Publications of the Discourse Processing Lab

• 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.
  
• 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.
• 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.
• 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.
• 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.
• Ehret, K. and M. Taboada (2021) The interplay of complexity and subjectivity in opinionated discourse. Discourse Studies 23(2): 141-165.
  
• Jiménez-Zafra, S., N. Cruz-Díaz, M. Taboada and M. Martín-Valdivia (2021) Negation detection for sentiment analysis: A case study in Spanish. Natural Language Engineering 27: 225-248.
• Gómez-González, MLA and M. Taboada (2021) Concession strategies in online newspaper comments. Journal of Pragmatics 174: 96-116.
• 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 5: 155-190.
  
• 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.
• 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. A video abstract is also available for this paper.
• Benamara, F., D. Inkpen and M. Taboada (2018) Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information. Computational Linguistics 44(4):663-681.
  
• Asr, F. T. and M. Taboada (2018) The data challenge in misinformation detection: Source reputation vs. content veracity. Proceedings of the 1^st Workshop on Fact Extraction and Verification (FEVER), Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium. November 2018.
• Kolhatkar, V. and M. Taboada (2018) A corpus for the analysis of online comments. Widening NLP Workshop, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics. New Orleans. June 2018. Poster.
  
• Kolhatkar. V. and M. Taboada (2017) Using New York Times Picks to identify constructive comments. Proceedings of the Workshop Natural Language Processing Meets Journalism, Conference on Empirical Methods in Natural Language Processing. Copenhagen. September 2017.
  
• 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, pp. 11-17. Presentation slides.
  
• Cavasso, L, J. Fest, E. Francis, V. Kolhatkar, M. Taboada and H. Wu (2017) The language of online commentary: Extracting information from online news comments. Poster presentation. Cognitive Science Symposium. SFU. April 2017.

Older publications can be downloaded from Maite Taboada's page.

You can also check out our GitHub page.

Conference presentations

• Taboada, M. (2022) Metaphors we hate by. 5th Conference of the American Association for Pragmatics (AMPRA). University of South Carolina. November 2022. (Keynote presentation).
• Taboada, M. (2022) All about comments: A multifaceted approach to digital discourse analysis. 3rd Approaches to Digital Discourse Analysis Conference. St. Petersburg, Florida. May 2022. (Plenary presentation).
• Taboada, M. (2021) The language of harmful online content. Language Sciences Undergraduate Research Conference. University of British Columbia (online). February 2021. (Plenary presentation).
• Taboada, M. (2020) Natural Language Processing to manage harmful content online. CORE, International Computer Science Congress. Mexico City (online). December 2020. (Plenary presentation).
• Taboada, M. (2020) Rhetorical relations in discourse and in cognition. Abralin ao Vivo (online). June 2020.
• Taboada, M. (2020) Closing the media gender gap with big data. Women in Data Science. Vancouver, BC. March 2020. (Keynote presentation).
• Taboada, M. (2019) Managing comments and misinformation online with text classification techniques. 32nd Canadian Conference on Artificial Intelligence. Kingston, Ontario. May 2019. (Plenary presentation).
• Taboada, M. (2019) Fantastic online comments and how to find them. 11th International Corpus Linguistics Conference. Valencia, Spain. May 2019. (Plenary presentation).
• Ehret, K. and M. Taboada (2019) Variational dimensions of online comments: exploring a new register. ICLAVE 10, International Conference on Language Variation in Europe. Leeuwarden, Netherlands. June 2019.
• 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. Vancouver. June 2019.
• 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. Vancouver. June 2019.
• Goddard, C., M. Taboada and R. Trnavac (2018) Hilariously ridiculous and other adverb-adjective combinations: Classification and frequency distribution across registers. 4th Meeting of the American Pragmatics Association. Albany, NY. November 2018.
• Ehret, K. and M. Taboada (2018) Are online comments like conversations? A multi-dimensional exploration of online news comments. 4th Meeting of the American Pragmatics Association. Albany, NY. November 2018.
• Kolhatkar, V. and M. Taboada (2018) A corpus for the analysis of online news comments. 2nd Workshop on Widening Natural Language Processing (WiNLP). New Orleans, LA. June 2018.

Other presentations/Posters

• Gautam, V. and M. Taboada (2019) Automatic comment moderation: topics and toxicity in online news. SFU Linguistics. April 2019.
  
• Taboada, M. (2019) Citizen trust in the disinformation age. Big Data Visionaries Panel. Vancouver. April 2019.
  
• Taboada (2019) The Gender Gap Tracker. KEY: SFU’s Big Data Initiative. Vancouver. March 2019.
• Taboada, M. (2019) Misinformation managed: How to have healthy conversations online. Language Sciences, University of British Columbia. March 2019.
  
• Taboada, M. (2019) Fantastic online comments and how to find them. National Research Council, Ottawa. February 2019.
  
• Taboada, M. and V. Gautam (2018) Content moderation in social media. Public discourse and data science symposium, Simon Fraser University. October 2018.
  
• Taboada, M. (2018) Sentiment analysis and moderation for social media data. Sauder School of Business, University of British Columbia. September 2018.
  
• Taboada, M. (2018) Fantastic online comments and how to find them. iSchool@UBC, University of British Columbia. June 2018.
  
• Demos of two systems created by the Discourse Processing Lab: comment moderation and fake news detection. BCTech Summit, Vancouver. May 2018.
  
• Taboada, M. (2018) Fantastic online comments and how to find them. Department of Linguistics, Georgetown University. April 2018.
  
• Taboada, M. (2017) Discourse relations, discourse markers, and the interpretation of evaluation. Department of Linguistics, University of British Columbia. June 2018.
  
• Cavasso, L, J. Fest, E. Francis, V. Kolhatkar, M. Taboada and H. Wu (2017) The language of online commentary: Extracting information from online news comments. Cognitive Science Symposium, Simon Fraser University. June 2017.
  
• Taboada, M. (2017) Sentiment analysis and online content: How to make sense of too much information. iSchool@UBC, University of British Columbia. March 2017.