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Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube
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References

  • 2018quanteda: An R package for the quantitative analysis of textual data1,342 cited
  • 2014Healthcare information on YouTube: A systematic review1,290 cited
  • 2018Addressing Health-Related Misinformation on Social Media941 cited
  • 2018Dissemination of Misinformative and Biased Information about Prostate Cancer on YouTube358 cited
  • 2011Inventing Conflicts of Interest: A History of Tobacco Industry Tactics215 cited
  • 2019Digital inequalities in the Internet of Things: differences in attitudes, material access, skills, and usage165 cited
  • 2017How alcohol industry organisations mislead the public about alcohol and cancer151 cited
  • 2018Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets122 cited
  • 2017Is Cancer Information Exchanged on Social Media Scientifically Accurate?119 cited
  • 2001The explanatory models of mental health amongst low-income women and health care practitioners in Lusaka, Zambia116 cited
  • 2011YouTube Videos as a Teaching Tool and Patient Resource for Infantile Spasms114 cited
  • 2010Making Sense of Cancer News Coverage Trends: A Comparison of Three Comprehensive Content Analyses105 cited
  • 2017The ‘who’ and ‘what’ of #diabetes on Twitter44 cited
  • 2016The Source and Credibility of Colorectal Cancer Information on Twitter

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39 cited
  • 2019Computational Contributions: A Symbiotic Approach to Integrating Big, Observational Data Studies into the Communication Field26 cited
  • 2000Describing an Explanatory Model of HIV Illness among Aboriginal Women19 cited
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