Get the latest tech news
Right-leaning political figures fuel online hate
Researchers have developed a new way to automatically detect hate speech on social media platforms more accurately and consistently using a new Multi-task Learning (MTL) model; a type of machine learning model that works across multiple datasets.
The spread of abusive hate speech online can deepen political divisions, marginalise vulnerable groups, weaken democracy and trigger real-world harms, including an increased risk of domestic terrorism. His interdisciplinary research combines computer and social sciences, to better understand and predict human attention in the online environment, including the types of speech that influence and polarise opinion on digital channels. The MTL model was then tested on a unique dataset of 300,000 tweets from 15 American public figures – such as former presidents, conservative politicians, far-right conspiracy theorists, media pundits, and left-leaning representatives perceived as very progressive.
Or read this on r/technology