Supplementary Material for 'From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference'

This record contains the Supplementary Material for the manuscript "From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference", submitted to IEEE Transactions on Computational Social Systems. Contents:- Appendix A: Detailed per-fold confusion matrices for BERT, RoBERTa, LLaMA 3, and Mistral- Appendix B: Hyperparameters, training curves, and aggregation strategies - Appendix C: Full list of 669 publishers with NewsGuard reliability scores and political orientation coding The supplementary PDF is referenced in the main manuscript and is provided to comply with the IEEE 10-page limit. It does not contain copyrighted news article texts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20744543
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
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Supplementary Material for 'From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference'

Fabio Pinelli, John Bianchi, Marinella Petrocchi, Manuel Pratelli
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

Supplementary Material for 'From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference'

Fabio Pinelli, John Bianchi, Marinella Petrocchi, Manuel Pratelli
article en

Abstract

This record contains the Supplementary Material for the manuscript "From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference", submitted to IEEE Transactions on Computational Social Systems. Contents:- Appendix A: Detailed per-fold confusion matrices for BERT, RoBERTa, LLaMA 3, and Mistral- Appendix B: Hyperparameters, training curves, and aggregation strategies - Appendix C: Full list of 669 publishers with NewsGuard reliability scores and political orientation coding The supplementary PDF is referenced in the main manuscript and is provided to comply with the IEEE 10-page limit. It does not contain copyrighted news article texts.

Zenodo (CERN European Organization for Nuclear Research)
IMT School for Advanced Studies Lucca (IT)
Quality Education
Openalex Percentile: Top 4%
Topic Modeling
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Supplementary Material for 'From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference' — Fabio Pinelli, John Bianchi, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS