FrameAxis: characterizing microframe bias and intensity with word embedding

• Published in: PeerJ. Computer science Vol. 7; p. e644
• Main Authors: Kwak, Haewoon, An, Jisun, Jing, Elise, Ahn, Yong-Yeol
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ. Ltd 22.07.2021; PeerJ, Inc; PeerJ Inc
• Subjects: Analysis; Annotations; Antonyms; Axes (reference lines); Bias; Computational Linguistics; Data Science; Datasets; Embedding; Framing; Immigration; Iterative methods; Media bias; Microframe; Natural Language and Speech; News media; Politics; Restaurants; Semantics; SemAxis; Social Computing; Subject specialists; Word embedding; World Wide Web and Web Science

Framing is a process of emphasizing a certain aspect of an issue over the others, nudging readers or listeners towards different positions on the issue even without making a biased argument. Here, we propose FrameAxis, a method for characterizing documents by identifying the most relevant semantic a...