Language model estimates indicate increased outgroup animosity among a sample of politicians, journalists, and partisan users on Twitter and Reddit. [PDF]
Sci RepFulay S, Roy D.
europepmc +1 more source
Large language model empowered explainable and interpretable mental health analysis. [PDF]
Sci RepBajpai S +5 more
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Characterizing Online Opinion on Vaping and E-Cigarettes in X (Formerly Twitter) Discourse in Singapore: Infodemiology Study. [PDF]
JMIR InfodemiologyAlba C.
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Social Media Use and Health: What We Have Known So Far, and What We Need to Investigate in the Future. [PDF]
Healthcare (Basel)Ye S, Ho KKW.
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Do Mass and Social Media have Roles in Preventing and Controlling COVID-19 among Adolescents in Jakarta? [PDF]
Acta Med PhilippHutahaean S +3 more
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Evaluating Large Language Models for Post-Publication Promotion: A Blinded Comparative Study of Social Media Posts in Public Health. [PDF]
J Korean Med SciDoskaliuk B +3 more
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A Demonstration of Propensity-Score Weighting to Adjust a Social Media Nonprobability Sample Survey of Political Attitudes. [PDF]
Public Opin QPollard MS, Robbins MW, Griswold M.
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The 5G COVID-19 Digital Wildfire: An evolving network of Twitter contacts to explore phase transition metaphors in viral misinformation. [PDF]
PLoS OneGåsvær KS +5 more
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