Giovanni Da San Martino
56 papers · 2013–2026 · 9 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
Jump to papers ↓+14 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (61) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π¬
Deep Specialist
(22)
π€
Dynamic Duo
(37)
π
Keyword Trendsetter Combo
(5)
π§¬
Topic Evolution
π
Keyword Champion
(7)
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
π
Trend Setter
π₯
Unstoppable Β· Silver
β
The Questioner
(2)
π
Conference Pioneer
π
Renaissance Researcher
(6)
π
Century Club Β· Silver
ποΈ
Keyword Collector
(169)
Top co-authors
Research topics
Natural Language Processing
(37)
Applications
(36)
Machine Learning
(26)
Artificial Intelligence
(19)
Core Methods
(18)
Core AI
(17)
Learning Types
(11)
Resources & Methods
(10)
Interdisciplinary
(7)
Understanding
(7)
Deep Learning
(6)
Social
(6)
Application Areas
(5)
Data Science & Analytics
(4)
Architectures
(4)
Keywords
text classification
(25)
propaganda detection
(15)
disinformation detection
(9)
persuasion detection
(7)
news analysis
(6)
social media
(6)
multimodal learning
(5)
misinformation detection
(4)
tree kernel
(4)
community question answering
(4)
large language model
(3)
multi-label classification
(3)
persuasion technique
(3)
multilingual nlp
(3)
named entity recognition
(3)
information extraction
(3)
persuasion technique detection
(3)
fake news detection
(3)
text mining
(2)
intent classification
(2)
Papers
Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences
ACL 2026
CritiSense: Critical Digital Literacy and Resilience Against Misinformation
ACL 2026
Detecting Winning Arguments with Large Language Models and Persuasion Strategies
EACL 2026
MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
EACL 2026
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
ACL 2025
Entity Framing and Role Portrayal in the News
ACL 2025
Insights into using temporal coordinated behaviour to explore connections between social media posts and influence
EMNLP 2025
NarratEX Dataset: Explaining the Dominant Narratives in News Texts
EMNLP 2025
PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
ACL 2025
PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles
ACL 2025
PropXplain: Can LLMs Enable Explainable Propaganda Detection?
EMNLP 2025
SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News
SemEval 2025
FRAPPE: FRAming, Persuasion, and Propaganda Explorer
EACL 2024
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation
EMNLP 2024
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
SemEval 2024
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
EMNLP 2023
Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques
ACL 2023
SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup
SemEval 2023
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
EMNLP 2022
A Survey on Multimodal Disinformation Detection
COLING 2022
Detecting and Understanding Harmful Memes: A Survey
IJCAI 2022
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
EMNLP 2022
The Role of Context in Detecting Previously Fact-Checked Claims
NAACL 2022
Automated Fact-Checking for Assisting Human Fact-Checkers
IJCAI 2021
Detecting Propaganda Techniques in Memes
ACL 2021
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
EMNLP 2021
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
NAACL 2021
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
SemEval 2021
A Survey on Computational Propaganda Detection
IJCAI 2020
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
EMNLP 2020
Prta: A System to Support the Analysis of Propaganda Techniques in the News
ACL 2020
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
SemEval 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
ACL 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
EMNLP 2020
Efficient Online Learning for Mapping Kernels on Linguistic Structures
AAAI 2019
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
EMNLP 2019
Fine-Grained Analysis of Propaganda in News Articles
EMNLP 2019
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
EMNLP 2019
Proppy: A System to Unmask Propaganda in Online News
AAAI 2019
Tanbih: Get To Know What You Are Reading
EMNLP 2019
Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News
SemEval 2019
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
SemEval 2019
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
ACL 2018
KELP: a Kernel-based Learning Platform
JMLR 2018
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
SemEval 2017
The Impact of Modeling Overall Argumentation with Tree Kernels
EMNLP 2017
An Interactive System for Exploring Community Question Answering Forums
COLING 2016
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
SemEval 2016
Neural Attention for Learning to Rank Questions in Community Question Answering
COLING 2016
QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification
SemEval 2016
Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
COLING 2016
Global Thread-level Inference for Comment Classification in Community Question Answering
EMNLP 2015
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
SemEval 2015
Structural Representations for Learning Relations between Pairs of Texts
ACL 2015
Thread-Level Information for Comment Classification in Community Question Answering
ACL 2015
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget
IJCAI 2013