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Like trainer, like bot? Inheritance of bias in algorithmic content moderation

Abstract:

The internet has become a central medium through which ‘networked publics’ express their opinions and engage in debate. Offensive comments and personal attacks can inhibit participation in these spaces. Automated content moderation aims to overcome this problem using machine learning classifiers trained on large corpora of texts manually annotated for offence. While such systems could help encourage more civil debate, they must navigate inherently normatively contestable boundaries, and are s...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Files:
Publisher copy:
10.1007/978-3-319-67256-4_32

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Publisher:
Springer Publisher's website
Volume:
10540 LNCS
Pages:
405-415
Publication date:
2017-09-05
Acceptance date:
2017-07-03
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
Pubs id:
pubs:731345
URN:
uri:b0723053-f564-4a49-be8f-85e1b0780ea7
UUID:
uuid:b0723053-f564-4a49-be8f-85e1b0780ea7
Local pid:
pubs:731345
ISBN:
9783319672557

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