News

I am a newly elected Fellow of the Royal Society of Canada.
- RSC announcement
- SFU announcement
- SFU Linguistics news story

I am Distinguished SFU Professor!!

New section of the publications page, with Video lectures and presentations that I have done over the years and that you can still find online.

New NSERC Discovery Grant "Natural language processing for detecting toxic, abusive, and hateful language online". Read all about it in the SFU Linguistics story.

New funding from OBVIA to carry out research on women representation in Québec media during the Covid-19 pandemic. I'm looking forward to a collaboration with colleagues at Université Laval!

Mind the Gap: représentation des #femmes dans les #médias québécois durant la #pandémie #COVID19
Chercheur principal: Richard Khoury @universitelaval
Cochercheuses et cochercheurs
Josette Brun ULaval@ColetteB ULaval@yannickdufresne ULaval@maite_taboada @sfueducation

— OBVIA (@ObservatoireIA) June 16, 2022

Video podcast produced by CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes)  where Senén Barro, Pablo Gamallo and I discuss language technology (in Spanish).

A summary of our contributions on the Gender Gap Tracker:
1. Dashboards and code:

• - Main dashboard with summary results: https://gendergaptracker.informedopinions.org/.
• - Research dashboard with text analyzer and topic modelling results: https://gendergaptracker.research.sfu.ca/
• - Code: https://github.com/sfu-discourse-lab/GenderGapTracker

2. Op-eds and commentary:

• - P. Rao, L. Chambers and M. Taboada. "Three years of monitoring gender representation in the media". Blog post. November 30, 2022.
• - P. Rao, M. Taboada and S. Graydon. "What we can learn from three years of data on the gender gap in news reporting". Poynter. October 28, 2021.
• - M. Taboada "The coronavirus pandemic increased the visibility of women in the media, but it’s not all good news". The Conversation. November 25, 2020.
• - M. Taboada and F. Torabi Asr. “Tracking the gender gap in Canadian media”. The Conversation. February 3, 2019. (Translated as "Big data para analizar la brecha de género en la prensa".)

3. Academic papers:
• - Rao, P. and M. Taboada (2021) Gender bias in the news: A scalable topic modelling and visualization framework. Frontiers in Artificial Intelligence – Language and Computation 4(82). doi: 10.3389/frai.2021.664737.
• - Asr, F.T., M. Mazraeh, A. Lopes, V. Gautam, J. Gonzales, P. Rao and M. Taboada (2021) The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media. PLoS ONE 16(1): e0245533.

Op-ed on the Gender Gap Tracker and its third birthday:

• - P. Rao, M. Taboada and S. Graydon. "What we can learn from three years of data on the gender gap in news reporting". Poynter.   October 28, 2021.

Op-ed on online toxicity,  in Policy Options, the digital magazine of the Institute for Research on Public Policy:

• - M. Taboada. "The banality of online toxicity". Policy Options. October 6, 2021.

Op-ed on the language of fake news, in Items, the journal of the Social Sciences Research Council:

• - M. Taboada. “Authentic language in fake news”. Items – Insights from the Social Sciences. September 7, 2021.

Our paper received the Test of Time Award from the Association from Computational Linguistics!!!

The paper: Taboada, M., J. Brooke, M. Tofiloski, K. Voll and M. Stede (2011) Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics 37 (2): 267-307.

The Test of Time Award recognizes "papers that have had long-lasting influence on the field of Natural Language Processing and Computational Linguistics."

Citation, from the video of the award ceremony: “This paper shows how a lexicon-based approach can be effective for sentiment analysis, and more importantly, also stable and portable across domains. Despite the current dominance of learning-based methods, lexicon-based methods for sentiment analysis keep being relevant, particularly in new domains where large training data isn’t available and where portability is crucial.”

An update on our project about online news comments. Three more papers (#8, #9, and #10  below) on news comments and a summary of our findings:

1. Raw data
   • - Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2018) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Simon Fraser University. 
   • - GitHub page, with link to download the corpus: https://github.com/sfu-discourse-lab/SOCC
2. Paper describing the raw data (with small annotations)
   • - Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2020) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics 4: 155–190.
3. Annotated data (12,000 comments), in collaboration with Jigsaw
   
   • - Kolhatkar, V., Thain, N., Sorensen, J., Dixon, L., Taboada, M., 2020. C3: The Constructive Comments Corpus. Jigsaw and Simon Fraser University. Dataset. DOI: 10.25314/ea49062a-5cf6-4403-9918-539e15fd7b52.
4. Paper describing the large-scale annotation
   • - Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying constructive comments. First Monday. Available on arXiv: https://arxiv.org/abs/2004.05476.
5. Register analysis: Are news comments like conversations? (tl;dr: NO)
   • - Ehret, K. and M. Taboada (2020) Are online news comments like face-to-face conversation? A multi-dimensional analysis of an emerging register. Register Studies 2(1): 1-36.
6. Subjectivity analysis: How complex are news comments vs. opinion articles? (tl;dr: it's complex)
   • - Ehret, K. and M. Taboada (2021) The interplay of complexity and subjectivity in opinionated discourse. Discourse Studies 23(2): 141-165.
7. Constructiveness and toxicity across 3 newspapers:
   • - Op-ed. Gautam, V. and M. Taboada. 2019. “Hey Tyee commenters! Scholars studied you. Here's what they found”. The Tyee.
8. NEW!!! Register analysis, again. If not like conversation, what are comments like? (Answer: a hybrid register):
   • - Ehret, K. and M. Taboada (2021) Characterising online news comments: A multi-dimensional cruise through online registers. Frontiers in Artificial Intelligence – Language and Computation 4(79): 10.3389/frai.2021.643770.
9. NEW!!! Appraisal analysis. Comments are very negative. They tend to express evaluation as Judgement or Appreciation (rather than Affect).
   • - Cavasso, L. and M. Taboada (2021) A corpus analysis of online news comments using the Appraisal framework. Journal of Corpora and Discourse Studies 4: 1-38.
10. NEW!!! Concessive relations in comments. Concessions have an interpersonal function and are used for evaluation and argumentation, especially in constructive comments.
    
    • - Gómez-González, MLA and M. Taboada (2021) Concession strategies in online newspaper comments. Journal of Pragmatics 174: 96-116.

We have learned a lot about online news comments. Mostly, that they are very complex and more like essays than casual conversation.

Paper with Luca Cavasso on online news comments

Cavasso, L., & Taboada, M. (2021). A corpus analysis of online news comments using the Appraisal framework. Journal of Corpora and Discourse Studies, 4, 1–38. DOI: https://t.co/eqbgAg95eP https://t.co/l0ZykSrwFW

Findings, 1/6

— Maite Taboada (@maite_taboada) May 6, 2021

Gender Gap Tracker paper now published:
- Asr, F.T., M. Mazraeh, A. Lopes, V. Gautam, J. Gonzales, P. Rao and M. Taboada (2021) The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media. PLoS ONE 16(1): e0245533.
Our findings:

1. In 2 years of Canadian news media, the percentage of women quoted is regularly below 30%
2. Women authors quote more women
3. Politicians dominate in the news
4. NLP can help us find these patterns in data
   

Paper on the #GenderGapTracker in @PLOSONE with the fab team in the Discourse Processing Lab:@drftasr @MohMaz_ @aleaugusto_ti @VasundharaNLP Junette Gonzales @tech_optimist @InformedOps @SFULinguistics @SFUResearch @SFUhttps://t.co/l4nLP1sdSm

— Maite Taboada (@maite_taboada) January 29, 2021

We have been working for almost 3 years now on a project analyzing the gender gap in Canadian media. We have created a  summary dashboard with overall statistics and a research dashboard analyzing topics and top-quoted sources. We can also now share the great news that a research paper on the Gender Gap Tracker has been accepted for publication:
- Asr, F.T., M. Mazraeh, A. Lopes, V. Gautam, J. Gonzales, P. Rao and M. Taboada (to appear) The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media. PLoS ONE.

Op-ed on women quoted during COVID-19:
- The coronavirus pandemic increased the visibility of women in the media, but it’s not all good news. The Conversation. November 25, 2020.

Op-ed by Lucas Chambers and Maite Taboada on media coverage of elections:
- Who is quoted and who is elected? Media coverage of political candidates. Canadian Science Policy Centre. November 3, 2020.

The lab has been busy analyzing online news comments. Here, all in one place, are the papers and the data that we have produced:

1. Raw data
   • - Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2018) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Simon Fraser University.
   • - GitHub page, with link to download the corpus: https://github.com/sfu-discourse-lab/SOCC
2. Paper describing the raw data (with small annotations)
   • - Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (2020) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics 4: 155–190.
3. Annotated data (12,000 comments), in collaboration with Jigsaw
   
   • - Kolhatkar, V., Thain, N., Sorensen, J., Dixon, L., Taboada, M., 2020. C3: The Constructive Comments Corpus. Jigsaw and Simon Fraser University. Dataset. DOI: 10.25314/ea49062a-5cf6-4403-9918-539e15fd7b52.
4. Paper describing the large-scale annotation
   • - Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying constructive comments. First Monday. Available on arXiv: https://arxiv.org/abs/2004.05476.
5. Register analysis: Are news comments like conversations? (tl;dr: NO)
   • - Ehret, K. and M. Taboada (2020) Are online news comments like face-to-face conversation? A multi-dimensional analysis of an emerging register. Register Studies 2(1): 1-36.
6. Subjectivity analysis: How complex are news comments vs. opinion articles? (tl;dr: it's complex)
   • - Ehret, K. and M. Taboada (to appear) The interplay of complexity and subjectivity in opinionated discourse. Discourse Studies.
7. Constructiveness and toxicity across 3 newspapers:
   • - Op-ed. Gautam, V. and M. Taboada. 2019. “Hey Tyee commenters! Scholars studied you. Here's what they found”. The Tyee.

We have learned a lot about online news comments. Mostly, that they are very complex and more like essays than casual conversation.

Discourse Lab member Fatemeh Torabi Asr just won the SFU President’s Emerging Thought Leader Newsmaker of the Year Award for 2019!
You can read the SFU press release about her award, and the story she wrote about her research on misinformation and fake news, which has reached almost 69,000 reads.

Presentation at the Women in Data Science Conference in Vancouver, discussing the Gender Gap Tracker.

@maite_taboada talking about the Gender Gap Tracker right now at #WiDSVAN2020!!!#WiDSVancouver @WiDS_Conference@InformedOps @ShariGraydon @SFULinguistics @SFU pic.twitter.com/UGO8G4ZRhv

— vasundhara 👩‍💻🗣️🦆🏳️‍🌈 (@VasundharaNLP) March 5, 2020

I am part of a project funded by the Canada-UK Artificial Intelligence Initiative to study and counter abusive language online, with Wendy Chun of SFU as PI.

I wrote a column for the newsletter of the Spanish Association for Corpus Linguistics. I argue that much of corpus linguistics can be thought of as 'research for good'.

I am Acting Associate Dean, Research & International in the Faculty of Arts and Social Sciences.

Featured on the WWEST "Best of the WWest" podcast

We analyzed more than 1.5 million comments from 3 news organizations. We found more constructive comments than we expected, that toxicity happens equally across topics and that some news outlets have better commenters than others. The full story:
- Gautam, V. and M. Taboada (2019) Constructiveness and Toxicity in Online News Comments. Report. Simon Fraser University. November 2019.

We also published a short version as an op-ed for The Tyee:

- Gautam, V. and M. Taboada. Hey Tyee Commenters! Scholars Studied You. Here's What They Found. The Tyee (online). November 6, 2019.

SOCC, the SFU Opinion and Comments Corpus, has been available online for a while. Now the paper describing it is also online:
- Kolhatkar, V.,H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada (to appear) The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics.

Our paper on writing-intensive instruction in linguistics classes is now out! Available for free:
- Pappas, P., M. Taboada and K. Alexander (2019) Teaching linguistic argumentation through a writing-intensive approach. Language (Teaching Linguistics Section) 95(3): e339-e363.

I am participating in a project that studies online abuse against candidates in the 2019 Canadian federal election:
- Trolls on the Campaign Trail: How Candidates Experience and Respond to Online Abuse
PIs: Heidi Tworek, Chris Tenove, University of British Columbia

Discourse Processing Lab postdoc Fatemeh Torabi Asr publishes an article on the lab's fake news research.
- Discussed in this Guardian article.
- Reprinted by PBS, by Nieman Lab, by Salon, by AlterNet, by The Halifax Chronicle Herald.

You can hear me discuss the Gender Gap Tracker in Spanish, gracias a Radio Canadá Internacional.
Or read the article in The Conversation España.

The Peak, SFU's newspaper, wrote an article about the Congress of the Humanities and Social Sciences that mentions my poster presentation on work with Rada Trnavac and Cliff Goddard.

Paper on data quality for misinformation detection now available, open access:
Asr, F.T. and M. Taboada (2019) Big data and quality data for fake news and misinformation detection. Big Data & Society. January-June 2019:1-14.
- Paper too long to read? There's a video abstract!

We just had a paper accepted on our fake news project!
Asr, F.T. and M. Taboada (to appear) Big data and quality data for fake news and misinformation detection. Big Data & Society.

Attending the BCTech Summit. You can check out who else will be there from SFU.

I'll be conferencing quite a bit in May and June:
- Plenary at the 11th International Conference on Corpus Linguistics (Valencia, Spain)
- Plenary at the 32nd Canadian AI Conference (Kingston, Ontario)

Two presentations about joint work with colleagues during Congress in Vancouver: 
- Goddard, C., M. Taboada and R. Trnavac (2019). The English [adverb-ly adjective] construction: Classification and distribution across corpora and registers. CLA, Canadian Linguistics Association.
- Ehret, K. and M. Taboada (2019) Describing registers on the web: complexity and subjectivity in online comments and opinion articles. CAAL, Canadian Association for Applied Linguistics.

I attended the launch of the Gender Gap Tracker in Ottawa. This was a fabulous event with Maryam Monsef, Minister for Women and Gender Equality and Dr. Joy Johnson, SFU's VP Research, hosted by Shari Graydon of Informed Opinions.
The Gender Gap Tracker, developed within my lab with Informed Opinions, monitors the proportion of women and men quoted in news stories in mainstream Canadian media (in English).
We had great media coverage for this event. You can check the Conversation piece for an explanation of the tracker, and see all the other media mentions:
- Tracking the gender gap in Canadian media (The Conversation)
- Online tool gives media outlets incentive to achieve gender parity (The Toronto Star)
- SFU partners with Informed Opinions to create Gender Gap Tracker (SFU News)
- In numbers there is strength (Ottawa Citizen and Montreal Gazette)

A video about my research, especially on sentiment analysis.

First publication out of our 'fake news' project:The data challenge in misinformation detection: Source reputation vs. content veracity. Proceedings of the 1st Workshop on Fact Extraction and Verification (FEVER), Conference on Empirical Methods in Natural Language Processing. Brussels. November 2018.

I am Acting Associate Dean in the Faculty of Arts and Social Sciences at SFU.

Brief interview in a Global TV News story about IBM's new debating system.

Story in Business in Vancouver about our lab

I did some radio interviews after my opinion piece on trolls in online news comments:
- CKNW in Vancouver, Charles Adler Tonight
- CHQR in Calgary, Calgary Today with Angela Kokott

Article in The Conversation about our research on online news comments. Trolls, toxicity and construtive conversations.

The Discourse Processing Lab participated in the BCTech Summit. We did demos of two systems: content moderation and fake news detection. Pictures and links to demos on our lab page.

I'm part of a panel discussing the documentary The Cleaners, about content moderation in social media.

SFU News story on our research.

We have just released the SFU Opinion and Comments Corpus (SOCC), and submitted a paper describing it.

Keynote at the BC-TEAL Regional Conference. See a summary of the conference highlights.

Dean's Medal for Academic Excellence!

SFU FASS News story: Katharina Ehret on her research in our lab.

Two new postdocs join the Discourse Processing Lab: Katharina Ehret and Fatemeh Torabi Asr. Welcome!

A few recent papers:
- Constructiveness in news comments at the Workshop on Journalism and NLP in EMNLP 2017
- Underspecification in RST, RST Workshop
- Sentiment and RST in Basque, RST Workshop
- Toxicity in video game chat, Knowledge-Based Systems
Pdfs in the publications page.

As part of a project on evaluating rhetorical structure annotations, we have developed guidelines for annotating relations.

Paper accepted at the Abusive Language Online Workshop:
Kolhatkar, V. and M. Taboada (2017) Constructiveness in news comments. Proceedings of the 1st Abusive Language Online Workshop, 55th Annual Meeting of the Association for Computational Linguistics. Vancouver. August 2017.

I'm teaching a new course in the fall: The Language of Social Media

Call for papers: Special Issue of Computational Linguistics on "Language in Social Media: Exploiting discourse and other contextual information". Deadline: October 15th, 2017.

On Being Negative: Paper with Rada Trnavac and Cliff Goddard in the new journal Corpus Pragmatics

Call for papers for the 6th Workshop on Rhetorical Structure Theory and Related Formalisms. Deadline: June 9, 2017. Please consider submitting a paper!

New website of the Discourse Processing Lab

Varada Kolhatkar joins the Discourse Processing Lab.

Plenary presentation at the International Workshop on Discourse Analysis (IWoDA)

New paper with Farah Benamara and Yannick Mathieu on sentiment analysis, beyond bags of words. To appear in Computational Linguistics. Pre-print available from my publications page.

Tutorial on affect detection and sentiment analysis at IJCAI.

I am hiring a postdoc in corpus/computational linguistics.

I have created a web page and posted a template to facilitate editing tasks in Microsoft Word, especially for linguists.

I am now Associate Editor for the journal Dialogue and Discourse. Please consider submitting relevant work.

Talk at the5th Workshop on RST and Discourse Studies, part of the Conference of the Spanish NLP Society, in Alicante, Spain.

RST Signalling Corpus now available through the LDC.

Plenary at the International Systemic Functional Congress in Aachen, Germany.

Between July and December 2015 I will be on study leave, visiting the Department of English Philology I at the Universidad Complutense de Madrid. If you need a postal address, please get in touch. I'll check my email semi-regularly.

Plenary talk at the Conference of the COST Action TextLink: Structuring Discourse in Multilingual Europe in Louvain-la-Neuve, Belgium.