ParShift: a Python package to study order and differentiation in group conversations

dc.contributor.authorSaraiva, Bruno David Ferreira
dc.contributor.authorCarvalho, João P. Matos
dc.contributor.authorFachada, Nuno
dc.contributor.authorPita, Manuel Arturo Marques
dc.date.accessioned2023-11-20T10:20:05Z
dc.date.available2023-11-20T10:20:05Z
dc.date.issued2023-12-01
dc.descriptionSoftwareX
dc.description.abstractCollective organization in multi-party conversations emerges through the exchange of utterances between participants. While most research has focused on content-centred mechanisms that lead to emergent conversational coordination, less attention has been given to explaining conversational order based on who is addressed and who responds, especially when dealing with large conversational datasets. In this paper, we introduce a Python library, ParShift, that implements a state-of-the-art theoretical quantitative framework known as Participation Shifts. This framework enables researchers to study participant-centred order and differentiation in multi-party conversations. With ParShift, researchers can characterize conversations by quantifying the probabilities of events related to how people address each other during conversations. This library is particularly useful for studying conversation threads in social networks, parliamentary debates, team meetings, or student debates on a large scale. Keywords: Small groups Social interaction Participation shifts Interpersonal coordination Turn-taking Emergent social behaviouren
dc.description.sponsorshipThis work is supported by Fundação para a Ciência e a Tecnologia , FCT I. P. project “Factors for promoting dialogue and healthy behaviours in online school communities” with reference DSAIPA/DS/0102/2019 developed at the R&D Unit CICANT - Research Centre for Applied Communication, Culture and New Technologies at Universidade Lusófona, Portugal.pt
dc.formatapplication/pdfpt
dc.identifier.citationFerreira-Saraiva, B.D., Matos-Carvalho, J.P., Fachada, N. & Pita, M. (2023). ParShift: a Python package to study order and differentiation in group conversations. SoftwareX, 24. 101554. https://doi.org/10.1016/j.softx.2023.101554pt
dc.identifier.issn2352-7110
dc.identifier.urihttps://doi.org/10.1016/j.softx.2023.101554
dc.identifier.urihttp://hdl.handle.net/10437/14288
dc.language.isoengpt
dc.publisherElsevierpt
dc.rightsopenAccesspt
dc.subjectGRUPOSpt
dc.subjectGROUPSen
dc.subjectINTERAÇÃO SOCIALpt
dc.subjectSOCIAL INTERACTIONen
dc.subjectCOMPORTAMENTO SOCIALpt
dc.subjectSOCIAL BEHAVIOURen
dc.subjectINFORMÁTICApt
dc.subjectCOMPUTER SCIENCEen
dc.titleParShift: a Python package to study order and differentiation in group conversationspt
dc.typearticlept

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