There are several online contexts in which this tool can be used. It improves social media companies’ capacity to identify dangerous communications, making the user experience safer. Protecting younger viewers, who can be more susceptible to internet abuse, is especially crucial. The tool helps stop harmful behaviors like bullying from continuing unchecked by identifying subtle kinds of toxicity. The technology represents a significant development in content moderation. By tackling the drawbacks of conventional keyword-based filters, it provides a workable answer to the enduring problem of concealed toxicity. Crucially, it shows how little yet targeted changes may have a significant impact on establishing more secure and welcoming online spaces.https://www.rnz.co.nz/news/on-the-inside/534950/unmasking-hidden-online-hate-new-tool-helps-catch-nasty-comments-even-when-they-re-disguisedShare this:FacebookXLike this:Like Loading... Post navigation Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, November 2024 (I/II) Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis (MDPI)