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Research
Latest papers
Reported speech and gender in the news: Who is quoted, how are they quoted, and why it matters.
Discourse & communication · 2025 · first author
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework.
Frontiers in artificial intelligence · 2021 · senior author
Characterising Online News Comments: A Multi-Dimensional Cruise Through Online Registers.
Frontiers in artificial intelligence · 2021 · senior author
Latest funding
- $128,000
Natural language processing for detecting toxic, abusive, and hateful language online
NSERC · 2022 · Principal investigator
- $120,000
A computational treatment of negation and speculation in natural language
NSERC · 2015 · Principal investigator
- $490,680
Opinion, subjectivity and point of view in language
SSHRC · 2014 · Principal investigator
5 publications.
Reported speech and gender in the news: Who is quoted, how are they quoted, and why it matters.
Taboada M
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework.
Rao P, Taboada M
Characterising Online News Comments: A Multi-Dimensional Cruise Through Online Registers.
Ehret K, Taboada M
The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media.
Asr FT, Mazraeh M, Lopes A, Gautam V, Gonzales J, Rao P, Taboada M
The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments.
Kolhatkar V, Wu H, Cavasso L, Francis E, Shukla K, Taboada M
Natural language processing for detecting toxic, abusive, and hateful language online
Principal investigators: Taboada, Maite
Keywords: natural language processing; artificial intelligence; machine learning; abusive language; hate speech; social media; ethical ai
A computational treatment of negation and speculation in natural language
Principal investigators: Taboada, Maite
Opinion, subjectivity and point of view in language
Principal investigators: Taboada, Maite
Keywords: subjectivity; sentiment analysis; discourse analysis; corpus linguistics; computational linguistics
Discourse parsing for summarization and sentiment detection
Principal investigators: Taboada, MaiteMariaTeresa
Subject, topic and focus of attention in spoken language
Principal investigators: Taboada, Maite Teresa M.
Keywords: anaphora resolution; discourse; dialogue; computational linguistics
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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