This is the third in a series of monthly webinars about the veraAI project’s innovative research on AI-based fact-checking tools.
Join us on 26 November at 11:00 CEST to hear from Olesya Razuvayevskaya from the Natural Language Processing Research Group at the University of Sheffield (USFD), about their work on developing AI-based text analysis tools to verify information.
Textual misinformation can be detected through various semantic, stylistic, and linguistic clues, often referred to as credibility signals. In this webinar, USFD will explore three types of such signals: framing (presenting information from a particular perspective), persuasion techniques (pragmatic strategies used to influence and potentially mislead the audience), and genre (covering types such as objective, opinionated, and satirical news). They will delve into the methods developed within the veraAI project to identify these signals and demonstrate our publicly available tools for solving these tasks. Additionally, USFD will introduce their work on a multilingual Optical Character Recognition (OCR) tool, commonly utilized by media professionals to convert text within images into machine-encoded text for easier analysis and understanding.
This webinar, which targets anyone interested in the technological aspects of AI-based fact-checking, is open to EBU Members and Associates, as well as media professionals. Only registrants with company emails will admitted (no Gmail please). Please register in advance.