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TikTok Mental Health Discourse Analyzed for Tone and Toxicity

Researchers analyzed 28,341 TikTok videos and 80,130 comments from Mental Health Awareness Month in 2023 and 2024 to understand the tone of mental health discourse. Using BERTopic, XLM-T, and Detoxify, they mapped topics, sentiment, and toxicity, distinguishing between content creation and audience reception. While video sentiment was often negative for emotionally charged topics, comments showed a shift towards mixed or positive polarity, particularly for suicide prevention content. Toxicity levels were generally low but higher in comments for specific topics like "Suicide Prevention." AI

IMPACT Provides insights into how AI tools can analyze sentiment and toxicity in online mental health discussions.

RANK_REASON The cluster contains an academic paper detailing a study on social media discourse.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Henrique Ferraz de Arruda, Andreia Sofia Teixeira, Pranay Gundala Reddy, Anindya Mondal, Kleber Andrade Oliveira, Filipi Nascimento Silva ·

    The Tone of Awareness: Topic, Sentiment, and Toxicity Maps During Mental Health Month on TikTok

    arXiv:2606.13581v1 Announce Type: cross Abstract: Despite raising concerns about the mental health effects associated with the usage of TikTok, little is known about how related content is framed by creators and received by audiences. We collect the content of 28,341 TikTok video…

  2. arXiv cs.CL TIER_1 English(EN) · Filipi Nascimento Silva ·

    The Tone of Awareness: Topic, Sentiment, and Toxicity Maps During Mental Health Month on TikTok

    Despite raising concerns about the mental health effects associated with the usage of TikTok, little is known about how related content is framed by creators and received by audiences. We collect the content of 28,341 TikTok videos and 80,130 comments from Mental Health Awareness…