The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias
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Computer Science > Computation and Language
arXiv:2412.02271 (cs)
[Submitted on 3 Dec 2024 (v1), last revised 15 May 2026 (this version, v5)]
Title:The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias
View a PDF of the paper titled The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias, by Preetika Verma and Kokil Jaidka
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Abstract:We present MediaSpin, a large-scale language resource capturing how major news outlets modify headlines after publication, and MediaSpin-in-the-Wild, a complementary dataset linking these revised headlines to their downstream engagement on social media. The increasing editability of online news headlines offers new opportunities to study linguistic framing and bias through the lens of editorial revisions. The dataset contains 78,910 headline pairs annotated for 13 types of media bias, grounded in established media-bias taxonomies, covering both subjective (e.g., sensationalism, spin) and objective (e.g., omission, slant) forms, with annotation conducted through a human-supervised large-language-model pipeline with expert validation and quality control. We describe the annotation schema and demonstrate three downstream applications: (1) cross-national analysis of how country references are added or removed during editing, (2) transformer-based bias classification at both binary and fine-grained levels, and (3) behavioral analysis of biased headlines on X (Twitter) using 180,786 news-related tweets from 819 consenting users. The results reveal regional asymmetries in representational framing, measurable linguistic markers, and consistently higher engagement with biased content. MediaSpin and MediaSpin-in-the-Wild together provide a reproducible benchmark for bias detection and the study of editorial and behavioral dynamics in contemporary media ecosystems.
| Comments: | 8 pages, 3 figures, 8 tables Accepted at AAAI ICWSM 2026 We updated the paper title from "MediaSpin: Exploring Media Bias Through Fine-Grained Analysis of News Headlines " to "The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias" |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2412.02271 [cs.CL] |
| (or arXiv:2412.02271v5 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2412.02271
arXiv-issued DOI via DataCite
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Submission history
From: Kokil Jaidka [view email][v1] Tue, 3 Dec 2024 08:41:13 UTC (1,245 KB)
[v2] Fri, 23 May 2025 03:07:31 UTC (354 KB)
[v3] Sun, 22 Mar 2026 03:22:29 UTC (672 KB)
[v4] Mon, 20 Apr 2026 03:48:33 UTC (678 KB)
[v5] Fri, 15 May 2026 03:48:04 UTC (711 KB)
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