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Webis-News-Bias-20

<p>This is the dataset used in the paper &quot;<a href="https://webis.de/publications.html#chen_2020b">Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.</a>&quot;</p> <p>The news articles are stored in json format, one news each line. For each news, there are following fields:</p> <p>&nbsp;- title: the title of the news<br> &nbsp;- content: the content of the news<br> &nbsp;- source: the news portal<br> &nbsp;- allsides_bias: the bias indicated in the allsides.com (left, center, or right)<br> &nbsp;- misc: other information, such as author, date, and topics<br> &nbsp;- adfontes_fair: the labels from adfontesmedia.com, whehter the article is fair or not (bias, neutral, or unknown)<br> &nbsp;- adfontes_political: the labels from adfontesmedia.com, whether the article is political bias or not (bias, neutral, or unknown)<br> &nbsp;- event_id: the event id. Articles with the same event have the same id</p> <p>&nbsp;</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