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Human Rights are (Increasingly) Plural

Learning the Changing Taxonomy of Human Rights from Large-scale Text Reveals Information Effects

Bibliographic Data

ID3592591
AuthorsBaekkwan Park (0000-0002-0972-5521, East Carolina University, corresponding author), Kevin Greene (0000-0003-4834-3996, University of Pittsburgh, corresponding author), Michael Colaresi (0000-0001-9574-5723, University of Pittsburgh, corresponding author)
Year2020
Volume114
Issue3
Pages888-910
Publication date2020-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Political Science Review (JOURNAL)
Journal identifiersISSN: 0003-0554 • E-ISSN: 1537-5943
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0003055420000258
OpenAlexW3036386626
LanguageEN
Citations received18
References cited43

This manuscript helps to resolve the ongoing debate concerning the effect of information communication technology on human rights monitoring. We reconceptualize human rights as a taxonomy of nested rights that are judged in textual reports and argue that the increasing density of available information should manifest in deeper taxonomies of human rights. With a new automated system, using supervised learning algorithms, we are able to extract the implicit taxonomies of rights that were judged in texts by the US State Department, Amnesty International, and Human Rights Watch over time. Our analysis provides new, clear evidence of change in the structure of these taxonomies as well as in the attention to specific rights and the sharpness of distinctions between rights. Our findings bridge the natural language processing and human rights communities and allow a deeper understanding of how changes in technology have affected the recording of human rights over time

Amnesty · Human rights · Linguistics · Plural · Political science · Taxonomy (biology · Computer Science · Hate Speech and Cyberbullying Detection · Judicial and Constitutional Studies · Law · Political Conflict and Governance

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Unique citing works18
Citations per year3,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 18

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