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JSTOR

Assess

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A digital library and academic journal archive referenced in the comparison to the Aaron Swartz case.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by regulatory news, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 6Hacker News·8/20/2026regulation
    Meta faces backlash over alleged book scraping for AI training

    A Hacker News post contrasts Aaron Swartz’s prosecution for downloading JSTOR academic articles with allegations that Meta torrented a large book dataset to train its AI models. The post argues that Meta has faced comparatively limited consequences so far, though the issue is still tied up in legal proceedings.