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Picture for Giovanni Da San Martino

Giovanni Da San Martino

Qatar Computing Research Institute, HBKU, Qatar

The Role of Context in Detecting Previously Fact-Checked Claims


Apr 15, 2021
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov

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* detecting previously fact-checked claims, fact-checking, disinformation, fake news, social media, political debates 
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Automated Fact-Checking for Assisting Human Fact-Checkers


Mar 13, 2021
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino

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* fact-checking, fact-checkers, check-worthiness, detecting previously fact-checked claims, evidence retrieval 
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A Survey on Multimodal Disinformation Detection


Mar 13, 2021
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov

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* disinformation, misinformation, factuality, harmfulness, fake news, propaganda, multimodality, text, images, videos, network structure, temporality 
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We Can Detect Your Bias: Predicting the Political Ideology of News Articles


Oct 11, 2020
Ramy Baly, Giovanni Da San Martino, James Glass, Preslav Nakov

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* EMNLP-2020 
 * Political bias, bias in news, neural networks bias, adversarial adaptation, triplet loss, transformers, recurrent neural networks 
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Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models


Sep 07, 2020
Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov

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* CLEF-2020 
 * Check-worthiness; Fact-Checking; Veracity 
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A Survey on Computational Propaganda Detection


Jul 15, 2020
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno, Seunghak Yu, Roberto Di Pietro, Preslav Nakov

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* IJCAI-2020 
 * propaganda detection, disinformation, misinformation, fake news, media bias 
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Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media


Jul 15, 2020
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali

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* CLEF-2020 
 * Check-Worthiness Estimation, Fact-Checking, Veracity, Evidence-based Verification, Detecting Previously Fact-Checked Claims, Social Media Verification, Computational Journalism, COVID-19 
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Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms


Jul 15, 2020
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov

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* COVID-19, Infodemic, Disinformation, Misinformation, Fake News, Call to Arms, Crowdsourcing Annotations 
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That is a Known Lie: Detecting Previously Fact-Checked Claims


May 12, 2020
Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov

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* ACL-2020 
 * detecting previously fact-checked claims, fact-checking, disinformation, fake news, social media, political debates 
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Prta: A System to Support the Analysis of Propaganda Techniques in the News


May 12, 2020
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov

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* ACL-2020 
 * propaganda, disinformation, fake news, media bias, COVID-19 
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Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society


Apr 30, 2020
Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov

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CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media


Jan 21, 2020
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari

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* CLEF-2018 ECIR-2020 
 * Computational journalism, Check-worthiness, Fact-checking, Veracity, CLEF-2020 CheckThat! Lab 
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Proppy: A System to Unmask Propaganda in Online News


Dec 14, 2019
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

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* Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019) 
 * propaganda, disinformation, fake news 
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Global Thread-Level Inference for Comment Classification in Community Question Answering


Nov 20, 2019
Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov

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* EMNLP-2015 
 * community question answering, thread-level inference, graph-cut, inductive logic programming 
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Experiments in Detecting Persuasion Techniques in the News


Nov 15, 2019
Seunghak Yu, Giovanni Da San Martino, Preslav Nakov

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* NeurIPS-2019 workshop on AI for Social Good 
 * arXiv admin note: substantial text overlap with arXiv:1910.02517 
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Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection


Oct 20, 2019
Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov

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* [email protected] 
 * propaganda, disinformation, fake news. arXiv admin note: text overlap with arXiv:1910.02517 
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Fine-Grained Analysis of Propaganda in News Articles


Oct 06, 2019
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov

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* EMNLP-2019 
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Tanbih: Get To Know What You Are Reading


Oct 04, 2019
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov

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* EMNLP-2019 
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Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection


Apr 06, 2019
Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James Glass

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* Hyperpartisanship, propaganda, news media, fake news, SemEval-2018 
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Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness


Aug 08, 2018
Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov

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* CLEF-2018 
 * Computational journalism, Check-worthiness, Fact-checking, Veracity 
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Cross-Language Question Re-Ranking


Oct 04, 2017
Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno, Shafiq Joty, Lluis Marquez, Alessandro Moschitti, Preslav Nakov

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* SIGIR 2017: 1145-1148 
 * SIGIR-2017; Community Question Answering; Cross-language Approaches; Question Retrieval; Kernel-based Methods; Neural Networks; Distributed Representations 
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Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics


Oct 02, 2017
Martin Boyanov, Ivan Koychev, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino

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* RANLP-2017 
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A tree-based kernel for graphs with continuous attributes


Dec 20, 2016
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti

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* This work has been submitted to the IEEE Transactions on Neural Networks and Learning Systems for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Addressing Community Question Answering in English and Arabic


Oct 18, 2016
Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Alessandro Moschitti, Shafiq Joty, Fahad A. Al Obaidli, Kateryna Tymoshenko, Antonio Uva

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* presented at Second WebQA workshop, SIGIR2016 (http://plg2.cs.uwaterloo.ca/~avtyurin/WebQA2016/) 
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An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs


Jul 20, 2016
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti

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* Author's version of the manuscript, to appear in Neurocomputing (ELSEVIER) 
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Ordered Decompositional DAG Kernels Enhancements


Dec 28, 2015
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti

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* Neurocomputing, Volume 192, 5 June 2016, Pages 92--103 
 * Paper accepted for publication in Neurocomputing 
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Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions


Sep 22, 2015
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti

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* Neural Information Processing, Volume 8835 of the series Lecture Notes in Computer Science pp 93-100, 2014 Springer International Publishing 
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