Legal reform to enhance global text and data mining research

• Published in: Science (American Association for the Advancement of Science) Vol. 378; no. 6623; pp. 951 - 953
• Main Authors: Fiil-Flynn, Sean M., Butler, Brandon, Carroll, Michael, Cohen-Sasson, Or, Craig, Carys, Guibault, Lucie, Jaszi, Peter, Jütte, Bernd Justin, Katz, Ariel, Quintais, João Pedro, Margoni, Thomas, de Souza, Allan Rocha, Sag, Matthew, Samberg, Rachael, Schirru, Luca, Senftleben, Martin, Tur-Sinai, Ofer, Contreras, Jorge L.
• Format: Journal Article
• Language: English
• Published: Washington The American Association for the Advancement of Science 02.12.2022
• Subjects: Copyrights; COVID-19; Data mining; Information processing; Intellectual property; Jurisdiction; Machine learning; Social discrimination learning; Social sciences

Outdated copyright laws around the world hinder research Researchers engaged in text and data mining (TDM) research collect vast amounts of digitized material and use software to analyze and extract information from it. TDM is a crucial first step to many machine learning, digital humanities, and so...