BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets

• URL: http://arxiv.org/abs/2101.09345v1
• Date: Fri, 22 Jan 2021 21:50:38 GMT
• Title: BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
• Authors: Fouzi Harrag, Maria Debbah, Kareem Darwish, Ahmed Abdelali
• Abstract summary: We propose a transfer learning based model that will be able to detect if an Arabic sentence is written by humans or automatically generated by bots. Our new transfer-learning model has obtained an accuracy up to 98%. To the best of our knowledge, this work is the first study where ARABERT and GPT2 were combined to detect and classify the Arabic auto-generated texts.
• Score: 6.18447297698017
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: During the last two decades, we have progressively turned to the Internet and social media to find news, entertain conversations and share opinion. Recently, OpenAI has developed a ma-chine learning system called GPT-2 for Generative Pre-trained Transformer-2, which can pro-duce deepfake texts. It can generate blocks of text based on brief writing prompts that look like they were written by humans, facilitating the spread false or auto-generated text. In line with this progress, and in order to counteract potential dangers, several methods have been pro-posed for detecting text written by these language models. In this paper, we propose a transfer learning based model that will be able to detect if an Arabic sentence is written by humans or automatically generated by bots. Our dataset is based on tweets from a previous work, which we have crawled and extended using the Twitter API. We used GPT2-Small-Arabic to generate fake Arabic Sentences. For evaluation, we compared different recurrent neural network (RNN) word embeddings based baseline models, namely: LSTM, BI-LSTM, GRU and BI-GRU, with a transformer-based model. Our new transfer-learning model has obtained an accuracy up to 98%. To the best of our knowledge, this work is the first study where ARABERT and GPT2 were combined to detect and classify the Arabic auto-generated texts.

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