We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian, and Spanish.
Task Hope Speech Detection required models for the automatic identification of hopeful comments for equality, diversity, and inclusion.
We present an overview of the second edition of the CheckThat!
no code implementations • 23 Sep 2021 • 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, Mucahid Kutlu, Yavuz Selim Kartal
We describe the fourth edition of the CheckThat!
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism.
However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages.
Our best metric for domainness shows a strong correlation with the human-judged precision, representing a reasonable automatic alternative to assess the quality of domain-specific corpora.
In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.
We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation.
Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.
FLC is a fragment-level task that asks for the identification of propagandist text fragments in a news article and also for the prediction of the specific propaganda technique used in each such fragment (18-way classification task).
Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda.
no code implementations • • 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
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story.
We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates.
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information.
In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection.
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties.
First, we systematically study the NMT context vectors, i. e. output of the encoder, and their power as an interlingua representation of a sentence.
In the case of the Arabic question re-ranking task, for the first time we applied tree kernels on syntactic trees of Arabic sentences.