Predicting the Topical Stance and Political Leaning of Media using Tweets

Peter Stefanov
Peter Stefanov
Atanas Atanasov
Atanas Atanasov

ACL, pp. 527-537, 2020.

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The results are shown in Table 6, where we can see that using the average valence score yields 68.0% accuracy compared to 75.2% accuracy when using the eight individual valence scores as features

Abstract:

Discovering the stances of media outlets and influential people on current, debatable topics is important for social statisticians and policy makers. Many supervised solutions exist for determining viewpoints, but manually annotating training data is costly. In this paper, we propose a cascaded method that uses unsupervised learning to as...More

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