The problem of identifying misogynist language on Twitter (and other online social spaces)

Hewitt, Sarah, Tiropanis, Thanassis and Bokhove, Christian (2016) The problem of identifying misogynist language on Twitter (and other online social spaces). WebSci '16 ACM Web Science Conference, , Hannover, Germany. 22 - 25 May 2016.

Record type: Conference or Workshop Item (Paper)

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e-pub ahead of print date: 2016

Venue - Dates: WebSci '16 ACM Web Science Conference, , Hannover, Germany, 2016-05-22 - 2016-05-25

Related URLs:

http://www.websci16.org/

Organisations: Web & Internet Science, Mathematics, Science & Health Education

Learn more about School of Electronics and Computer Science research Learn more about Web and Internet Science research

Identifiers

Local EPrints ID: 393885

URI: http://eprints.soton.ac.uk/id/eprint/393885

PURE UUID: bd837c5f-bbf3-4734-aefd-f50334e5de36

ORCID for Sarah Hewitt:

orcid.org/0000-0003-1156-1105

ORCID for Thanassis Tiropanis:

orcid.org/0000-0002-6195-2852

ORCID for Christian Bokhove:

orcid.org/0000-0002-4860-8723

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Date deposited: 01 Jun 2016 11:29

Last modified: 05 Mar 2024 02:45

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Contributors

Author: Sarah Hewitt

Author: Thanassis Tiropanis

Author: Christian Bokhove

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