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Protecting historically marginalized groups or targeted marketing? A computational analysis of individuals engaging with public and protected cigar-branded tweets.
Drug Alcohol Depend
November 2024
College of Communication, Boston University, Boston, MA, USA.
Introduction: Swisher Sweets, a leading brand of little cigars and cigarillos in the United States, switched its Twitter account to protected status, limiting access to its tweets. This study examines how the protected status of Swisher Sweets tweets influences post engagement, aiming to inform regulatory strategies for branded tobacco promotions on social media.
Method: Using natural language processing, we predicted the demographics of individuals replying to Swisher Sweets' public and protected tweets.
Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data.
J Med Internet Res
December 2024
BC Centre for Disease Control, Vancouver, BC, Canada.
Background: Social media serves as a vast repository of data, offering insights into public perceptions and emotions surrounding significant societal issues. Amid the COVID-19 pandemic, long COVID (formally known as post-COVID-19 condition) has emerged as a chronic health condition, profoundly impacting numerous lives and livelihoods. Given the dynamic nature of long COVID and our evolving understanding of it, effectively capturing people's sentiments and perceptions through social media becomes increasingly crucial.
View Article and Find Full Text PDFDetecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study.
Npj Ment Health Res
December 2024
Department of Information & Decision Sciences, University of Illinois at Chicago, Chicago, IL, USA.
Depression affects over 280 million people globally, yet many cases remain undiagnosed or untreated due to stigma and lack of awareness. Social media platforms like X (formerly Twitter) offer a way to monitor and analyze depression markers. This study analyzes Twitter data 90 days before and 90 days after a self-disclosed clinical diagnosis.
View Article and Find Full Text PDFWhose tweets about obesity and weight loss gain the most attention: celebrities, political, or medical authorities?
Int J Obes (Lond)
November 2024
Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Przybyszewskiego 49, 60-355, Poznań, Poland.
Background: X (formerly Twitter) is a unique social medium where many famous people and health institutions post and interact with casual users. We aimed to explore reactions to tweets about obesity and weight loss from accounts representing celebrities, politicians, sportsmen, and health authorities.
Methods: We collected tweets from n = 2444 X profiles representing seven categories: celebrities, politicians, sportsmen, medical specialists, medical journals, medical universities, and health institutions.
A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial.
BMC Psychiatry
November 2024
Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
Background: Technology-enabled services (TES; clinical services that include both technology-driven [e.g., personal sensing technologies] and person-powered support elements) may address gaps in depression and anxiety treatments in healthcare settings.
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