Lucia C. Passaro
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    • Adapting Language Models with Continual Learning for Temporal Drifts
    • An Experimental Comparison of the Most Popular Approaches to Fake News Detection
    • Challenging the Abilities of Large Language Models in Italian: A Community Initiative
    • Design Pattern-Based Code Refactoring with Llms
    • Emotion Recognition in Multimodal Social Data
    • Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
    • Evaluating Online Moderation via LLM-powered Counterfactual Simulations
    • RAG-enhanced Llms for Interactive Explainability in Clinical Decision Support Systems
    • Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning
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    • Continually Learn to Map Visual Concepts to Language Models in Resource-Constrained Environments
    • Embracing Diversity: A Multi-Perspective Approach with Soft Labels
    • ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
    • Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing
    • Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
    • Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian
    • Challenging Specialized Transformers on Zero-Shot Classification
    • Characterizing Fashion Influencers' Behavior on Instagram
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    • RoBEXedda: Sexism Detection in Tweets
    • Updating Knowledge in Large Language Models: An Empirical Evaluation
    • BureauBERTo: Adapting UmBERTo to the Italian Bureaucratic Language
    • Challenging Specialized Transformers on Zero-Shot Classification
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    • MULTI-fake-DetectiVE at EVALITA 2023: Overview of the Multimodal Fake News Detection and Verification Task
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    • Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset
    • Evaluating Pre-Trained Transformers on Italian Administrative Texts
    • GQA-it: Italian Question Answering on Image Scene Graphs
    • GQA-it: Italian Question Answering on Image Scene Graphs
    • In-Context Annotation of Topic-Oriented Datasets of Fake News: A Case Study on the Notre-Dame Fire Event
    • MATE, a Meta Layer between Natural Language and Database
    • Preface to the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI)
    • Leveraging CLIP for Image Emotion Recognition
    • Preface to the Fifth Workshop on Natural Language for Artificial Intelligence (NL4AI)
    • CAPISCO@CONcreTEXT 2020: (Un)Supervised Systems to Contextualize Concreteness with Norming Data
    • EVALITA 2020: Overview of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
    • EVALITA 2020: Overview of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
    • FRAQUE: A Frame-Based Question-Answering System for the Public Administration Domain
    • Less Is MORE: A MultimOdal System for Tag Refinement
    • Lessons Learned from EVALITA 2020 and Thirteen Years of Evaluation of Italian Language Technology
    • Preface to the EVALITA 2020 Proceedings
    • UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective through the Lens of Transformers
    • Voices of the Great War: A Richly Annotated Corpus of Italian Texts on the First World War
    • Do Idioms Have a Heart? The SIDE (Sentiment of Idiomatic Expressions) Project
    • Text Frame Detector: Slot Filling Based on Domain Knowledge Bases
    • CoreNLP-it: A UD Pipeline for Italian Based on Stanford CoreNLP
    • SemplicePA Semantic Instruments for PubLIc Administrators and CitizEns
    • The Emotions of Abstract Words: A Distributional Semantic Analysis
    • Voci Della Grande Guerra Preserving the Digital Memory of World War I
    • Emo2Val: Inferring Valence Scores from Fine-Grained Emotion Values
    • How to Harvest Word Combinations from Corpora. Methods, Evaluation and Perspectives
    • INFORMed PA: A NER for the Italian Public Administration Domain
    • Learning Affect with Distributional Semantic Models
    • Evaluating Context Selection Strategies to Build Emotive Vector Space Models
    • Exploiting Emotive Features for the Sentiment Polarity Classification of Tweets
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    • Pos-Patterns or Syntax? Comparing Methods for Extracting Word Combinations
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    • ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon
    • ``Il Piave Mormorava...'': Recognizing Locations and Other Named Entities in Italian Texts on the Great War
    • Computational Analysis of Historical Documents: An Application to Italian War Bulletins in World War I and II
    • The CoLing Lab System for Sentiment Polarity Classification of Tweets

An Experimental Comparison of the Most Popular Approaches to Fake News Detection

Jan 1, 2026·
Dell'Oglio, P.
,
Bondielli, A.
,
Marcelloni, F.
,
Passaro, L. C.
DOI
Type
Journal-Article
Publication
INFORMATION SCIENCES
publications
Last updated on Jan 1, 2026
← Adapting Language Models with Continual Learning for Temporal Drifts Jan 1, 2026
Challenging the Abilities of Large Language Models in Italian: A Community Initiative Jan 1, 2026 →

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