Year: 2024
Type: conference-paper
Abstract: This paper outlines the University of Tripoli's initiative in creating annotation guidelines to detect bias in news articles concerning the Palestinian-Israeli conflict.Our team participated in the Framing of Israeli Gaza News Media Narrative (FIGNEWS 2024) shared task.We developed annotation guidelines to label bias in news articles.Using those guidelines we managed to annotate 3,900 articles with the aid of our custom-developed annotation tool.Among 16 participating teams, we scored 48.7 on the macro F1 measure in the quality track in which we ranked 4 th .In the centrality track we were ranked at the 6 th position using the macro F1 avg measure, however, we achieved the 4 th best kappa coefficient.Our bias annotation guidelines was ranked in the 9 th position.
Institution: University of Tripoli
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4402671317