Michele Joshua Maggini
4 papers · 2024–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Keywords
text classification
(2)
direct preference optimization
(1)
stance detection
(1)
multilingual nlp
(1)
in-context learning
(1)
parallel corpus
(1)
bias detection
(1)
fine-grained classification
(1)
machine learning
(1)
language model
(1)
sequence-to-sequence model
(1)
climate change
(1)
political discourse
(1)
large language model
(1)
conspiracy theories
(1)
hyperpartisan detection
(1)
rhetorical bias detection
(1)
climate journalism
(1)
rhetorical bia
(1)
hyperpartisan narrative
(1)
Papers
Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization
ACL 2026
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media
EACL 2026
Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset
ACL 2025
Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
ICML 2024