What is this?
Recent posts from sources where the majority of shared articles aligned "very liberal" (blue, on the left) and "very conservative" (red, on the right) in a large Facebook study.
In 2015, the journal Science published a research paper by Facebook scientists (Bakshy, Eytan; Messing, Solomon; Adamic, Lada, 2015, "Replication Data for: Exposure to Ideologically Diverse News and Opinion on Facebook",http://dx.doi.org/10.7910/DVN/LDJ7MS, Harvard Dataverse, V2) which looked at how a subset of the social network's users reacted to the news appearing in their feeds.
For six months, Facebook tracked and analyzed the content shared by 10.1 million of its users (who were anonymized). These users had identified their political views in their own profiles on Facebook. Analyzing these users' political labels, the researchers categorized each as very liberal, liberal, neutral, conservative or very conservative. The researchers also produced a list of the top 500 sources of content tracked in the study.
Havard: Replication Data for: Exposure to Ideologically Diverse News and Opinion on Facebook
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LDJ7MS
Replication Data for: Exposure to Ideologically Diverse News and Opinion on Facebook.
This archive includes:
- R analysis code and aggregate data for deriving the main results (e.g., Table S5, S6)
- Python code and dictionaries for training and testing the hard-soft news classifier
- Aggregate summary statistics of the distribution of ideological homophily in networks.
- Aggregate summary statistics of the distribution of ideological alignment for hard content shared by the top 500 most shared websites.
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