Papers by Giovanni Da San Martino
A Survey on Multimodal Disinformation Detection (2022.coling-1)
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Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov
| Challenge: | Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. |
| Approach: | They propose to tackle online multimodal offensive content using different modalities and combinations thereof. |
| Outcome: | The proposed approach combines factuality and harmfulness in a framework that can be used for multiple modalities and combinations of modality. |
Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences (2026.acl-long)
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| Challenge: | Large Language Models (LLMs) can generate highly persuasive text, raising concerns about misuse for propaganda, manipulation, and other harmful purposes. |
| Approach: | They propose a multilingual benchmark to compare LLM-generated persuasive texts with human-written ones. |
| Outcome: | The proposed benchmark compares human-authored and LLM-generated persuasive texts . it finds that overtly persuasive LLMs are easier to detect than human-written ones . |