Computer Science > Artificial Intelligence
arXiv:2410.17655 (cs)
[Submitted on 23 Oct 2024]
Title:Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions
View a PDF of the paper titled Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions, by Dairazalia S\'anchez-Cort\'es and 3 other authors
View PDFHTML (experimental)Abstract:Bias assessment of news sources is paramount for professionals, organizations, and researchers who rely on truthful evidence for information gathering and reporting. While certain bias indicators are discernible from content analysis, descriptors like political bias and fake news pose greater challenges. In this paper, we propose an extension to a recently presented news media reliability estimation method that focuses on modeling outlets and their longitudinal web interactions. Concretely, we assess the classification performance of four reinforcement learning strategies on a large news media hyperlink graph. Our experiments, targeting two challenging bias descriptors, factual reporting and political bias, showed a significant performance improvement at the source media level. Additionally, we validate our methods on the CLEF 2023 CheckThat! Lab challenge, outperforming the reported results in both, F1-score and the official MAE metric. Furthermore, we contribute by releasing the largest annotated dataset of news source media, categorized with factual reporting and political bias labels. Our findings suggest that profiling news media sources based on their hyperlink interactions over time is feasible, offering a bird's-eye view of evolving media landscapes.
| Comments: | Accepted to CLEF 2024 |
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG) |
| Cite as: | arXiv:2410.17655 [cs.AI] |
| (orarXiv:2410.17655v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2410.17655 arXiv-issued DOI via DataCite | |
| Related DOI: | https://doi.org/10.1007/978-3-031-71736-9_7 DOI(s) linking to related resources |
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View a PDF of the paper titled Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions, by Dairazalia S\'anchez-Cort\'es and 3 other authors
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