研究孟加拉记者对生成式AI的认知与使用,揭示其在缺乏制度支持下的高依赖现象。
Generative Artificial Intelligence Adoption Among Bangladeshi Journalists: Exploring Journalists' Awareness, Acceptance, Usage, and Organizational Stance on Generative AI
- 通过深度访谈23名记者,分析非西方背景下生成式AI的采纳机制。
- 尽管机构支持不足,记者仍高度依赖生成式AI,且担忧与西方一致。
- 提出对技术采纳理论的修正:非正式同行压力比制度支持更关键。
全球新闻机构和记者正广泛采用生成式人工智能(GenAI)。本研究基于对23名孟加拉记者的深度访谈,探讨当地记者对GenAI的认知、接受度、使用模式以及媒体组织的立场。研究发现,尽管缺乏机构支持和人工智能政策,孟加拉记者对GenAI的依赖程度与西方同行相当,且对GenAI在新闻业中影响的担忧基本一致。此外,本研究对统一技术接受与使用理论(UTAUT)提出两项修正:第一,在非西方情境下,促进条件对行为意图无显著影响;第二,社会影响通过非正式同行压力或职业动机以水平方式发挥作用,而非依赖正式层级指令。在孟加拉语境中,自愿性实则源于职业责任感。该研究深化了对非西方新闻业中技术采纳路径的理解。
原文摘要 · Abstract (English)
Newsrooms and journalists across the world are adopting Generative AI (GenAI). Drawing on in-depth interviews with 23 journalists, this study identifies Bangladeshi journalists' awareness, acceptance, usage patterns, and their media organizations' stance toward GenAI. This study finds Bangladeshi journalists' high reliance on GenAI like their Western colleagues despite limited institutional support and the near absence of AI policy. Despite this contrast, concerns over GenAI's implications in journalism between the West and non-West were mostly identical. Moreover, this study contributes to the Unified Theory of Acceptance and Use of Technology (UTAUT) by proposing two changes regarding GenAI adoption among journalists in non-Western settings. First, this study identifies the non-contribution of facilitating conditions in shaping behavioral intent in GenAI adoption in non-Western contexts. Second, social influence works in a horizontal order through informal peer pressure or professional motivation in the absence of formal institutional hierarchical pressure. Voluntariness in the context of Bangladeshi journalists is underpinned by their professional compulsion. Therefore, this study contributes to understanding how contextual factors shape technology adoption trajectories in non-Western journalism.
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