social Contact and Emotional Well-being Among Older Adults (2020)Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science (2020)Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter (2020)Using social and behavioural science to support COVID-19 pandemic response (2020)The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis (2021)Misinformation, manipulation, and abuse on social media in the era of COVID-19 (2020)Public risk perception and emotion on Twitter during the Covid-19 pandemic (2020)Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study (2021)Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021 (2021)Public Health and Online Misinformation: Challenges and Recommendations (2019)Systematic Literature Review on the Spread of Health-related Misinformation on Social Media (2019)Understanding Conspiracy Theories (2019)
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References

  • 2020Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study774 cited
  • 2007Risk Communication for Public Health Emergencies732 cited
  • 2020Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends442 cited
  • 2016Zika virus pandemic—analysis of Facebook as a social media health information platform425 cited
  • 1994Communicating through Crisis392 cited
  • 2020World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis307 cited
  • 2021A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration291 cited
  • 2020Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data280 cited
  • 2020Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea252 cited
  • 1994Canaries in the Coal Mine177 cited
  • 2020Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison166 cited
  • 2015Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat165 cited
  • 2010Public Health Response to Influenza A(H1N1) as an Opportunity to Build Public Trust138 cited

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2016
Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat
100 cited
  • 2020The Role of News Consumption and Trust in Public Health Leadership in Shaping COVID-19 Knowledge and Prejudice88 cited
  • 2012How young Chinese depend on the media during public health crises? A comparative perspective65 cited
  • Cited by

    • 2021The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis26 cited
    • 2023IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies21 cited
    • 2021We versus me: Indirect conditional effects of collectivism on COVID-19 public policy hypocrisy14 cited
    • 2021Research Trends Analysis in Educational Journal Publications on Covid19 Using Descriptive and Text Mining Methods :Preliminary Analysis1 cited