2 datasets found
  1. c

    Dataset for "Detection and Discovery of Misinformation Sources using...

    • kilthub.cmu.edu
    txt
    Updated Feb 12, 2024
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    Peter Carragher; Kathleen Carley; Evan Williams (2024). Dataset for "Detection and Discovery of Misinformation Sources using Attributed Webgraphs" [Dataset]. http://doi.org/10.1184/R1/25174193.v1
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    txtAvailable download formats
    Unique identifier
    https://doi.org/10.1184/R1/25174193.v1
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Carnegie Mellon University
    Authors
    Peter Carragher; Kathleen Carley; Evan Williams
    License

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

    Description

    We demonstrate that Search Engine Optimization (SEO) attributes provide strong signals for predicting news site reliability. We introduce a novel attributed webgraph dataset with labeled news domains and their connections to outlinking and backlinking domains. Finally, we introduce and evaluate a novel graph-based algorithm for discovering previously unknown misinformation news sources.

    This dataset is provided courtesy of Ahrefs.com. The associated paper is upcoming at ICWSM 2024.

  2. P

    News SEO Dataset Dataset

    • paperswithcode.com
    Updated Jan 3, 2024
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    (2024). News SEO Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/news-seo-dataset
    Explore at:
    Dataset updated
    Jan 3, 2024
    Description

    Search Engine Optimization (SEO) attributes provide strong signals for predicting news site reliability. We introduce a novel attributed webgraph dataset with labeled news domains and their connections to outlinking and backlinking domains. Finally, we introduce and evaluate a novel graph-based algorithm for discovering previously unknown misinformation news sources.

    This dataset is provided courtesy of Ahrefs.com.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Peter Carragher; Kathleen Carley; Evan Williams (2024). Dataset for "Detection and Discovery of Misinformation Sources using Attributed Webgraphs" [Dataset]. http://doi.org/10.1184/R1/25174193.v1

Dataset for "Detection and Discovery of Misinformation Sources using Attributed Webgraphs"

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
txtAvailable download formats
Unique identifier
https://doi.org/10.1184/R1/25174193.v1
Dataset updated
Feb 12, 2024
Dataset provided by
Carnegie Mellon University
Authors
Peter Carragher; Kathleen Carley; Evan Williams
License

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

Description

We demonstrate that Search Engine Optimization (SEO) attributes provide strong signals for predicting news site reliability. We introduce a novel attributed webgraph dataset with labeled news domains and their connections to outlinking and backlinking domains. Finally, we introduce and evaluate a novel graph-based algorithm for discovering previously unknown misinformation news sources.

This dataset is provided courtesy of Ahrefs.com. The associated paper is upcoming at ICWSM 2024.

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