PulseAugur
EN
LIVE 02:07:25

AI-driven web scraping raises concerns for open web and research

The increasing use of large language models (LLMs) for mass web scraping is raising concerns about its impact on the open web and non-profit research initiatives. This essay highlights the potential costs associated with AI-driven data collection, suggesting it could negatively affect resources crucial for academic and public good projects. AI

IMPACT AI-driven mass web scraping may increase costs and negatively impact resources vital for non-profit research and the open web.

RANK_REASON The item is an essay discussing the implications of AI-driven web scraping, fitting the commentary bucket.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-driven web scraping raises concerns for open web and research

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    RE: https:// scholar.social/@ekansa/1168112 73528024594 This essay discusses some of the costs of # LLM # AI driven mass web-scraping and how it impacts # nonpr

    RE: https:// scholar.social/@ekansa/1168112 73528024594 This essay discusses some of the costs of # LLM # AI driven mass web-scraping and how it impacts # nonprofit # opendata services like Open Context. # datacuration # rdm # datamanagement