Papers by Shaden Shaar
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. |
Cross-lingual Emotion Detection (2022.lrec-1)
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| Challenge: | Emotion detection is a useful tool for understanding human behavior, but constructing annotated datasets to train models can be expensive. |
| Approach: | They propose to use English as the source language with Arabic and Spanish as target languages to train models for emotion detection in a target language. |
| Outcome: | The proposed approaches surpass state-of-the-art models in Arabic and Spanish by 4% and 5% respectively. |
Detecting Propaganda Techniques in Memes (2021.acl-long)
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Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
| Challenge: | Propaganda can be defined as a form of communication that aims to influence opinions or the actions of people towards a specific goal. |
| Approach: | They propose to detect the type of propaganda techniques used in memes by annotating them with 22 techniques. |
| Outcome: | The proposed model identifies 22 propaganda techniques in memes, which can appear in text, image or both . |
Prta: A System to Support the Analysis of Propaganda Techniques in the News (2020.acl-demos)
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Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov
| Challenge: | recent events have brought the public attention to the dangers of online disinformation. |
| Approach: | a new tool helps users analyze propaganda using specific rhetorical and psychological techniques. a prta system identifies the spans in which propaganda techniques occur and compares them. |
| Outcome: | a new tool can analyze articles crawled on a regular basis and compare them on the basis of their use of propaganda techniques. |
The Role of Context in Detecting Previously Fact-Checked Claims (2022.findings-naacl)
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| Challenge: | Recent years have seen the proliferation of disinformation and fake news online. |
| Approach: | They propose to model the context of a political debate and the contexts of the document describing the fact-checked claim. |
| Outcome: | The proposed model improves on the state-of-the-art model by modeling the context of the claim . the experimental results show that the model can provide 10+ points of improvement over the state of the art model . |
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document (2022.findings-emnlp)
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| Challenge: | Recent years have brought us a proliferation of false claims online, which spread fast . fact-checkers have been using automated fact-finding to verify claims . |
| Approach: | They propose a system that can detect claims that can be fact-checked by a given database . they create a manually annotated document dataset and propose evaluation measures . |
| Outcome: | The proposed system achieves sizable performance gains over strong baselines. |
That is a Known Lie: Detecting Previously Fact-Checked Claims (2020.acl-main)
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| Challenge: | a large number of fact-checked claims have been accumulated over the years . despite the importance of fact checking, it has been largely ignored by the research community . |
| Approach: | They propose to automate fact-checking by focusing on claims that have already been fact-tested . they propose to use specialized datasets to compare different methods . |
| Outcome: | The proposed task shows that it improves over state-of-the-art methods. |
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society (2021.findings-emnlp)
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Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov
| Challenge: | a dataset of 16K manually annotated tweets is used to analyze disinformation . the democratic nature of social media has raised questions about the quality and the factuality of the information that is shared on these platforms. |
| Approach: | They use a dataset of manually annotated tweets to analyze COVID-19 disinformation . they show that tweets contain fake cures, rumors, conspiracy theories and xenophobia . |
| Outcome: | The proposed dataset shows that it is useful in monolingual vs. multilingual settings. |