Automated Journalism (335-0-70)

Instructors

Eddy Leonardo Borges-Rey

Meeting Info

Northwestern Qatar Room 2-257: Mon, Tues, Wed, Su 2:30PM - 4:30PM (AST)

Overview of class

Automated Journalism is a practical course that teaches students how to engage critically with automated forms of news work. This course seeks to examine the various ways in which automated systems - bots, neural networks, ranking and predictive algorithms, web metrics and dashboards, alert systems, Natural Language Generation platforms, machine-learning-driven moderation, business intelligence, etc. - are fostering new approaches in journalism practice. By looking at the case study of Generative AI, the course examines both the possibilities and limitations of this new model in journalism, with a strong emphasis on the importance of critical thinking and the need for robust fact-checking and verification practices when using these technologies.

Registration Requirements

Prerequisites: JOUR 202-0

Open to sophomores and above

Enrollment Requirements

Enrollment Requirements: NUQ: Students who have completed Jour 202-0, sophomores and above NUQ: Students who have completed Jour 202-0, sophomores and above