Saud Althabiti

Saud Althabiti
  • PhD Student at University of Leeds

About

8
Publications
1,759
Reads
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43
Citations
Current institution
University of Leeds
Current position
  • PhD Student

Publications

Publications (8)
Conference Paper
Full-text available
This paper introduces Ta’keed, an explainable Arabic automatic fact-checking system. While existing research often focuses on classifying claims as "True" or "False," there is a limited exploration of generating explanations for claim credibility, particularly in Arabic. Ta’keed addresses this gap by assessing claim truthfulness based on retrieved...
Chapter
Full-text available
The immense volume of online information has made verifying claims’ credibility more complex, increasing interest in automatic fact-checking models that classify evidence into binary or multi-class verdicts. However, there are few studies on predicting textual verdicts to explain claims’ credibility. This field focuses on generating a textual verdi...
Article
Full-text available
Social media's fast-growing popularity and convenient approval of unknown accounts have promoted an environment where unidentified users can act maliciously, for instance, by spreading fake news. Even though these social networks have been motivating researchers to deter such occurrences, they have not overcome this dilemma due to the immense volum...
Article
Full-text available
The rapidly increasing popularity of social networking sites and the widespread acceptance of anonymous users have encouraged an environment where unidentified accounts can act maliciously and propagate fake news. The motivation behind that could either be to begin hype or to gain individuals' attention and negatively impact society. Several studie...
Conference Paper
Full-text available
The fifth edition of the "CheckThat! Lab" is one of the 2022 Conference and Labs of the Evaluation Forum (CLEF) and aims to evaluate advances supporting three factuality-related tasks, covering several languages. Our team (SCUoL) participated in task 3A, which concentrates on multi-class fake news detection of English news articles. This paper desc...
Conference Paper
Full-text available
Question answering is a specialized area in the field of NLP that aims to extract the answer to a user question from a given text. Most studies in this area focus on the English language, while other languages, such as Arabic, are still in their early stage. Recently, research tend to develop question answering systems for Arabic Islamic texts, whi...
Conference Paper
Full-text available
Many people nowadays tend to explore social media to obtain news and find information about various events and activities. However, an abundance of misleading and false information is spreading every day for many purposes, dramatically impacting societies. Therefore, it is vitally important to identify false information on social media to help indi...

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