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Coded news related domains, in json lines: | ||
Coded news related domains, in json lines in separated files, aggregated coding in aggregated_news_domains.csv, 3976 domains in total. | ||
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# twitter_fake_newsdomains | ||
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@@ -40,6 +40,67 @@ Domains such as wordpress, google, facebook etc. are excluded. | |
- satire | ||
- conspiracy | ||
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Contact: [email protected] | ||
# domaincodes_final | ||
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## source: | ||
PNAS | ||
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@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} | ||
} | ||
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## categories: | ||
- Tabloid newspaper | ||
- Public broadcaster | ||
- Quality newspaper/magazine | ||
- Hyperpartisan media | ||
- Digital-born news outlet | ||
- Commercial broadcaster | ||
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# german_newsdomain_coding | ||
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## source | ||
Sebastian working paper | ||
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## categories | ||
- 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 | ||
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## opensource | ||
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## source | ||
from opensource.co (type1) | ||
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## categories | ||
political | ||
bias | ||
rumor | ||
fake | ||
unreliable | ||
clickbait | ||
conspiracy | ||
reliable | ||
junksci | ||
satire | ||
hate | ||
state |
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