Abstract
ABSTRACT This study empirically investigates two controversial Canadian news media outlets in an attempt to detect and analyze “fake news”. Relying on academic and general literature about fact-checking, the main goal of this study is to elaborate on the methodological challenges we faced in detecting and analyzing “fake news”. We discuss our case study which is Global Research and Rebel News as well as the codebooks and sample stories. To understand what kinds of news stories audiences of Global Research and Rebel News engaged with the most, we selected a sample of the top 400 news stories shared on Twitter and Facebook. Findings show that 71% of the top news stories examined contained either some falsehood, misleading, and/or doubtful information, with Global Research being more active in disseminating “fake news” than Rebel News. Audiences were mostly engaged with stories concerning politics, internal order, and human interest stories, with international news garnering more attention than national news stories regarding Canada.
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