arXiv:2507.06876cs.CYcs.AI2025-07被引 3

分析380万条推文,揭示技术岗位与文化差异如何影响公众对ChatGPT的反应

Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change

  • 通过推文分析,发现技术岗位者更早发声且态度更积极
  • 写作者群体晚入局且更怀疑,个体主义文化促发更负面态度
  • 公众情绪变化源于新声音加入,非早期支持者转态

人工智能公开产品发布可成为集体关注的聚焦事件,揭示社会如何应对技术变革。社交媒体为理解此类事件中的意义建构提供了窗口,展现人们的期望与恐惧,以及谁在何时参与讨论。本文分析了2022年ChatGPT公开发布后,来自117个国家、160万名用户发布的380万条推文。结果表明,经济利益(以写作、编程、数学类职业技能为代理)和国家文化特征(基于霍夫斯泰德的个人主义、不确定性规避、权力距离维度)共同塑造了公众参与的时机、频率及立场。需要更多技术技能的职业(如编程、数学)更早参与并表达更积极态度,而以写作为主的职业则延迟介入且更具质疑。在文化层面,个人主义预测更早参与和更负面立场,不确定性规避虽降低正面态度比例,但不推迟首次参与时间。整体情绪趋势掩盖了动态变化:对ChatGPT态度转为批判,主要源于新质疑声音的涌入,而非早期支持者的立场转变。研究强调职业背景与文化语境在理解公众对AI反应中的关键作用。

原文摘要 · Abstract (English)

Public product launches in Artificial Intelligence can serve as focusing events for collective attention, surfacing how societies react to technological change. Social media provide a window into the sensemaking around these events, surfacing hopes and fears and showing who chooses to engage in the discourse and when. We demonstrate that public sensemaking about AI is shaped by economic interests and cultural values of those involved. We analyze 3.8 million tweets posted by 1.6 million users across 117 countries in response to the public launch of ChatGPT in 2022. Our analysis shows how economic self-interest, proxied by occupational skill types in writing, programming, and mathematics, and national cultural orientations, as measured by Hofstede's individualism, uncertainty avoidance, and power distance dimensions, shape who speaks, when they speak, and their stance towards ChatGPT. Roles requiring more technical skills, such as programming and mathematics, tend to engage earlier and express more positive stances, whereas writing-centric occupations join later with greater skepticism. At the cultural level, individualism predicts both earlier engagement and a more negative stance, and uncertainty avoidance reduces the prevalence of positive stances but does not delay when users first engage with ChatGPT. Aggregate sentiment trends mask the dynamics observed in our study. The shift toward a more critical stance towards ChatGPT over time stems primarily from the entry of more skeptical voices rather than a change of heart among early adopters. Our findings underscore the importance of both the occupational background and cultural context in understanding public reactions to AI.

AI社会影响公共舆论文化差异推文分析

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