mlsanityData to 7 Oct 2026

Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model

arXiv 2310.09661 ↗First posted 14 Oct 2023cs.CLcited by 4

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Abstract (arXiv)

In this paper, we share our best performing submission to the Arabic AI Tasks Evaluation Challenge (ArAIEval) at ArabicNLP 2023. Our focus was on Task 1, which involves identifying persuasion techniques in excerpts from tweets and news articles. The persuasion technique in Arabic texts was detected using a training loop with XLM-RoBERTa, a language-agnostic text representation model. This approach proved to be potent, leveraging fine-tuning of a multilingual language model. In our evaluation of the test set, we achieved a micro F1 score of 0.64 for subtask A of the competition.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 22 references that are in the map. First posted on arXiv 14 Oct 2023.

Builds on

6 of 22 references.

References · 6

  1. 2022Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabiccited by 18
  2. 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Languagecited by 6
  3. 2021Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemblecited by 5
  4. 2023QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Modelscited by 5
  5. 2023KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detectioncited by 4
  6. 2023Transformer-based approaches to Sentiment Detectioncited by 3

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Cited by year

Citing papers per year: 2023: 2; 2024: 2.

4 papers.

  1. 2023ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Textcited by 19
  2. 2023MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultationscited by 2
  3. 2024Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Modelscited by 1
  4. 2024Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultationscited by 0