Our research goal is to understand how Canadians use digital technologies to engage with literature and interact with each other.
Our digital humanities research methods combine traditional literary scholarship with computational methods to analyze online discourse about Canadian literature.
A gentle introduction to how we use Topic Modeling to analyze Twitter data.
As we frame our questions about who is discussing Canadian books in online spaces, we thought it would be useful to highlight some of the numbers that shape the conversation:Of the 8,687 Twitter users who write about Canada Reads, the vast majority tweet about the program a single time. Approximately 2,900 users post multiple times […]
“What do a tornado hunter, an actor, a fashion icon, a TV host, and a singer have in common? They’re the panellists for Canada Reads 2018” (CBC Books). With this statement, the CBC officially introduced the contenders for the 2018 season of Canada Reads. The panellists and their chosen books included: Mozhdah Jamalzadah, defending The […]
What is the #DiverseCanLit hashtag and how does it intersect with more general discussions of Canadian literature online?