Machine Learning the Facebook URLs Dataset to Study News Credibility, with Dr. Tom Paskhalis
Social Media and Politics
English - August 21, 2022 07:00 - 42 minutes - 39.2 MB - ★★★★★ - 24 ratingsGovernment Science Social Sciences social media social networks politics political science digital marketing media communication democracy facebook Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Dr. Tom Paskhalis, Assistant Professor in Political and Data Science at Trinity College Dublin, shares his research on applying machine learning to the Facebook URLs Dataset from Social Science One. The project develops a model to label whether a news domain is credible or not based on Facebook interactions data. We discuss the Facebook URLs dataset, what types of machine learning techniques were applied to it, and how the model performed across the US and EU countries.