The Computational Thematic Analysis Toolkit
| dc.contributor.author | Gauthier, Robert | |
| dc.contributor.author | Wallace, James | |
| dc.date.accessioned | 2021-11-30T20:13:09Z | |
| dc.date.available | 2021-11-30T20:13:09Z | |
| dc.date.issued | 2022-01 | |
| dc.description.abstract | As online communities have grown, Computational Social Science has rapidly developed new techniques to study them. However, these techniques require researchers to become experts in a wide variety of tools in addition to qualitative and computational research methods. Studying online communities also requires researchers to constantly navigate highly contextual ethical and transparency considerations when engaging with data, such as respecting their members' privacy when discussing sensitive or stigmatized topics. To overcome these challenges, we developed the Computational Thematic Analysis Toolkit, a modular software package that supports analysis of online communities by combining aspects of reflexive thematic analysis with computational techniques. Our toolkit demonstrates how common analysis tasks like data collection, cleaning and filtering, modelling and sampling, and coding can be implemented within a single visual interface, and how that interface can encourage researchers to manage ethical and transparency considerations throughout their research process. | en |
| dc.description.sponsorship | NSERC Discovery, Grant 2015-06585 | en |
| dc.identifier.uri | https://doi.org/10.1145/3492844 | |
| dc.identifier.uri | http://hdl.handle.net/10012/17733 | |
| dc.language.iso | en | en |
| dc.publisher | ACM | en |
| dc.relation.uri | https://osf.io/b72dm/ | en |
| dc.subject | methodology | en |
| dc.subject | thematic analysis | en |
| dc.subject | computational methods | en |
| dc.subject | design | en |
| dc.title | The Computational Thematic Analysis Toolkit | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Robert P. Gauthier and James R. Wallace. 2022. The Computational Thematic Analysis Toolkit. Proc. ACM Hum.-Comput. Interact. 6, GROUP, Article 25 (January 2022), 15 pages. https://doi.org/10.1145/3492844 | en |
| uws.contributor.affiliation1 | Faculty of Applied Health Sciences | en |
| uws.contributor.affiliation2 | Public Health and Health Systems (School of) | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.scholarLevel | Graduate | en |
| uws.typeOfResource | Text | en |