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Bots and Misinformation Spread on Social Media: Implications for COVID-19

Bots and Misinformation Spread on Social Media: Implications for COVID-19

McKenzie Himelein-Wachowiak, Salvatore Giorgi, Amanda Devoto, Muhammad Rahman, Lyle Ungar, H Andrew Schwartz, David H Epstein, Lorenzo Leggio, Brenda Curtis

J Med Internet Res 2021;23(5):e26933

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Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis

Heather Griffis, David A Asch, H Andrew Schwartz, Lyle Ungar, Alison M Buttenheim, Frances K Barg, Nandita Mitra, Raina M Merchant

JMIR Diabetes 2020;5(1):e14431

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Correction: Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Correction: Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Jordan May Carpenter, Patrick Crutchley, Ran D Zilca, H Andrew Schwartz, Laura K Smith, Angela M Cobb, Acacia C Parks

J Med Internet Res 2017;19(12):e347

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Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

See Schwartz et al [18] for additional details on the language correlation analysis outlined here, as well as Figure 2 for an outline of this process. Steps in language correlation analyses (adapted from Schwartz et al [17]). Broadly, step 1 involves deriving independent language variables from the aggregated participant Facebook language data. In step 2, language topics are correlated with other participant characteristics.

Robert J James Smith, Patrick Crutchley, H Andrew Schwartz, Lyle Ungar, Frances Shofer, Kevin A Padrez, Raina M Merchant

J Med Internet Res 2017;19(1):e7

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Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Jordan May Carpenter, Patrick Crutchley, Ran D Zilca, H Andrew Schwartz, Laura K Smith, Angela M Cobb, Acacia C Parks

J Med Internet Res 2016;18(8):e241

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Using Twitter to Measure Public Discussion of Diseases: A Case Study

Using Twitter to Measure Public Discussion of Diseases: A Case Study

Christopher Joseph Weeg, H. Andrew Schwartz, Shawndra Hill, Raina M Merchant, Catalina Arango, Lyle Ungar

JMIR Public Health Surveill 2015;1(1):e6

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Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment

Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment

Charlene A A Wong, Maarten Sap, Andrew Schwartz, Robert Town, Tom Baker, Lyle Ungar, Raina M Merchant

J Med Internet Res 2015;17(2):e51

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