AIMC Topic: Social Media

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Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19.

Journal of medical Internet research
BACKGROUND: The rapid growth of social media as an information channel has enabled the swift spread of inaccurate or false health information, significantly impacting public health. This widespread dissemination of misinformation has caused confusion...

Intersection of Big Five Personality Traits and Substance Use on Social Media Discourse: AI-Powered Observational Study.

Journal of medical Internet research
BACKGROUND: Personality traits are known predictors of substance use (SU), but their expression and association with SU in digital discourse remain largely unexamined. During the COVID-19 pandemic, the online social engagement heightened and led to a...

Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data.

JMIR mHealth and uHealth
BACKGROUND: Mobile apps are powerful tools for promoting and sustaining healthy behaviors, including supporting diverse recovery pathways from substance use, including alcohol use disorder. Indeed, prior research strongly supports the notion that soc...

An Exploratory Typology of Tobacco-Related Misleading Content on Social Media: Qualitative Analysis of Instagram and TikTok.

Journal of medical Internet research
BACKGROUND: Tobacco-related misinformation on social media platforms presents growing challenges to digital health communication and public health. Although prior studies have focused on platform-specific patterns, a unified framework for categorizin...

AI-powered epidemic control: Deepseek's role in global health resilience.

Journal of translational medicine
DeepSeek, an AI-driven platform, revolutionizes epidemic management through early warning systems, trend prediction, treatment optimization, and public consultation. By integrating multi-source real-time data (epidemiological, social media, mobility)...

Platform-independent experiments on social media.

Science (New York, N.Y.)
Changing algorithms with artificial intelligence tools can influence partisan animosity.

Tackling toxicity in Arabic social media through advanced detection techniques.

Scientific reports
Online social networks are currently the most widely utilized interactive media for interpersonal communication, emotional expression, and information sharing. Despite the helpful and fascinating content, unfortunately, inappropriate or abusive conte...

Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach.

Scientific reports
Social media platforms are prevalently used to express and share opinions on a wide range of topics, which has amplified interest in textual emotion detection. However, accurately detecting emotions in individuals, especially those with communication...

Evaluating community resilience through social media during China's first post-COVID-19 reopening: insights from machine learning.

Journal of global health
BACKGROUND: In the face of pandemics from infectious diseases, enhancing community resilience is increasingly important. It is, therefore, essential to evaluate community resilience and identify factors that can strengthen it. This study aimed to eva...

Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Electronic cigarette (e-cigarette) use is prevalent in youth and young adults in the United States. TikTok (ByteDance), a popular social media platform among youth and young adults, has become a key avenue for disseminating e-cigarette-re...