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ChatGPT across Arabic Twitter: A Study of Topics, Sentiments, and Sarcasm

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Listed:
  • Shahad Al-Khalifa

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia)

  • Fatima Alhumaidhi

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia)

  • Hind Alotaibi

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia
    College of Language Sciences, King Saud University, Riyadh 11421, Saudi Arabia)

  • Hend S. Al-Khalifa

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia
    Department of Information Technology, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia)

Abstract

While ChatGPT has gained global significance and widespread adoption, its exploration within specific cultural contexts, particularly within the Arab world, remains relatively limited. This study investigates the discussions among early Arab users in Arabic tweets related to ChatGPT, focusing on topics, sentiments, and the presence of sarcasm. Data analysis and topic-modeling techniques were employed to examine 34,760 Arabic tweets collected using specific keywords. This study revealed a strong interest within the Arabic-speaking community in ChatGPT technology, with prevalent discussions spanning various topics, including controversies, regional relevance, fake content, and sector-specific dialogues. Despite the enthusiasm, concerns regarding ethical risks and negative implications of ChatGPT’s emergence were highlighted, indicating apprehension toward advanced artificial intelligence (AI) technology in language generation. Region-specific discussions underscored the diverse adoption of AI applications and ChatGPT technology. Sentiment analysis of the tweets demonstrated a predominantly neutral sentiment distribution (92.8%), suggesting a focus on objectivity and factuality over emotional expression. The prevalence of neutral sentiments indicated a preference for evidence-based reasoning and logical arguments, fostering constructive discussions influenced by cultural norms. Sarcasm was found in 4% of the tweets, distributed across various topics but not dominating the conversation. This study’s implications include the need for AI developers to address ethical concerns and the importance of educating users about the technology’s ethical considerations and risks. Policymakers should consider the regional relevance and potential scams, emphasizing the necessity for ethical guidelines and regulations.

Suggested Citation

  • Shahad Al-Khalifa & Fatima Alhumaidhi & Hind Alotaibi & Hend S. Al-Khalifa, 2023. "ChatGPT across Arabic Twitter: A Study of Topics, Sentiments, and Sarcasm," Data, MDPI, vol. 8(11), pages 1-19, November.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:11:p:171-:d:1280063
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    References listed on IDEAS

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    1. Eva A. M. van Dis & Johan Bollen & Willem Zuidema & Robert van Rooij & Claudi L. Bockting, 2023. "ChatGPT: five priorities for research," Nature, Nature, vol. 614(7947), pages 224-226, February.
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