Developing Audience Insights: What Does It Mean for a Public Broadcaster?
Driven by a desire to better serve their audiences, the adoption of user data management tools is now a firmly established practice for virtually all publishers of online content. In this talk, Stephane Caron (Senior Director of Business Intelligence at Radio-Canada) will present an inside view of Radio-Canada’s ongoing efforts to develop new ways of collecting and analyzing online user behaviour data. Caron’s presentation will provide a unique opportunity to gain insight into the technical and ethical challenges of incorporating emerging data science practices while developing protocols to protect user privacy—all while adhering to Radio-Canada’s public service mandate.
Caron will discuss his team’s work implementing a data management platform, designing predictive models for user behaviour, using machine-learning algorithms, and creating a content recommendation system that encompasses Radio-Canada’s wide range of cultural productions, including their extensive historical archives. Followed by a question-and-answer session, Caron’s talk will explore the connections between ethics and engineering, privacy rights and personalization, and data and design. The presentation will also give students the chance to meet a potential employer and learn how Radio-Canada is extending its mandate in an era of big data, machine learning, and algorithmic recommendation.
This event is organized by the Media History Research Centre and the Algorithmic Media Observatory with the generous support of the Milieux Institute for Arts, Culture and Technology.
For more information, please consult the event website.