Feb. 2, 2024, 9:40 p.m. | Nannan Huang Haytham Fayek Xiuzhen Zhang

cs.CL updates on arXiv.org arxiv.org

Opinion summarisation aims to summarise the salient information and opinions presented in documents such as product reviews, discussion forums, and social media texts into short summaries that enable users to effectively understand the opinions therein. Generating biased summaries has the risk of potentially swaying public opinion. Previous studies focused on studying bias in opinion summarisation using extractive models, but limited research has paid attention to abstractive summarisation models. In this study, using political bias as a case study, we first …

bias case case study cs.cl documents information media opinion opinions political pre-training product product reviews public reviews risk social social media study training

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