Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPreslav Nakov
Preslav Ivanov Nakov
Person information
- affiliation: Qatar Computing Research Institute
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j24]Hassan Sajjad
, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
On the effect of dropping layers of pre-trained transformer models. Comput. Speech Lang. 77: 101429 (2023)- [c231]Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov:
The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority. ECIR (3) 2023: 506-517 - [i155]Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, Mauro Conti, Preslav Nakov, Giovanni Da San Martino, Stefano Cresci:
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence. CoRR abs/2301.06774 (2023) - [i154]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023) - [i153]Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR abs/2302.00389 (2023) - 2022
- [j23]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: leveraging social context for fake news detection using graph representation. Commun. ACM 65(4): 124-132 (2022) - [j22]Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighborhood Framework for Resource-Lean Content Flagging. Trans. Assoc. Comput. Linguistics 10: 484-502 (2022) - [c230]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. AAAI 2022: 10729-10737 - [c229]Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, Alex Nikolov, Yavuz Selim Kartal:
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets. CLEF (Working Notes) 2022: 368-392 - [c228]Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Shaden Shaar, Hamdy Mubarak, Nikolay Babulkov:
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims. CLEF (Working Notes) 2022: 393-403 - [c227]Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, Juliane Köhler:
Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. CLEF 2022: 495-520 - [c226]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643 - [c225]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. Khudabukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing Around Vaping. CSoNet 2022: 188-199 - [c224]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. ECIR (2) 2022: 321-328 - [c223]Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Javier Beltrán:
The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. ECIR (2) 2022: 416-428 - [c222]Shaden Shaar, Nikola Georgiev, Firoj Alam, Giovanni Da San Martino, Aisha Mohamed, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. EMNLP (Findings) 2022: 2069-2080 - [c221]Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du:
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. EMNLP 2022: 4971-4983 - [c220]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. EMNLP 2022: 6002-6018 - [c219]Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, Preslav Nakov:
GREENER: Graph Neural Networks for News Media Profiling. EMNLP 2022: 7470-7480 - [c218]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c217]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [c216]Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev, Dmitry Ilvovsky, Preslav Nakov:
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media. AACL/IJCNLP (1) 2022: 266-285 - [c215]Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN 2022: 1-8 - [c214]Yi Ren Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji:
The Battlefront of Combating Misinformation and Coping with Media Bias. KDD 2022: 4790-4791 - [c213]Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov:
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks. NAACL-HLT 2022: 116-126 - [c212]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. NAACL-HLT (Findings) 2022: 1259-1277 - [c211]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588 - [c210]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. NAACL-HLT (Findings) 2022: 1619-1631 - [c209]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR 2022: 1716-1727 - [c208]Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, Preslav Nakov:
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic. WANLP@EMNLP 2022: 108-118 - [c207]Shubham Mittal, Preslav Nakov:
IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection. WANLP@EMNLP 2022: 529-533 - [c206]Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. WebSci 2022: 191-201 - [c205]Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631 - [c204]Preslav Nakov, Giovanni Da San Martino, Firoj Alam:
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. WSDM 2022: 1632-1634 - [c203]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [e21]Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-21-6 [contents] - [e20]Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-22-3 [contents] - [e19]Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-25-4 [contents] - [i152]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. CoRR abs/2201.09012 (2022) - [i151]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR abs/2203.05386 (2022) - [i150]Preslav Nakov, Firoj Alam, Yifan Zhang, Animesh Prakash, Fahim Dalvi:
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media. CoRR abs/2204.03506 (2022) - [i149]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i148]Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations. CoRR abs/2205.04402 (2022) - [i147]Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification. CoRR abs/2205.04404 (2022) - [i146]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022) - [i145]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashique Khudabukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing around Vaping. CoRR abs/2206.07765 (2022) - [i144]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashique Khudabukhsh, Preslav Ivanov Nakov, Chris bauch, Orestis Papakyriakopoulos, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. CoRR abs/2206.09024 (2022) - [i143]Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael A. Wooldridge, Ting Yu:
Ten Years after ImageNet: A 360° Perspective on AI. CoRR abs/2210.01797 (2022) - [i142]Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev, Dmitry Ilvovsky, Preslav Nakov:
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media. CoRR abs/2210.04447 (2022) - [i141]Shubham Mittal, Preslav Nakov:
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection. CoRR abs/2210.17190 (2022) - [i140]Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du:
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. CoRR abs/2211.02816 (2022) - [i139]Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, Preslav Nakov:
GREENER: Graph Neural Networks for News Media Profiling. CoRR abs/2211.05533 (2022) - [i138]Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, Preslav Nakov:
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic. CoRR abs/2211.10057 (2022) - [i137]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022) - 2021
- [b2]Vivi Nastase, Stan Szpakowicz, Preslav Nakov, Diarmuid Ó Séaghdha:
Semantic Relations Between Nominals, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, pp. 1-234 - [j21]Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. Trans. Assoc. Comput. Linguistics 9: 1061-1080 (2021) - [c202]Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic:
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI 2021: 12728-12737 - [c201]Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. ACL/IJCNLP (Findings) 2021: 915-928 - [c200]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796 - [c199]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. ACL/IJCNLP (1) 2021: 6603-6617 - [c198]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CIKM 2021: 4690-4695 - [c197]Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, and Media Bias. CIKM 2021: 4862-4865 - [c196]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CLEF 2021: 264-291 - [c195]Shaden Shaar, Maram Hasanain, Bayan Hamdan, Zien Sheikh Ali, Fatima Haouari, Alex Nikolov, Mücahid Kutlu, Yavuz Selim Kartal, Firoj Alam, Giovanni Da San Martino, Alberto Barrón-Cedeño, Rubén Míguez, Javier Beltrán, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates. CLEF (Working Notes) 2021: 369-392 - [c194]Shaden Shaar, Fatima Haouari, Watheq Mansour, Maram Hasanain, Nikolay Babulkov, Firoj Alam, Giovanni Da San Martino, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates. CLEF (Working Notes) 2021: 393-405 - [c193]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims. CLEF (Working Notes) 2021: 484-493 - [c192]Simona Mihaylova, Iva Borisova, Dzhovani Chemishanov, Preslav Hadzhitsanev, Momchil Hardalov, Preslav Nakov:
DIPS at CheckThat! 2021: Verified Claim Retrieval. CLEF (Working Notes) 2021: 558-571 - [c191]Beata Skuczynska, Shaden Shaar, Jennifer Spenader, Preslav Nakov:
BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data. CLEF (Working Notes) 2021: 639-647 - [c190]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl:
The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. ECIR (2) 2021: 639-649 - [c189]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:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. EMNLP (Findings) 2021: 611-649 - [c188]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. EMNLP (1) 2021: 1460-1476 - [c187]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455 - [c186]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. EMNLP (1) 2021: 9011-9028 - [c185]Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. ICWSM 2021: 913-922 - [c184]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. IJCAI 2021: 4551-4558 - [c183]Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. KDD 2021: 4054-4055 - [c182]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for Natural Language Processing? ECML/PKDD (3) 2021: 677-693 - [c181]Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels. RANLP 2021: 182-189 - [c180]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing. RANLP 2021: 997-1009 - [c179]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar. RANLP 2021: 1010-1021 - [c178]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. RANLP 2021: 1597-1605 - [c177]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. SemEval@ACL/IJCNLP 2021: 70-98 - [e18]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer, Tommi Jauhiainen:
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2021, Kiyv, Ukraine, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-12-1 [contents] - [i136]Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. CoRR abs/2103.00153 (2021) - [i135]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. CoRR abs/2103.00242 (2021) - [i134]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. CoRR abs/2103.07769 (2021) - [i133]Preslav Nakov, Husrev Taha Sencar, Jisun An, Haewoon Kwak:
A Survey on Predicting the Factuality and the Bias of News Media. CoRR abs/2103.12506 (2021) - [i132]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i131]Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighbourhood Framework for Resource-Lean Content Flagging. CoRR abs/2103.17055 (2021) - [i130]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. CoRR abs/2104.07423 (2021) - [i129]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. CoRR abs/2104.07467 (2021) - [i128]Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov:
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking. CoRR abs/2104.13559 (2021) - [i127]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for NLP? CoRR abs/2105.00813 (2021) - [i126]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CoRR abs/2105.00826 (2021) - [i125]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. CoRR abs/2105.09284 (2021) - [i124]Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels. CoRR abs/2108.12519 (2021) - [i123]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. CoRR abs/2108.12802 (2021) - [i122]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators. CoRR abs/2108.12898 (2021) - [i121]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021) - [i120]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR abs/2109.06050 (2021) - [i119]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. CoRR abs/2109.07410 (2021) - [i118]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. CoRR abs/2109.08013 (2021) - [i117]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar. CoRR abs/2109.11372 (2021) - [i116]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman:
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection. CoRR abs/2109.12986 (2021) - [i115]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CoRR abs/2109.12987 (2021) - [i114]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBert: Teaching Soft Rules to Pre-trained Language Models. CoRR abs/2109.13006 (2021) - [i113]Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. CoRR abs/2109.13046 (2021) - [i112]Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. CoRR abs/2109.13723 (2021) - [i111]Preslav Nakov, Hwee Tou Ng:
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. CoRR abs/2109.13724 (2021) - [i110]Dame Jovanoski, Veno Pachovski, Preslav Nakov:
Sentiment Analysis in Twitter for Macedonian. CoRR abs/2109.13725 (2021) - [i109]