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Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study
16 references·4 citing·53 second hop
Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study (2018)Increasing Interest of Mass Communication…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? Co…ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS (2016)ASSOCIATION BETWEEN SOCIAL ME…Mortality in Mental Disorders and Global Disease Burden Implications (2015)Mortality in Mental Disorders…Evidence for effective interventions to reduce mental-health-related stigma and discrimination (2015)Evidence for effective interv…Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014)Big Questions for Social Medi…Patients’ and health professionals’ use of social media in health care: Motives, barriers and expectations (2013)Patients’ and health professi…Is Facebook creating “iDisorders”? 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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2007No health without mental health3,837 cited
  • 2015Mortality in Mental Disorders and Global Disease Burden Implications2,972 cited
  • 2013A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication2,515 cited
  • 2010Use of mass media campaigns to change health behaviour2,483 cited
  • 2010Predicting the Future with Social Media2,080 cited
  • 2009Twitter power: Tweets as electronic word of mouth1,654 cited
  • 2015Evidence for effective interventions to reduce mental-health-related stigma and discrimination1,336 cited
  • 2016ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS1,110 cited
  • 2009Self‐stigma and the “why try” effect: impact on life goals and evidence‐based practices1,073 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2014Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls775 cited
  • 2010Political Parties, Motivated Reasoning, and Issue Framing Effects736 cited
  • 2011Life Expectancy at Birth for People with Serious Mental Illness and Other Major Disorders from a Secondary Mental Health Care Case Register in London

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714 cited
  • 2013Patients’ and health professionals’ use of social media in health care: Motives, barriers and expectations632 cited
  • 2013Is Facebook creating “iDisorders”? The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety472 cited
  • Cited by

    • 2019Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis101 cited
    • 2022Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study26 cited
    • 2021Assessment of Antipsychotic Medications on Social Media: Machine Learning Study24 cited
    • 2021Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter17 cited