Coded news related domains, in json lines in separated files, aggregated coding in aggregated_news_domains.csv, 3976 domains in total.
@article{grinberg2019fake, title={Fake news on Twitter during the 2016 US presidential election}, author={Grinberg, Nir and Joseph, Kenneth and Friedland, Lisa and Swire-Thompson, Briony and Lazer, David}, journal={Science}, volume={363}, number={6425}, pages={374--378}, year={2019}, publisher={American Association for the Advancement of Science} }
- green (reasonable and accountable journalism),
- yellow (low quality journalism),
- orange (negligent or deceptive),
- red (little regard for the truth),
- satire (self-described as satirical and affirmed as such by the annotators), and sites not applicable (for example, Amazon)
- pre-existing lists of fake news domains (black domains)
Collected from mediabiasfactcheck.com in 2019. Domains such as wordpress, google, facebook etc. are excluded.
- left
- center
- leftcenter
- right-center
- pro-science
- right
- fake-news
- satire
- conspiracy
PNAS
@article{scharkow2020social, title={How social network sites and other online intermediaries increase exposure to news}, author={Scharkow, Michael and Mangold, Frank and Stier, Sebastian and Breuer, Johannes}, journal={Proceedings of the National Academy of Sciences}, volume={117}, number={6}, pages={2761--2763}, year={2020}, publisher={National Acad Sciences} }
- Tabloid newspaper
- Public broadcaster
- Quality newspaper/magazine
- Hyperpartisan media
- Digital-born news outlet
- Commercial broadcaster
Sebastian working paper
- commercial broadcaster
- quality newspapers/magazines
- tabloid newspaper
- online only media
- public broadcaster
- Public broadcaster
- Quality newspapers/magazines
- Commercial broadcaster
- Tabloid newspaper
- Online only media
- hyperpartisan news
- Political org/party/NGO
- nan: none news
from opensource.co (type1)
political bias rumor fake unreliable clickbait conspiracy reliable junksci satire hate state