Plenary Speakers


Anna De Fina

Georgetown University

Anna De Fina is Professor of Italian Language and Linguistics in the Italian Department and affiliated faculty with the Linguistics Department at Georgetown University. Her interests and publications focus on discourse and narrative, identity, chronotopes, migration and super diversity. She has published extensively on these topics including many articles and 11 volumes between authored and edited books. She is one of the editors of the book series Encounters for Multilingual Matters and Discourse, Narrative and Interaction for Routledge. Her latest publication is the Cambridge Handbook of Discourse Studies, coedited with Alexandra Georgakopoulou (2020, Cambridge University Press).

Elaine Chun

University of South Carolina

Elaine Wonhee Chun is an associate professor of English and Linguistics at the University of South Carolina. Her sociolinguistic research examines language practices in new media and face-to-face contexts as well as ideologies of language, race, and racism in the United States. Drawing on methods of interactional and corpus analysis, she has investigated social media discourses about racist language, representations of Asian speakers in popular media, language play among multiethnic youth, and linguistic hybridity in transnational digital spaces. Her work has appeared in Language in Society, Journal of Linguistic Anthropology, Applied Linguistics, Pragmatics, Language & Communication, Discourse & Society, and American Speech as well as various edited volumes.

Maite Taboada

Simon Fraser University

[email protected]

Maite Taboada is Professor in the Department of Linguistics and Associate Member of the Cognitive Science Program and the School of Computing Science at Simon Fraser University in Canada. She is a linguist working at the intersection of discourse analysis and computational linguistics. In discourse analysis, her research addresses the mechanisms for coherence in discourse, focusing on how links across sentences produce the impression of coherence in text and speech. In computational linguistics, she develops methods and algorithms to process and exploit discourse structure in different applications, especially for sentiment analysis. Current research projects involve analyses of online comments, with the goal of building a moderation platform to feature constructive comments more prominently; and a study of the language of misinformation, using text classification techniques to distinguish ‘fake’ and fact-based news stories. Her lab, the Discourse Processing Lab at SFU is also collaborating with the non-profit Informed Opinions. Together, they have built the Gender Gap Tracker, an online tool to track the number of men and women quoted in Canadian mainstream news media. 

Web page: https://www.sfu.ca/~mtaboada/ 

Twitter: @maite_taboada