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Voices in the digital storm: Unraveling online polarization with ChatGPT

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  • Xing, Yunfei
  • Zhang, Justin Zuopeng
  • Teng, Guangqing
  • Zhou, Xiaotang

Abstract

ChatGPT, an esteemed natural language processing model, has demonstrated remarkable capabilities in intelligent text generation, interactive conversation, and myriad additional tasks. The utilization of ChatGPT has generated a wide debate among users with different attitudes on social media platforms, culminating in the phenomenon of polarization. Based on confirmation bias theory, this paper presented a theoretical framework that elucidates the process of online polarization. Subsequently, we develop the sentiment classification (BERTSentiment) and topic identification (BERTopic) model leveraging the pre-trained BERT (Bidirectional Encoder Representations from Transformers) model. To empirically investigate the public sentiment regarding ChatGPT, an in-depth study was conducted on the X platform. The results indicate that although a small portion of users (approximately 10%) express negative sentiments regarding ChatGPT's ethical considerations, functionality, and accuracy, the majority of users exhibit either positive or neutral views. Among the public concerns, AI and bot functions, response quality, instant messaging, enterprise applications, and technological aspects emerge as the most prominent topics. This study sheds light on public perceptions regarding the progress and integration of emerging technologies. Moreover, it introduces a fresh data mining perspective that enhances our understanding of polarization in the context of social media research.

Suggested Citation

  • Xing, Yunfei & Zhang, Justin Zuopeng & Teng, Guangqing & Zhou, Xiaotang, 2024. "Voices in the digital storm: Unraveling online polarization with ChatGPT," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000824
    DOI: 10.1016/j.techsoc.2024.102534
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    References listed on IDEAS

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    1. Chris Stokel-Walker & Richard Van Noorden, 2023. "What ChatGPT and generative AI mean for science," Nature, Nature, vol. 614(7947), pages 214-216, February.
    2. Huosong Xia & Yitai Yang & Xiaoting Pan & Zuopeng Zhang & Wuyue An, 2020. "Sentiment analysis for online reviews using conditional random fields and support vector machines," Electronic Commerce Research, Springer, vol. 20(2), pages 343-360, June.
    3. Lin, Xiaolin & Kishore, Rajiv, 2021. "Social media-enabled healthcare: A conceptual model of social media affordances, online social support, and health behaviors and outcomes," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Koc, Erdogan & Hatipoglu, Sercan & Kivrak, Oguzhan & Celik, Cemal & Koc, Kaan, 2023. "Houston, we have a problem!: The use of ChatGPT in responding to customer complaints," Technology in Society, Elsevier, vol. 74(C).
    5. Einav, Gali & Allen, Ofir & Gur, Tamar & Maaravi, Yossi & Ravner, Daniel, 2022. "Bursting filter bubbles in a digital age: Opening minds and reducing opinion polarization through digital platforms," Technology in Society, Elsevier, vol. 71(C).
    6. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Al-Anzi, Fawaz S., 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review," Technology in Society, Elsevier, vol. 75(C).
    7. Kathie M. d'I. Treen & Hywel T. P. Williams & Saffron J. O'Neill, 2020. "Online misinformation about climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(5), September.
    8. Huang, Anzhong & Xu, Rui & Chen, Yu & Guo, Meiwen, 2023. "Research on multi-label user classification of social media based on ML-KNN algorithm," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    9. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
    10. Arora, Swapan Deep & Singh, Guninder Pal & Chakraborty, Anirban & Maity, Moutusy, 2022. "Polarization and social media: A systematic review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Ma, Xiaoyue & Huo, Yudi, 2023. "Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework," Technology in Society, Elsevier, vol. 75(C).
    12. Islam, A.K.M. Najmul & Laato, Samuli & Talukder, Shamim & Sutinen, Erkki, 2020. "Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    13. Bin-Nashwan, Saeed Awadh & Sadallah, Mouad & Bouteraa, Mohamed, 2023. "Use of ChatGPT in academia: Academic integrity hangs in the balance," Technology in Society, Elsevier, vol. 75(C).
    Full references (including those not matched with items on IDEAS)

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