Legal reform to enhance global text and data mining research.
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| Title: | Legal reform to enhance global text and data mining research. |
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| 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, Rocha de Souza, Allan, Sag, Matthew, Samberg, Rachael, Schirru, Luca, Senftleben, Martin, Tur-Sinai, Ofer, Contreras, Jorge L. |
| Source: | Science (pre-March 2025). 12/2/2022, Vol. 378 Issue 6623, p951-953. 3p. 1 Color Photograph, 1 Chart. |
| Subjects: | Law reform, Data mining, Machine learning, Digital humanities, COVID-19 |
| Abstract: | The article discusses legal reform to enhance global text and data mining (TDM) research. It mentions that TDM is a crucial first step to many machine learning, digital humanities, and social science applications, and predicting and tracking COVID-19. It reveals that empirical studies show that copyright exceptions for research matter. |
| Database: | Psychology and Behavioral Sciences Collection |
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