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

The problem of identifying misogynist language on Twitter (and other online social spaces)
The problem of identifying misogynist language on Twitter (and other online social spaces)
Hewitt, Sarah
67126136-19f1-47a7-8fed-fd25554b9415
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Bokhove, Christian
7fc17e5b-9a94-48f3-a387-2ccf60d2d5d8
Hewitt, Sarah
67126136-19f1-47a7-8fed-fd25554b9415
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Bokhove, Christian
7fc17e5b-9a94-48f3-a387-2ccf60d2d5d8

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

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

e-pub ahead of print date: 2016
Venue - Dates: Web Science 2016 (WebSci ’16), Germany, 2016-05-22 - 2016-05-25
Related URLs:
Organisations: Web & Internet Science, Mathematics, Science & Health Education

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 iD orcid.org/0000-0003-1156-1105
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852
ORCID for Christian Bokhove: ORCID iD orcid.org/0000-0002-4860-8723

Catalogue record

Date deposited: 01 Jun 2016 11:29
Last modified: 07 Oct 2020 07:58

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