CheckThat! Lab at CLEF 2023 shared task successfully completed
The sixth edition of the CheckThat! Lab concluded successfully, registering participation from 127 teams.
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Welcome to ArAIEval shared task at WANLP 2023!
This shared task is to further encourage work on computational propaganda and disinformation detection over Arabic content.
News Genre, Framing and Persuasion Techniques Detection using Multilingual Models
“News Genre, Framing, and Persuasion Techniques Detection using Multilingual Models” is scheduled to be presented at the17th International Workshop on Semantic Evaluation (SemEval)
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Team from QCRI at SemEval-2023: “Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models”
Scientists from QCRI participated in Tasks 3 that focus on addressing misinformation by identifying news genre, media framing, and persuasion techniques in news articles with a special direction to multilingual model.
CheckThat! Lab Shared Task at CLEF 2023
Tanbih team is co-organizing CheckThat! Lab Shared task at CLEF 2023 on the topic of Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Sources.
Research Paper Accepted at EMNLP-2022
Scientists from QCRI published a paper titled: “Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document, at EMNLP 2022”.
QCRI Discusses the Findings of a Shared Task on Propaganda Detection in Arabic
The aim of the shared task is to build AI models to detect and identify those means or techniques using Arabic tweets as a source of data.
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Research Paper by Tanbih’s team Accepted at COLING-2022
Tanbih’s team publishes on fake news, propaganda, misinformation, and disinformation in online platforms.
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CLEF 2022 CheckThat! Lab: Advancing the Detection of Misinformation and Disinformation in Social Media
The CLEF 2022 CheckThat! Lab is scheduled to take place from September 5-8, 2022, and will focus on advancing the detection of misinformation and disinformation in social media
A Research Paper is Accepted at IJCAI-2022 Titled “Detecting and Understanding Harmful Memes: A Survey”
Team from QCRI joined an international group of researchers in highlighting the automatic identification of harmful content that can be found online.