Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Martino, Giovanni Da San"'
Autor:
Hasanain, Maram, Alam, Firoj, Mubarak, Hamdy, Abdaljalil, Samir, Zaghouani, Wajdi, Nakov, Preslav, Martino, Giovanni Da San, Freihat, Abed Alhakim
We present an overview of the ArAIEval shared task, organized as part of the first ArabicNLP 2023 conference co-located with EMNLP 2023. ArAIEval offers two tasks over Arabic text: (i) persuasion technique detection, focusing on identifying persuasio
Externí odkaz:
http://arxiv.org/abs/2311.03179
Autor:
Tardelli, Serena, Nizzoli, Leonardo, Tesconi, Maurizio, Conti, Mauro, Nakov, Preslav, Martino, Giovanni Da San, Cresci, Stefano
Publikováno v:
Proceedings of the National Academy of Sciences 121 (20), e2307038121, 2024
Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior. State-of-the-art methods for detecting coordinated behavior per
Externí odkaz:
http://arxiv.org/abs/2301.06774
Propaganda is the expression of an opinion or an action by an individual or a group deliberately designed to influence the opinions or the actions of other individuals or groups with reference to predetermined ends, which is achieved by means of well
Externí odkaz:
http://arxiv.org/abs/2211.10057
Autor:
Sharma, Shivam, Alam, Firoj, Akhtar, Md. Shad, Dimitrov, Dimitar, Martino, Giovanni Da San, Firooz, Hamed, Halevy, Alon, Silvestri, Fabrizio, Nakov, Preslav, Chakraborty, Tanmoy
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content often comb
Externí odkaz:
http://arxiv.org/abs/2205.04274
Autor:
Hristakieva, Kristina, Cresci, Stefano, Martino, Giovanni Da San, Conti, Mauro, Nakov, Preslav
Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them, these two
Externí odkaz:
http://arxiv.org/abs/2109.13046
Autor:
Elsayed, Tamer, Nakov, Preslav, Barrón-Cedeño, Alberto, Hasanain, Maram, Suwaileh, Reem, Martino, Giovanni Da San, Atanasova, Pepa
Publikováno v:
CLEF-2019
We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab featured two tasks in two different languages: English and Arabic. Task 1 (English) challenged the participating systems to predict which claims in a political d
Externí odkaz:
http://arxiv.org/abs/2109.15118
Autor:
Nakov, Preslav, Martino, Giovanni Da San, Elsayed, Tamer, Barrón-Cedeño, Alberto, Míguez, Rubén, Shaar, Shaden, Alam, Firoj, Haouari, Fatima, Hasanain, Maram, Mansour, Watheq, Hamdan, Bayan, Ali, Zien Sheikh, Babulkov, Nikolay, Nikolov, Alex, Shahi, Gautam Kishore, Struß, Julia Maria, Mandl, Thomas, Kutlu, Mucahid, Kartal, Yavuz Selim
Publikováno v:
CLEF-2021
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkis
Externí odkaz:
http://arxiv.org/abs/2109.12987
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Autor:
Shaar, Shaden, Alam, Firoj, Martino, Giovanni Da San, Nikolov, Alex, Zaghouani, Wajdi, Nakov, Preslav, Feldman, Anna
Publikováno v:
NLP4IF-2021
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulgarian, and English. Given a tweet, it asked to predict whether that twe
Externí odkaz:
http://arxiv.org/abs/2109.12986
Publikováno v:
RANLP-2021
While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from the first one. With this in mind, we performed an extensive analysis of
Externí odkaz:
http://arxiv.org/abs/2109.11372
Autor:
Shaar, Shaden, Georgiev, Nikola, Alam, Firoj, Martino, Giovanni Da San, Mohamed, Aisha, Nakov, Preslav
Publikováno v:
EMNLP-2022
Given the recent proliferation of false claims online, there has been a lot of manual fact-checking effort. As this is very time-consuming, human fact-checkers can benefit from tools that can support them and make them more efficient. Here, we focus
Externí odkaz:
http://arxiv.org/abs/2109.07410