Papers by Michele Joshua Maggini

2 papers
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media (2026.eacl-long)

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Challenge: Existing methods for detecting hyperpartisan narratives and PRCTs are limited . hyperpartisan content promotes extreme views through one-sided, emotional language .
Approach: They propose a multilingual dataset of 1617 hyperpartisan news headlines in Spanish, Italian, and Portuguese annotated in multiple political discourse aspects.
Outcome: The proposed dataset is the first multilingual dataset of 1617 hyperpartisan headlines in Spanish, Italian, and Portuguese.
Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization (2026.acl-long)

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Challenge: a new study examines the role of hyperpartisan content in online polarization in the social web.
Approach: They propose a human-supervised parallel corpus for italian hyperpartisan neutralization of 2,475 paragraph pairs.
Outcome: The proposed dataset is the first human-supervised parallel corpus for italian hyperpartisan neutralization of 2,475 paragraph pairs.

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