Forum Statement: “Text Data Mining from the Author’s Perspective: Whose Text, Whose Mining, and to Whose Benefit?”

The Data Mining with Limited Access Text: National Forum is scheduled to take place in Chicago on April 5-6, 2018.

Title

Forum Statement: Text Data Mining from the Author’s Perspective: Whose Text, Whose Mining, and to Whose Benefit?

Author

Christine L. Borgman
University of California, Los Angeles

Source

via arXiv

Abstract

Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose benefits.

Direct to Forum Statement (6 pages; PDF)