新闻机构应对生成式AI，通过屏蔽、内容升级和增聘人才来维护竞争力。
Strategic Response of News Publishers to Generative AI
- 部分大媒体通过robots.txt屏蔽AI爬虫，防止内容被滥用。
- 屏蔽后网站流量下降，但内容转向更难复制的深度报道。
- 编辑与内容岗位招聘量持续上升，反映人力投入增加。
生成式AI可能降低新闻消费者需求，减少新闻从业者工作机会，并催生大量低质新闻内容。但同时也能带来流量引流和信息发现渠道，提升需求。本文利用高频细粒度数据，分析新闻机构对生成式AI引入的战略应对。许多机构通过robots.txt标准主动屏蔽大型语言模型（LLM）访问。采用双重差分法发现，采取屏蔽措施的大规模媒体网站流量显著下降。此外，这些机构转向生产更丰富、更难被模型复制的内容，而非单纯增加文本量。同时，新发布的编辑与内容生产岗位数量随时间持续上升。上述结果揭示了媒体机构在应对生成式AI竞争威胁时所采取的关键策略及其影响。
原文摘要 · Abstract (English)
Generative AI can adversely impact news publishers by lowering consumer demand. It can also reduce demand for newsroom employees, and increase the creation of news "slop." However, it can also form a source of traffic referrals and an information-discovery channel that increases demand. We use high-frequency granular data to analyze the strategic response of news publishers to the introduction of Generative AI. Many publishers strategically blocked LLM access to their websites using the robots.txt file standard. Using a difference-in-differences approach, we find that large publishers who block GenAI bots experience reduced website traffic compared to not blocking. In addition, we find that large publishers shift toward richer content that is harder for LLMs to replicate, without increasing text volume. Finally, we find that the share of new editorial and content-production job postings rises over time. Together, these findings illustrate the levers that publishers choose to use to strategically respond to competitive Generative AI threats, and their consequences.
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