Carnegie Mellon University
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filtered_backlinks.csv (1.51 MB)
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filtered_outlinks.csv (1.3 MB)
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Dataset for "Detection and Discovery of Misinformation Sources using Attributed Webgraphs"

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posted on 2024-02-12, 18:44 authored by Peter CarragherPeter Carragher, Kathleen CarleyKathleen Carley, Evan Williams

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.

Funding

Scalable Tools for Social Media Assessment.

United States Department of the Navy

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Publisher Statement

Carragher, P., Williams, E., & Carley, K. (2024). Detection and Discovery of Misinformation Sources using Attributed Webgraphs. arXiv preprint arXiv:2401.02379.

Date

2024-02-07

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    Keywords

    misinformationunreliable newswebgraphsearch engine optimizationseo

    Licence

    CC BY 4.0

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