Year: 2020
Type: conference-paper
Abstract: Usage of presuppositions in social media and news discourse can be a powerful way to influence the readers as they usually tend to not examine the truth value of the hidden or indirectly expressed information.Fairclough and Wodak (1997) discuss presupposition at a discourse level where some implicit claims are taken for granted in the explicit meaning of a text or utterance.From the Gricean perspective, the presuppositions of a sentence determine the class of contexts in which the sentence could be felicitously uttered.This paper aims to correlate the type of knowledge presupposed in a news article to the bias present in it.We propose a set of guidelines to identify various kinds of presuppositions in news articles and present a dataset consisting of 1050 articles which are annotated for bias (positive, negative or neutral) and the magnitude of presupposition.We introduce a supervised classification approach for detecting bias in political news which significantly outperforms the existing systems.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W3045592540