Araieval shared task: Persuasion techniques and disinformation detection in arabic text
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) …
2023 conference co-located with EMNLP 2023. ArAIEval offers two tasks over Arabic text:(i) …
Arabic document classification: performance investigation of preprocessing and representation techniques
With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …
documentations, the Arabic text classification (ATC) task has been hugely required for many …
[PDF][PDF] Systematic review of the Arabic natural language processing: challenges, techniques and new trends
The volume of Arabic posts on many social networks has increased significantly, providing a
rich source for analysis. As a result, Arabic Natural Language Processing intervenes to …
rich source for analysis. As a result, Arabic Natural Language Processing intervenes to …
Detecting and reasoning of deleted tweets before they are posted
H Mubarak, S Abdaljalil, A Nassar, F Alam - arXiv preprint arXiv …, 2023 - arxiv.org
Social media platforms empower us in several ways, from information dissemination to
consumption. While these platforms are useful in promoting citizen journalism, public …
consumption. While these platforms are useful in promoting citizen journalism, public …
Extracting factors associated with vaccination from Twitter data and mapping to behavioral models
Social media platform, particularly Twitter, is a rich data source that allows monitoring of
public opinions and attitudes toward vaccines. Established behavioral models like the 5C …
public opinions and attitudes toward vaccines. Established behavioral models like the 5C …
COVID-19 vaccine misinformation in middle income countries
This paper introduces a multilingual dataset of COVID-19 vaccine misinformation, consisting
of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria. The …
of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria. The …
An Intelligent COVID‐19‐Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation
The misleading information during the coronavirus disease 2019 (COVID‐19) pandemic's
peak time is very sensitive and harmful in our community. Analyzing and detecting COVID …
peak time is very sensitive and harmful in our community. Analyzing and detecting COVID …
Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation
Since the declaration of COVID-19 as an epidemic by the World Health Organization in
September 2019, the task of monitoring and managing the spread of misinformation related …
September 2019, the task of monitoring and managing the spread of misinformation related …
Arafakedetect: enhancing fake health news detection with ensemble learning on AraCovidVac
The broad availability and use of the internet have dramatically amplified the already
existing problem of false information, particularly when it comes to health-related news. This …
existing problem of false information, particularly when it comes to health-related news. This …
Hybrid annotation and classification for predicting attitudes towards COVID-19 vaccines for Arabic tweets
EMG Younis, R Mohamed, AA Ali… - Social Network Analysis …, 2024 - Springer
In March 2020, the whole world suffered from the coronavirus pandemic. This virus is a sort
of virus that comes in many forms, some of which may kill. It mainly affects the human …
of virus that comes in many forms, some of which may kill. It mainly affects the human …