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Getting the agenda right: measuring media agenda using topic models

Korenčić, Damir; Ristov, Strahil; Šnajder, Jan (2015) Getting the agenda right: measuring media agenda using topic models. In: TM '15 Proceedings of the 2015 Workshop on topic models: post-processing and applications. New York, ACM, pp. 61-66 .

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Agenda setting is the theory of how issue salience is transferred from the media to media audience. An agenda-setting study requires one to define a set of issues and to measure their salience. We propose a semisupervised approach based on topic modeling for exploring a news corpus and measuring the media agenda by tagging news articles with issues. The approach relies on an off-the-shelf Latent Dirichlet Allocation topic model, manual labeling of topics, and topic model customization. In preliminary evaluation, the tagger achieves a micro F1-score of 0.85 and outperforms the supervised baselines, suggesting that it could be successfully used for agenda-setting studies.

Item Type: Conference or workshop item published in conference proceedings (UNSPECIFIED)
Uncontrolled Keywords: agenda setting; agenda measuring; news media analysis; topic modeling; document tagging; multi-label classification
Subjects: TECHNICAL SCIENCES > Computing > Artificial Intelligence
Divisions: Division of Electronics
Project titleProject leaderProject codeProject type
Postupci strojnog učenja za dubinsku analizu složenih struktura podataka-DescriptiveInductionDragan GambergerIP-11-2013-9623HRZZ
Depositing User: Damir Korenčić
Date Deposited: 24 Oct 2016 18:06
DOI: 10.1145/2809936.2809942

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