Public attitudes and sentiments toward ChatGPT in China: A text mining analysis based on social media

Lian, Ying; Tang, Huiting; Xiang, Mengting; Dong, Xuefan

doi:10.1016/j.techsoc.2023.102442

Cited by 11 publications

(1 citation statement)

References 43 publications

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“…Similarly, LDA topic modeling has been effective in examining Weibo posts and comments, shedding light on public attitudes towards various issues. For example, LDA has been used to scrutinize Weibo posts about ChatGPT to gauge public attitudes towards this emerging technology [29]. Another study employed the LDA approach to investigate Weibo posts concerning plastic waste treatment, revealing public perspectives on this issue [30].…”

Section: Topic Modelingmentioning

confidence: 99%

Public Attitudes and Sentiments toward Common Prosperity in China: A Text Mining Analysis Based on Social Media

Li,

Duan,

Zhu

2024

Applied Sciences

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Since 2021, China’s promotion of common prosperity has captured global attention and sparked considerable debate. Yet, scholarly examination of the Chinese public’s attitudes toward this policy, which is crucial for guiding China’s strategic directions, remains limited. To address this gap, this paper collects 256,233 Sina Weibo posts from 2021 to 2023 and utilizes text mining methods such as temporal and trend analysis, keyword analysis, topic analysis, and sentiment analysis to investigate the attitudes and emotions of the Chinese people towards common prosperity. The posts holding negative sentiments are also analyzed, so as to uncover the underlying reasons for the dissatisfaction among Chinese citizens regarding common prosperity. Our analysis reveals that China’s strategy for promoting common prosperity is primarily focused on economic development rather than wealth redistribution. Emphasis is placed on enhancing education, achieving regional balance, implementing market-oriented reforms, and improving livelihoods. Notably, there is increasing public dissatisfaction, particularly with issues such as irregularities in financial and real estate markets, growing wealth inequality, exploitation by capital, generation of illicit income, and regional development imbalances. These challenges necessitate urgent and effective policy interventions.

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Section: Topic Modelingmentioning

confidence: 99%