EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization

ArXi:2605.23412v1 Announce Type: new While social media platforms, such as Twitter, provide a medium for large-scale opinion sharing during news events, it is manually impossible for individuals or media agencies to process the vast volume of content to identify key viewpoints. In order to resolve this, several automatic summarization techniques have been proposed to condense large collections of tweets into concise and informative summaries. However, these algorithms do not explicitly consider graphic fairness.