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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Abstract

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
Projects:	Project title Project leader Project code Project type Postupci strojnog učenja za dubinsku analizu složenih struktura podataka-DescriptiveInduction Dragan Gamberger IP-11-2013-9623 HRZZ
Depositing User:	Damir Korenčić
Date Deposited:	24 Oct 2016 18:06
URI:	http://fulir.irb.hr/id/eprint/3083
DOI:	10.1145/2809936.2809942

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