File Set Description

newsArticlesWithLabels.tsv

  Open Access

File Details

Depositor
sborda@umich.edu
Original Upload
2019-10-07
Last Modified
2019-10-07
Checksum
d2f1e60725e8a7b7947cbde0b0bdc8bd2d723ed0/SHA1
Characterization
File Format: tab-separated-values (Plain text, Tab-separated values)
File Size: 2.93 MB
Mime Type: text/tab-separated-values
User Activity Date
User sborda@umich.edu has attached newsArticlesWithLabels.tsv to Quantifying News Media Bias through Crowdsourcing and Machine Learning Dataset
2019-10-07 14:22:44

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.