Researchers have created a new multi-task learning (MTL) model, a kind of machine learning model that functions across different datasets, to help them automatically and reliably detect hate speech on social media sites. At the forefront of the battle against hate speech and false information on the internet is University of Technology Sydney (UTS) Associate Professor Marian-Andrei Rizoiu, Head of the Behavioural Data Science Lab. In order to better comprehend and forecast human attention in the online environment, particularly the kinds of speech that sway and divide opinion on digital channels, his multidisciplinary study integrates computer and social sciences. https://techxplore.com/news/2024-10-multi-task-speech-identification.html Share this: Click to print (Opens in new window) Print Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Like this:Like Loading... Post navigation A Target-Aware Analysis of Data Augmentation for Hate Speech Detection (arXiv) Two Weeks in P/CVE: Free Resources on Countering Extremism, Hate, and Mis-/Disinformation, October 2024 (I/II)