ParShift: a Python package to study order and differentiation in group conversations
| dc.contributor.author | Carvalho, João P. Matos | |
| dc.contributor.author | Fachada, Nuno | |
| dc.contributor.author | Pita, Manuel Arturo Marques | |
| dc.contributor.author | Saraiva, Bruno David Ferreira | |
| dc.contributor.author | Matos-Carvalho, João Pedro | |
| dc.contributor.institution | COPELABS (FCT) - Centro de Investigação em Computação Centrada nas Pessoas e Cognição (CTS) | |
| dc.contributor.institution | CICANT (FCT) - Centro de Investigação em Comunicação Aplicada, Cultura e Novas Tecnologias | |
| dc.contributor.institution | Escola de Comunicação, Arquitetura, Artes e Tecnologias da Informação | |
| dc.date.issued | 2023-12-01 | |
| dc.description | SoftwareX | |
| dc.description.abstract | Collective 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 behaviour | en |
| dc.description.sponsorship | This 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. | |
| dc.description.status | Non peer reviewed | |
| dc.format | application/pdf | |
| dc.identifier.citation | Carvalho , J P M , Fachada , N , Pita , M A M , Saraiva , B D F & Matos-Carvalho , J P 2023 , ' ParShift: a Python package to study order and differentiation in group conversations ' , SoftwareX , vol. 24 , 101554 . https://doi.org/10.1016/j.softx.2023.101554 | |
| dc.identifier.doi | https://doi.org/10.1016/j.softx.2023.101554 | |
| dc.identifier.issn | 2352-7110 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier B.V. | |
| dc.relation.ispartofseries | vol.24 | |
| dc.rights | openAccess | |
| dc.subject | GRUPOS | |
| dc.subject | INTERAÇÃO SOCIAL | |
| dc.subject | COMPORTAMENTO SOCIAL | |
| dc.subject | INFORMÁTICA | |
| dc.subject | GROUPS | |
| dc.subject | SOCIAL INTERACTION | |
| dc.subject | SOCIAL BEHAVIOUR | |
| dc.subject | COMPUTER SCIENCE | |
| dc.title | ParShift: a Python package to study order and differentiation in group conversations | en |
| dc.type | article |