Comparing manual and computational approaches to theme identification in online forums: A case study of a sex work special interest community

Pelham Carter; Matt Gee; Hollie McIlhone; Harkeeret Lally; Robert Lawson

doi:10.1016/j.metip.2021.100065

Comparing manual and computational approaches to theme identification in online forums: A case study of a sex work special interest community

Pelham Carter, Matt Gee, Hollie McIlhone, Harkeeret Lally, Robert Lawson

Research output: Contribution to journal › Article › peer-review

14 Citations (SciVal)

Original language	English
Article number	100065
Journal	Methods in Psychology
Volume	5
DOIs	https://doi.org/10.1016/j.metip.2021.100065
Publication status	Published (VoR) - 14 Jul 2021

Funding

We would like to thank audiences at the 22nd Annual CyberPsychology conference, the 26th Lavender Languages and Linguistics conference, and the 2nd Approaches to Digital Discourse Analysis conference for their comments, questions, and suggestions, all of which helped improve the final article. We would also like to thank the anonymous reviewers for their careful feedback on earlier versions Andrew Kehoe for proof reading, and the editors for their support throughout. The writing of this article was supported by funding from Birmingham City University's STEAM grant.

Keywords

Sex work Online forums Language
gender and sexuality Mixed methods Corpus linguistics

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10.1016/j.metip.2021.100065

https://www.sciencedirect.com/science/article/pii/S2590260121000229

Cite this

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author = "Pelham Carter and Matt Gee and Hollie McIlhone and Harkeeret Lally and Robert Lawson",

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AU - Carter, Pelham

AU - Gee, Matt

AU - McIlhone, Hollie

AU - Lally, Harkeeret

AU - Lawson, Robert

N1 - Funding Information: We would like to thank audiences at the 22nd Annual CyberPsychology conference, the 26th Lavender Languages and Linguistics conference, and the 2nd Approaches to Digital Discourse Analysis conference for their comments, questions, and suggestions, all of which helped improve the final article. We would also like to thank the anonymous reviewers for their careful feedback on earlier versions Andrew Kehoe for proof reading, and the editors for their support throughout. The writing of this article was supported by funding from Birmingham City University's STEAM grant. Publisher Copyright: © 2021

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KW - Sex work Online forums Language

KW - gender and sexuality Mixed methods Corpus linguistics

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JO - Methods in Psychology

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M1 - 100065

ER -

Comparing manual and computational approaches to theme identification in online forums: A case study of a sex work special interest community

Funding

Keywords

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