Text and Data Mining

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Open? When Site Restrictions and Clauses Undermine Open Access

Open access publishing has transformed the way research circulates. In principle, open access means that anyone, anywhere, can read and reuse scholarly work without financial, legal, or technical barriers. But in practice, many works labeled as “open” are quietly constrained by restrictions that limit how they can be used, especially by machines.

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Beyond the Exception: Licensing, Access, and the Realities of Text and Data Mining in the US, UK, and Singapore

This is a post by Syn Ong, AI Policy Researcher at Authors Alliance. Authors increasingly rely on text and data mining (TDM) to analyze large corpora across disciplines. Our new working paper, Beyond the Exception: Licensing, Access, and the Realities of Text and Data Mining in the US, UK, and Singapore, finds that formal legal permissions alone do not secure usable access for TDM research. Instead, usable access turns on how statutory rules interact with private licenses, platform architectures, and technological protection measures (TPMs).

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