Sign inGet started
Paper · arXiv

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 Month (May) in 2023 and 2024 via the TikTok Research API, and study how the tone of awareness varies across topics and years. We characterize "tone" as the emotional and interpersonal framing of mental health discourse, operationalized through sentiment and toxicity measures. We extract topics from video text using BERTopic and log-odds keywords, then quantify topic-conditioned sentiment (XLM-T) and toxicity (Det...

AuthorsHenrique Ferraz de Arruda, Andreia Sofia Teixeira, Pranay Gundala Reddy et al.
Primary categorycs.CY
Published11 June 2026
Last updated at source11 June 2026
cs.CYcs.CLcs.HCphysics.soc-ph
Embed this entry
<iframe src="https://silytics.si/embed/item/d50e854d-59f7-4854-9aab-501a80163e94" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.