Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

TL;DR

This paper discusses the evolving landscape of text data mining, emphasizing the importance of considering authors' perspectives and ethical concerns regarding data usage, access, and benefits.

Contribution

It expands the conversation on text data mining to include authors' concerns about data rights, ethical use, and the distribution of benefits, beyond just researchers' technical interests.

Findings

Highlights ethical and social considerations in text data mining

Calls for inclusive policies involving authors in data mining practices

Encourages transparent and equitable data access and usage

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.