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Detecting and Characterizing Eating-Disorder Communities on Social Media

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References

2013Diagnostic and Statistical Manual of Mental Disorders109,522 cited
2001Birds of a Feather: Homophily in Social Networks18,551 cited
2009The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods5,768 cited
2001Social Ties and Mental Health3,557 cited
2011Mortality Rates in Patients With Anorexia Nervosa and Other Eating Disorders2,863 cited
2021Predicting Depression via Social Media1,582 cited
2011Political Polarization on Twitter1,251 cited
2010Network Diversity and Economic Development772 cited
2014Quantifying Mental Health Signals in Twitter722 cited
2014Self-Disclosure in Social Media: Extending the Functional Approach to Disclosure Motivations and Characteristics on Social Network Sites648 cited
1999Friendship clique and peer influences on body image concerns, dietary restraint, extreme weight-loss behaviors, and binge eating in adolescent girls.564 cited
2013Social media as a measurement tool of depression in populations497 cited
2013Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube340 cited
2014Measuring Post Traumatic Stress Disorder in Twitter316 cited
n.d.SELF-DISCLOSURE IN SOCIAL MEDIA: EXTENDING THE FUNCTIONAL APPROACH TO DISCLOSURE MOTIVATIONS AND CHARACTERISTICS ON SOCIAL NETWORK SITES

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293 cited

2016Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities191 cited

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