The next session at the ICA 2024 conference starts with a paper that my QUT Digital Media Research Centre colleague Dan Angus and I are presenting, so I’ll blog Dan’s part and then leave it to our slides to explain my contribution. Our work is part of a large project that investigates the dissemination of problematic, ‘fake news’ content on social media platforms.
We approached this by constructing a masterlist of some 2,300 problematic information domains which have been identified in past research, with a focus mostly on the United States, and building a research stack around that seed list. That stack drew on that list to gather public posts from Facebook’s CrowdTangle data service between 2016 and 2022 (some 42 million of them, from around 918,000 public pages and groups); identify the 1,000 most prominent pages and groups sharing problematic information; gather all of their posts during these years, independent of whether they contained problematic information or not (some 70 million from the 953 still available public pages and groups); and examine – through topic modelling and practice mapping – what else they talked about.
Slides are here, and more live-blogging below: