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Systemic Functional Linguistics and Its Application to the Study of Academic Conference Presentations
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In: World Languages Faculty Publications and Presentations (2021)
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A corpus analysis of online news comments using the Appraisal framework
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The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media
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In: PLoS One (2021)
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Abstract:
We examine gender bias in media by tallying the number of men and women quoted in news text, using the Gender Gap Tracker, a software system we developed specifically for this purpose. The Gender Gap Tracker downloads and analyzes the online daily publication of seven English-language Canadian news outlets and enhances the data with multiple layers of linguistic information. We describe the Natural Language Processing technology behind this system, the curation of off-the-shelf tools and resources that we used to build it, and the parts that we developed. We evaluate the system in each language processing task and report errors using real-world examples. Finally, by applying the Tracker to the data, we provide valuable insights about the proportion of people mentioned and quoted, by gender, news organization, and author gender. Data collected between October 1, 2018 and September 30, 2020 shows that, in general, men are quoted about three times as frequently as women. While this proportion varies across news outlets and time intervals, the general pattern is consistent. We believe that, in a world with about 50% women, this should not be the case. Although journalists naturally need to quote newsmakers who are men, they also have a certain amount of control over who they approach as sources. The Gender Gap Tracker relies on the same principles as fitness or goal-setting trackers: By quantifying and measuring regular progress, we hope to motivate news organizations to provide a more diverse set of voices in their reporting.
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Keyword:
Research Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33513175
https://doi.org/10.1371/journal.pone.0245533
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845988/
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The Gender Gap Tracker: Using Natural Language Processing To Measure Gender Bias in Media
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Characterising Online News Comments: A Multi-Dimensional Cruise Through Online Registers
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In: Front Artif Intell (2021)
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The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments
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In: Corpus Pragmat (2019)
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Big Data and Quality Data for Fake News and Misinformation Detection
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Introduction to the special issue on Language in Social Media: Exploiting discourse and other contextual information
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In: https://hal.archives-ouvertes.fr/hal-03044246 ; Benamara, Farah; Taboada, Maïté; Inkpen, Diana; ACL: Association for Computational Linguistics. The MIT Press, 44 (4, special issue), pp.663-681, 2018, Computational Linguistics, ISSN: 0891-2017. ⟨10.1162/coli_a_00333⟩ ; https://www.mitpressjournals.org/doi/full/10.1162/coli_a_00333 (2018)
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RST Signalling Corpus: A Corpus of Signals of Coherence Relations
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Evaluative language beyond bags of words: Linguistic insights and computational applications.
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02540259 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2017, 43 (1), pp.201-264. ⟨10.1162/COLI_a_00278⟩ (2017)
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| 17 |
The Semantics of Evaluational Adjectives: Perspectives from Natural Semantic Metalanguage and Appraisal
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| 18 |
Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications
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| 20 |
Evaluation in Political Discourse Addressed to Women: Appraisal Analysis of Cosmopolitan's Coverage of the 2014 US Midterm Elections
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