Webis-News-Bias-20
<p>This is the dataset used in the paper "<a href="https://webis.de/publications.html#chen_2020b">Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.</a>"</p> <p>The news articles are stored in json format, one news each line. For each news, there are following fields:</p> <p> - title: the title of the news<br> - content: the content of the news<br> - source: the news portal<br> - allsides_bias: the bias indicated in the allsides.com (left, center, or right)<br> - misc: other information, such as author, date, and topics<br> - adfontes_fair: the labels from adfontesmedia.com, whehter the article is fair or not (bias, neutral, or unknown)<br> - adfontes_political: the labels from adfontesmedia.com, whether the article is political bias or not (bias, neutral, or unknown)<br> - event_id: the event id. Articles with the same event have the same id</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0