3 datasets found
  1. W

    Webis-News-Bias-20

    • webis.de
    • anthology.aicmu.ac.cn
    8321585
    Updated 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Khalid Al-Khatib; Henning Wachsmuth; Benno Stein (2020). Webis-News-Bias-20 [Dataset]. http://doi.org/10.5281/zenodo.8321585
    Explore at:
    8321585Available download formats
    Dataset updated
    2020
    Dataset provided by
    Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    University of Groningen
    Leibniz Universität Hannover
    Authors
    Khalid Al-Khatib; Henning Wachsmuth; Benno Stein
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Webis-News-Bias-20 dataset is an a corpus with 6964 news articles, each of which is labeled for its topic, political bias, and unfairness.

  2. Webis-News-Bias-20

    • zenodo.org
    bin, zip
    Updated Sep 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wei-Fan Chen; Wei-Fan Chen; Khalid Al-Khatib; Khalid Al-Khatib; Henning Wachsmuth; Henning Wachsmuth; Benno Stein; Benno Stein (2023). Webis-News-Bias-20 [Dataset]. http://doi.org/10.5281/zenodo.8321586
    Explore at:
    bin, zipAvailable download formats
    Dataset updated
    Sep 6, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Wei-Fan Chen; Wei-Fan Chen; Khalid Al-Khatib; Khalid Al-Khatib; Henning Wachsmuth; Henning Wachsmuth; Benno Stein; Benno Stein
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the dataset used in the paper "Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity."

    The news articles are stored in json format, one news each line. For each news, there are following fields:

    - title: the title of the news
    - content: the content of the news
    - source: the news portal
    - allsides_bias: the bias indicated in the allsides.com (left, center, or right)
    - misc: other information, such as author, date, and topics
    - adfontes_fair: the labels from adfontesmedia.com, whehter the article is fair or not (bias, neutral, or unknown)
    - adfontes_political: the labels from adfontesmedia.com, whether the article is political bias or not (bias, neutral, or unknown)
    - event_id: the event id. Articles with the same event have the same id

  3. Leading news websites in the U.S. 2023, by monthly visits

    • statista.com
    Updated Feb 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Leading news websites in the U.S. 2023, by monthly visits [Dataset]. https://www.statista.com/statistics/381569/leading-news-and-media-sites-usa-by-share-of-visits/
    Explore at:
    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    United States
    Description

    In December 2023, the news website with the most monthly visits in the United States was the New York Times' website, with a total of 464.4 million monthly visits to nytimes.com in that month. In second place was cnn.com with close to 375 million visits, followed by foxnews.com with just over 260 million.

    Online news consumption in the U.S.

    Americans get their news in a variety of ways, but social media is an increasingly popular option. A survey on social media news consumption revealed that 55 percent of Twitter users regularly used the site for news, and Facebook and Reddit were also popular for news among their users. Interestingly though, social media is the least trusted news sources in the United States.

    News and trust

    Trust in news sources has become increasingly important to the American news consumer amidst the spread of fake news, and the public are more vocal about whether or not they have faith in a source to report news correctly. Ongoing discussions about the credibility, accuracy and bias of news networks, anchors, TV show hosts, and news media professionals mean that those looking to keep up to date tend to be more cautious than ever before. In general, news audiences are skeptical. In 2020, just nine percent of respondents to a survey investigating the perceived objectivity of the mass media reported having a great deal of trust in the media to report news fully, accurately, and fairly.

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Khalid Al-Khatib; Henning Wachsmuth; Benno Stein (2020). Webis-News-Bias-20 [Dataset]. http://doi.org/10.5281/zenodo.8321585

Webis-News-Bias-20

Explore at:
8321585Available download formats
Dataset updated
2020
Dataset provided by
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
University of Groningen
Leibniz Universität Hannover
Authors
Khalid Al-Khatib; Henning Wachsmuth; Benno Stein
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The Webis-News-Bias-20 dataset is an a corpus with 6964 news articles, each of which is labeled for its topic, political bias, and unfairness.

Search
Clear search
Close search
Google apps
Main menu