Maite Taboada
@maite_taboada
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Professor of Linguistics @SFU. Discourse analysis, computational linguistics, sentiment analysis, social media language, 'fake news' language. she/her
Greater Vancouver
Joined September 2013
In this piece for @IRPP Policy Options, I argue that online toxicity has become banal, something we do without thinking .
policyoptions.irpp.org
We need to deal with bad people acting up online, but we also need to talk more about good people acting badly on social media.
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RT @sistema_arText: It has been a pleasure to present our research in @IPrA2025 at The University of Queensland (Australia). Thanks, @cli….
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Come work at Simon Fraser University!. Tenure-Track Assistant Professor in Computational Linguistics. Preference will be given to complete applications received by November 30, 2024.
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RT @ecai2024: Is #HateSpeech detection tough? This #MeetECAIers is dedicated to @maite_taboada, her expertise on this subject, and the vita….
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RT @gradunav: ¿Existen marcadores lingüísticos de Fake News? Estado de la cuestión y futuras líneas de investigación en nuestra jornada:.La….
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Hablo sobre la desinformación en la @gradunav 👇👇👇.
El próximo 27 de mayo el grupo de investigación @gradunav organiza un simposio sobre desinformación desde una perspectiva lingüística. La jornada se podrá seguir tanto de manera presencial como virtual. Para ello, es necesario inscribirse en la página web 👇🏻.
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RT @loretahur: Mujeres representan el 30% de las fuentes informativas en medios digitales Fan del proyectazo lider….
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RT @SFULinguistics: Science Magazine recently spoke with Dr. Maite Taboada @maite_taboada about the lack of diversity in science news cover….
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RT @InformedOps: "Important for journalists to address disparities—for example, by tracking diversity of their sources" @maite_taboada prof….
science.org
Journalists’ decisions can impact researchers’ careers and public perception of who is a scientist
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RT @maite_martin: 🌐Proyecto GeMeCo📣Descubre la iniciativa desarrollada x el grupo @NLP_SINAI de la @ujaen en colaboración con la investigad….
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RT @SFUFASS: FASS had the honour of speaking with @SSHRC_CRSH president Ted Hewitt during his visit to @SFU yesterday—FASS Dean @SLaurelWel….
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RT @AkasAudience: “Where are all the ‘godmothers’ of AI? Women’s voices are not being heard.” New op-ed from @LubaKassova in @guardiannews….
theguardian.com
Amid the coverage of Sam Altman returning to the helm of OpenAI, women are being written out of the future of AI
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Excellent article by @LubaKassova about whose voices we hear when we hear about generative AI in the media .
theguardian.com
Amid the coverage of Sam Altman returning to the helm of OpenAI, women are being written out of the future of AI
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RT @AstonOriginals: 🚨 NEW SHOW 🚨. 🎙️ CorpusCast with @lovermob. 🗣️ Robbie chats with @maite_taboada & Dr Katharina Ehret about Fake News. 🤬….
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Katharina and I had a great convo w/ @lovermob for his #CorpusCast! .We talk about corpus methods in fake news detection and the register of online news comments.
Is it possible to detect fake news automatically, and how can corpus linguistics help?. Episode 21 of #CorpusCast is out now with guests @maite_taboada & Katharina Ehret talking about research on fake news and online news comments.
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So fun to talk corpus lx, fake news, and news comments w/ @lovermob and Katharina Ehret on #CorpusCast! Watch out for the recording, out in September.
🎧 Coming up on #CorpusCast 🎧. 🎙️ Ep. #20 (Aug): "Sketch Engine" with Dr Miloš Jakubíček (@jakubicekm).🎙️ Ep. #21 (Sep): "Fake News" with Prof Maite Taboada (@maite_taboada) & Dr Katharina Ehret.🎙️ Ep. #22 (Oct): "Computational Sociolinguistics" with Prof Jack Grieve (@JWGrieve)
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RT @JWGrieve: Happy to announce that our edited volume for @FrontiersIn on Computational Sociolinguistics #CSLX has now been published as a….
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We are presenting the research behind the Radar de Parité this week @CanadianAi @c_a_i_a_c in Montréal!! . Check out the full paper to find out why we think large language models won't solve all NLP problems 🤯.
ICYMI: @InformedOps' Gender Gap Tracker, powered by #SFU, has launched en français! . Radar de Parité—led by @maite_taboada's research team & supported by the advanced computing infrastructure @SFU's Big Data Hub—tracks gender equity in French news in 🇨🇦.
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