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Giovanni Da San Martino

17 accepted papers

2025

Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection

Davide Bassi, Dimitar Iliyanov Dimitrov, Bernardo D’Auria, Firoj Alam, Maram Hasanain, Christian Moro +4
ACL 2025finding

Persuasion (or propaganda) techniques detection is a relatively novel task in Natural Language Processing (NLP). While there have already been a number of annotation campaigns, they have been based on heuristic guidelines, which have never been thoroughly discussed. Here, we present the first system…

Cited by 4Source ↗PDF ↗Scholar ↗
2025

Entity Framing and Role Portrayal in the News

Tarek Mahmoud, Zhuohan Xie, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Purificação Silvano, Roman Yangarber +6
ACL 2025finding

We introduce a novel multilingual and hierarchical corpus annotated for entity framing and role portrayal in news articles. The dataset uses a unique taxonomy inspired by storytelling elements, comprising 22 fine-grained roles, or archetypes, nested within three main categories: protagonist, antagon…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

Insights into using temporal coordinated behaviour to explore connections between social media posts and influence

Elisa Sartori, Serena Tardelli, Maurizio Tesconi, Mauro Conti, Alessandro Galeazzi, Stefano Cresci +1
EMNLP 2025

Political campaigns increasingly rely on targeted strategies to influence voters on social media. Often, such campaigns have been studied by analysing coordinated behaviour to identify communities of users who exhibit similar patterns. While these analyses are typically conducted on static networks,

Cited by 0Source ↗PDF ↗Scholar ↗
2025

NarratEX Dataset: Explaining the Dominant Narratives in News Texts

Nuno Guimar{\~a}es, Purifica{\c{c}}{\~a}o Silvano, Ricardo Campos, Alipio Jorge, Ana Filipa Pacheco, Dimitar Iliyanov Dimitrov +7
EMNLP 2025

We present NarratEX, a dataset designed for the task of explaining the choice of the Dominant Narrative in a news article, and intended to support the research community in addressing challenges such as discourse polarization and propaganda detection. Our dataset comprises 1,056 news articles in fou

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2025

PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation

Arkadiusz Modzelewski, Witold Sosnowski, Tiziano Labruna, Adam Wierzbicki, Giovanni Da San Martino
ACL 2025long

Disinformation detection is a key aspect of media literacy. Psychological studies have shown that knowledge of persuasive fallacies helps individuals detect disinformation. Inspired by these findings, we experimented with large language models (LLMs) to test whether infusing persuasion knowledge enh…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2025

PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles

Nikolaos Nikolaidis, Nicolas Stefanovitch, Purificação Silvano, Dimitar Iliyanov Dimitrov, Roman Yangarber, Nuno Guimarães +5
ACL 2025long

We present polyNarrative, a new multilingual dataset of news articles, annotated for narratives. Narratives are overt or implicit claims, recurring across articles and languages, promoting a specific interpretation or viewpoint on an ongoing topic, often propagating mis/disinformation. We developed…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2025

PropXplain: Can LLMs Enable Explainable Propaganda Detection?

Maram Hasanain, Md Arid Hasan, Mohamed Bayan Kmainasi, Elisa Sartori, Ali Ezzat Shahroor, Giovanni Da San Martino +1
EMNLP 2025

There has been significant research on propagandistic content detection across different modalities and languages. However, most studies have primarily focused on detection, with little attention given to explanations justifying the predicted label. This is largely due to the lack of resources that

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2024

MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation

Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki
EMNLP 2024main

This study presents a novel corpus of 15,356 Polish web articles, including articles identified as containing disinformation. Our dataset enables a multifaceted understanding of disinformation. We present a distinctive multilayered methodology for annotating disinformation in texts. What sets our co…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2023

Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques

Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov
ACL 2023long

We present a new multilingual multifacet dataset of news articles, each annotated for genre (objective news reporting vs. opinion vs. satire), framing (what key aspects are highlighted), and persuasion techniques (logical fallacies, emotional appeals, ad hominem attacks, etc.). The persuasion techni…

Cited by 33Source ↗PDF ↗Scholar ↗
2022

A Survey on Multimodal Disinformation Detection

Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino +3
COLING 2022main

Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. While initially this was mostly about textual content, over time images and videos gained popularity, as they are much easier to consume, attract more attentio…

Cited by 156Source ↗PDF ↗Scholar ↗
2022

Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document

Shaden Shaar, Nikola Georgiev, Firoj Alam, Giovanni Da San Martino, Aisha Mohamed, Preslav Nakov
EMNLP 2022finding

Given the recent proliferation of false claims online, there has been a lot of manual fact-checking effort. As this is very time-consuming, human fact-checkers can benefit from tools that can support them and make them more efficient. Here, we focus on building a system that could provide such suppo…

Cited by 36Source ↗PDF ↗code ↗Scholar ↗
2022

Detecting and Understanding Harmful Memes: A Survey

Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz +4
IJCAI 2022poster

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content often combines multiple modalities, as in the case of memes.…

Cited by 71Source ↗PDF ↗code ↗Scholar ↗
2022

The Role of Context in Detecting Previously Fact-Checked Claims

Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov
NAACL 2022findings

Recent years have seen the proliferation of disinformation and fake news online. Traditional approaches to mitigate these issues is to use manual or automatic fact-checking. Recently, another approach has emerged: checking whether the input claim has previously been fact-checked, which can be done a…

Cited by 42Source ↗PDF ↗code ↗Scholar ↗
2021

Automated Fact-Checking for Assisting Human Fact-Checkers

Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño +3
IJCAI 2021poster

The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cable…

Cited by 281Source ↗PDF ↗Scholar ↗
2021

Detecting Propaganda Techniques in Memes

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz +2
ACL 2021long

Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined rhetorical and psychological devices. Propaganda, in the form we know it today, can be dated back to the beginning of t…

Cited by 102Source ↗PDF ↗code ↗Scholar ↗
2021

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak +11
EMNLP 2021finding

With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first global infodemic. Fighting this infodemic has been declared one of the most important focus areas of the World Health Organ…

Cited by 194Source ↗PDF ↗code ↗Scholar ↗
2020

A Survey on Computational Propaganda Detection

Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
IJCAI 2020poster

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts, to reach million…

Cited by 0Source ↗PDF ↗Scholar ↗