Dr. Tariq Choucair

About
Tariq Choucair is a postdoc at the Digital Media Research Centre (DMRC), Australia. While at the Weizenbaum Institute, he will be working on a project titled "Entities Portrayal and Descriptions in Political Discourses". This project involves advancing a computational framework to analyze how political candidates in Australia and Germany portray various entities during state elections.
Tariq's scientific background is in communication studies, with a focus on online political talk, deep disagreements, and the rights of political minorities. His research often centers on computational methods, such as machine learning, artificial intelligence, and Large Language Models (LLMs), to analyze large datasets of online communication.
Tariq has published his work in various journals, including Information, Communication & Society (forthcoming), Political Studies, The International Journal of Communication, and Political Research Exchange. He is also a co-author of The Deliberative System and Interconnected Media in Times of Uncertainty (Palgrave Macmillan) and a contributor to Research Methods in Deliberative Democracy (Oxford University Press).
Tariq is actively engaged in various projects and collaborations. He is a key member of Professor Axel Bruns' Australian Research Council Laureate Fellowship project, "Determining the Drivers and Dynamics of Partisanship and Polarisation in Online Public Debate," where he co-leads the "Discourse" research stream.
Additionally, he is a Chief Investigator on a project titled "Automatically Identifying References to Social and Identity Groups," in collaboration with QUT Generative AI Lab. Beyond and within his research, Tariq is dedicated to social justice. As a transmasculine person, he is also part of the DMRC Queer Group and focuses on the rights of the transgender communities.
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Fields of Research
Online political talk and deep disagreements, particularly about the rights of political minorities, developing and applying computational methods, including machine learning and artificial intelligence.