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        <title>Analyzing the Framing of 2020 Presidential Candidates in the News</title>
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    <abstract>In this study, we apply NLP methods to learn about the framing of the 2020 Democratic Presidential candidates in news media. We use both a lexicon-based approach and word embeddings to analyze how candidates are discussed in news sources with different political leanings. Our results show significant differences in the framing of candidates across the news sources along several dimensions, such as sentiment and agency, paving the way for a deeper investigation.</abstract>
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    <identifier type="doi">10.18653/v1/2020.winlp-1.32</identifier>
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%0 Conference Proceedings
%T Analyzing the Framing of 2020 Presidential Candidates in the News
%A Acken, Audrey
%A Demszky, Dorottya
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Varis, Erika
%Y Georgi, Ryan
%Y Tsai, Alicia
%Y Anastasopoulos, Antonios
%Y Chandu, Khyathi Raghavi
%S Proceedings of the Fourth Widening Natural Language Processing Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F acken-demszky-2020-analyzing
%X In this study, we apply NLP methods to learn about the framing of the 2020 Democratic Presidential candidates in news media. We use both a lexicon-based approach and word embeddings to analyze how candidates are discussed in news sources with different political leanings. Our results show significant differences in the framing of candidates across the news sources along several dimensions, such as sentiment and agency, paving the way for a deeper investigation.
%R 10.18653/v1/2020.winlp-1.32
%U https://aclanthology.org/2020.winlp-1.32
%U https://doi.org/10.18653/v1/2020.winlp-1.32
%P 123

Markdown (Informal)

[Analyzing the Framing of 2020 Presidential Candidates in the News](https://aclanthology.org/2020.winlp-1.32) (Acken & Demszky, WiNLP 2020)

• Analyzing the Framing of 2020 Presidential Candidates in the News (Acken & Demszky, WiNLP 2020)

ACL

• Audrey Acken and Dorottya Demszky. 2020. Analyzing the Framing of 2020 Presidential Candidates in the News. In Proceedings of the Fourth Widening Natural Language Processing Workshop, page 123, Seattle, USA. Association for Computational Linguistics.