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Preslav Ivanov Nakov
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- affiliation: Qatar Computing Research Institute
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2020 – today
- 2023
[j25]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)- [j24]Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023) - [c255]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. AAAI 2023: 9763-9771 - [c254]Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra:
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). AAAI 2023: 16318-16319 - [c253]Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov:
Target-Based Offensive Language Identification. ACL (2) 2023: 762-770 - [c252]Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov:
Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques. ACL (1) 2023: 3001-3022 - [c251]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) 2023: 6981-7004 - [c250]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759 - [c249]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. ACL (1) 2023: 14571-14589 - [c248]Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. CLEF (Working Notes) 2023: 219-235 - [c247]Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 250-259 - [c246]Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mücahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source. CLEF 2023: 251-275 - [c245]Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov:
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media. CLEF (Working Notes) 2023: 260-268 - [c244]Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 289-305 - [c243]Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat!-2023: A Diverse Multi-approach Ensemble for Subjectivity Detection in News Articles. CLEF (Working Notes) 2023: 404-412 - [c242]Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova:
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) 2023: 472-489 - [c241]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? EACL 2023: 2141-2155 - [c240]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 - [c239]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. ICWSM 2023: 103-113 - [c238]Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. RANLP 2023: 480-493 - [c237]Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? SemEval@ACL 2023: 58-63 - [c236]Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning. SemEval@ACL 2023: 83-87 - [c235]Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models. SemEval@ACL 2023: 1237-1244 - [c234]Osama Mohammed Afzal, Preslav Nakov:
Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach. SemEval@ACL 2023: 2058-2061 - [c233]Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov:
SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup. SemEval@ACL 2023: 2343-2361 - [c232]Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava:
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR 2023: 2108-2112 - [c231]Wala Elsharif, James She, Preslav Nakov, Simon Wong:
Enhancing Arabic Content Generation with Prompt Augmentation Using Integrated GPT and Text-to-Image Models. IMX 2023: 276-288 - [e22]Yves Scherrer, Tommi Jauhiainen, Nikola Ljubesic, Preslav Nakov, Jörg Tiedemann, Marcos Zampieri:
Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2023, Dubrovnik, Croatia, May 5, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-50-0 [contents] - [i183]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) - [i182]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) - [i181]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) - [i180]Ashraf Haddad, Najwa Aaraj, Preslav Nakov, Septimiu Fabian Mare:
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses. CoRR abs/2304.11130 (2023) - [i179]Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning. CoRR abs/2304.14339 (2023) - [i178]Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models. CoRR abs/2305.03336 (2023) - [i177]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR abs/2305.12744 (2023) - [i176]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR abs/2305.13186 (2023) - [i175]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. CoRR abs/2305.13661 (2023) - [i174]Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov:
Detecting Propaganda Techniques in Code-Switched Social Media Text. CoRR abs/2305.14534 (2023) - [i173]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR abs/2305.14902 (2023) - [i172]Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang:
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. CoRR abs/2305.18410 (2023) - [i171]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023) - [i170]Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov:
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. CoRR abs/2306.05535 (2023) - [i169]Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. CoRR abs/2306.05540 (2023) - [i168]Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin:
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. CoRR abs/2308.13387 (2023) - [i167]Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric Xing:
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR abs/2308.16149 (2023) - [i166]Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles. CoRR abs/2309.06844 (2023) - [i165]Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, Preslav Nakov:
Fake News Detectors are Biased against Texts Generated by Large Language Models. CoRR abs/2309.08674 (2023) - [i164]Yuxia Wang, Minghan Wang, Preslav Nakov:
Rethinking STS and NLI in Large Language Models. CoRR abs/2309.08969 (2023) - [i163]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality Challenges in the Era of Large Language Models. CoRR abs/2310.05189 (2023) - [i162]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR abs/2310.07609 (2023) - [i161]Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. CoRR abs/2310.14338 (2023) - [i160]Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra:
Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering. CoRR abs/2310.16995 (2023) - [i159]Shubham Mittal, Megha Sundriyal, Preslav Nakov:
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. CoRR abs/2310.18205 (2023) - [i158]Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat:
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. CoRR abs/2311.03179 (2023) - [i157]Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. CoRR abs/2311.04917 (2023) - [i156]Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych:
A Template Is All You Meme. CoRR abs/2311.06649 (2023) - [i155]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Language Model Confidence Estimation and Calibration. CoRR abs/2311.08298 (2023) - [i154]Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov:
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR abs/2311.09000 (2023) - [i153]Tariq Alhindi, Smaranda Muresan, Preslav Nakov:
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. CoRR abs/2311.09552 (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 R. 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 R. 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 T. 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,