arXiv:2410.17423cs.CLcs.AI2024-10被引 1

分析巴西媒体3560篇报道,发现AI新闻多聚焦商业应用,社会议题被忽视。

Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis

  • 用文本挖掘和实体识别分析巴西主流媒体新闻
  • 超半数报道关注职场应用与产品发布,社会议题仅限深伪视频和选举安全
  • 企业主体主导报道,反映商业议程影响媒体叙事

近年来人工智能关注度持续上升,自2009年以来媒体覆盖显著增加,引发关于隐私、社会正义、劳动者权益与民主制度的广泛讨论。媒体在塑造公众对AI技术认知中扮演关键角色,但现有研究多集中于英语语境,缺乏对全球多元语境下AI媒体报道的理解。本研究基于2023年7月1日至2024年2月29日间来自13家巴西主流在线媒体的3,560篇新闻文章,采用计算扎根理论(CGT),结合隐含狄利克雷分配(LDA)、BERTopic与命名实体识别技术,探究媒体中AI报道的主题分布及主体构成。结果显示,巴西媒体对AI的报道以职场应用与产品发布为主,社会性议题空间有限,主要聚焦于深度伪造与选举完整性问题。分析还揭示行业相关主体占据显著地位,表明企业议程对新闻叙事有强烈影响。研究呼吁加强巴西媒体对AI社会影响的批判性与深入讨论。

原文摘要 · Abstract (English)

The current surge in Artificial Intelligence (AI) interest, reflected in heightened media coverage since 2009, has sparked significant debate on AI's implications for privacy, social justice, workers' rights, and democracy. The media plays a crucial role in shaping public perception and acceptance of AI technologies. However, research into how AI appears in media has primarily focused on anglophone contexts, leaving a gap in understanding how AI is represented globally. This study addresses this gap by analyzing 3,560 news articles from Brazilian media published between July 1, 2023, and February 29, 2024, from 13 popular online news outlets. Using Computational Grounded Theory (CGT), the study applies Latent Dirichlet Allocation (LDA), BERTopic, and Named-Entity Recognition to investigate the main topics in AI coverage and the entities represented. The findings reveal that Brazilian news coverage of AI is dominated by topics related to applications in the workplace and product launches, with limited space for societal concerns, which mostly focus on deepfakes and electoral integrity. The analysis also highlights a significant presence of industry-related entities, indicating a strong influence of corporate agendas in the country's news. This study underscores the need for a more critical and nuanced discussion of AI's societal impacts in Brazilian media.

AI媒体巴西舆论分析文本挖掘

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。