3 accepted papers
Controversial discourse is abundant on social media. Understanding how controversial problems are framed in online discourse is crucial for gaining insights into public opinion formation and for addressing misinformation and polarization. This paper presents a novel method for discovering and articu
Stance detection enables the inference of attitudes from human communications. Automatic stance identification was mostly cast as a classification problem. However, stance decisions involve complex judgments, which can be nowadays generated by prompting Large Language Models (LLMs). In this paper we…
Frames of communication are often evoked in multimedia documents. When an author decides to add an image to a text, one or both of the modalities may evoke a communication frame. Moreover, when evoking the frame, the author also conveys her/his stance towards the frame. Until now, determining if the…