This paper shifts the focus from content to linguistic style in the study of online communities, exploring whether distinct communities have identifiable styles. Employing a broad definition of style with 262 features, the study analyzes the linguistic characteristics of 9 online communities across 3 social media platforms covering politics, television, and travel. Findings reveal that communities do possess unique styles, with linguistic style serving as an excellent predictor of group membership, achieving an F-score of 0.952 and an accuracy of 96.09%. The study also indicates that while predictions based on style are statistically equivalent to those using content, they are more robust against reductions in training data.
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Khalid, Osama, and Padmini Srinivasan. "Style matters! Investigating linguistic style in online communities." Proceedings of the international AAAI conference on web and social media. Vol. 14. 2020.
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