ECSCW 2020 Full Papers
The Full Papers of ECSCW 2020 are published in "Computer Supported Cooperative Work (CSCW) - The Journal of Collaborative Computing and Work Practices". In this Digital Library we store the metadata and (DOI-)links to the Springer DL.
Authors with most documents
- Journal ArticleOpen AccessCoding and classifying knowledge exchange on social media: A comparative analysis of the #Twitterstorians and AskHistorians communities(Computer Supported Cooperative Work, 2020) Gruzd, Anatoliy; Kumar, Priya; Abul-Fottouh, Deena; Haythornthwaite, CarolineAs social media become a staple for knowledge discovery and sharing, questions arise about how self-organizing communities manage learning outside the domain of organized, authority-led institutions. Yet examination of such communities is challenged by the quantity of posts and variety of media now used for learning. This paper addresses the challenges of identifying (1) what information, communication, and discursive practices support successful online communities, (2) whether such practices are similar on Twitter and Reddit, and (3) whether machine learning classifiers can be successfully used to analyze larger datasets of learning exchanges. This paper builds on earlier work that used manual coding of learning and exchange in Reddit ‘Ask’ communities to derive a coding schema we refer to as ‘learning in the wild’. This schema of eight categories: explanation with disagreement, agreement, or neutral presentation; socializing with negative, or positive intent; information seeking; providing resources; and comments about forum rules and norms. To compare across media, results from coding Reddit’s AskHistorians are compared to results from coding a sample of #Twitterstorians tweets (n=594). High agreement between coders affirmed the applicability of the coding schema to this different medium. LIWC lexicon-based text analysis was used to build machine learning classifiers and apply these to code a larger dataset of tweets (n=69,101). This research shows that the ‘learning in the wild’ coding schema holds across at least two different platforms, and is partially scalable to study larger online learning communities.
- Journal ArticleOpen AccessHow does Collaborative Reflection Unfold in Online Communities? An Analysis of two Data Sets(Computer Supported Cooperative Work, 2020) Prilla, Michael; Blunk, Oliver; Chounta, Irene-Angelica
- Journal ArticleMetadata onlyUnpacking the Role of Boundaries in Computer-Supported Collaborative Teaching(Computer Supported Cooperative Work, 2020) Willermark, Sara Maria Josefine; Pareto, LenaIn this study, we explore the role of boundaries for collaborative learning and transformation of work practices to occur. We report from a three-year action research project including well over 1800 h of participation by the authors. The empirical data are based on project participation work including observations and field notes, project reports, interviews and a questionnaire, within a school development project in Nordic elementary school. In the project, teachers and researchers from three Nordic countries, Norway, Sweden and Denmark, collaborated to develop novel, on-line teaching models for a Nordic Virtual Classroom. The virtual classroom refers to an educational setting where teaching and learning activities are conducted collaboratively in cross-national teams “in the cloud” by means of information technology. During the project, teachers were challenged in their current teaching practices and the project resulted in collaborative learning and transformation of work practice. In this paper, we explore underlying reasons for such transformation to occur by unpacking how and why boundaries can play a role in computer-supported collaborative teaching and stimulate a transformation towards digitalized teaching practices. The paper contributes with an explanation of how the composition of boundaries of a technological, organizational, and cultural nature operates and constitutes a resource for learning and principles for how boundaries can be used for such purpose.
- Journal ArticleOpen AccessWhen the System does not Fit: Coping Strategies of Employment Consultants(Computer Supported Cooperative Work, 2020) Dolata, Mateusz; Schenk, Birgit; Fuhrer, Jara; Marti, Alina; Schwabe, GerhardCase and knowledge management systems are spread at the frontline across public agencies. However, such systems are dedicated for the collaboration within the agency rather than for the face-to-face interaction with the clients. If used as a collaborative resource at the frontline, case and knowledge management systems might disturb the service provision by displaying unfiltered internal information, disclosing private data of other clients, or revealing the limits of frontline employees’ competence (if they cannot explain something) or their authority (if they cannot override something). Observation in the German Public Employment Agency shows that employment consultants make use of various coping strategies during face-to-face consultations to extend existing boundaries set by the case and knowledge management systems and by the rules considering their usage. The analysis of these coping strategies unveils the forces that shape the conduct of employment consultants during their contacts with clients: the consultants’ own understanding of work, the actual and the perceived needs of the clients, and the political mission as well as the internal rules of the employment agency. The findings form a twofold contribution: First, they contribute to the discourse on work in employment agencies by illustrating how the complexities of social welfare apparatus demonstrate themselves in singular behavioural patterns. Second, they contribute to the discourse on screen-level bureaucracy by depicting the consultants as active and conscious mediators rather than passive interfaces between the system and the client.