“WhatsApp in Politics?!”: Collaborative Tools Shifting Boundaries

Abstract

We examine the technological aspects of political collaborative practices in one of the first studies of participatory constitution writing in the course of its progression. In particular, we examine how digital collaborative and communicative tools can facilitate (or inhibit) the permeation of boundaries, which manifest through the differences in political ideologies and partisan beliefs. Our study is grounded in interviews with 15 members of the Constituent Assembly in the canton of Valais, Switzerland, and its primary contribution is in constructing a fine-grained contextualized understanding of political collaborations, their evolution, and their relationship with collaborative tools. Our findings demonstrate the centrality of versatile and widely available digital tools (such as WhatsApp and Google Docs) in political work. In addition, elected lawmakers prefer tools that allow them to organize their collaborative and communicative actions based on dynamic social boundaries, and their need for asynchronous work practices. We observed a tendency of simultaneously using multiple digital tools to accomplish specific political objectives, and leveraging them in plenary sessions for strategic advantages. On the one hand, collaborative tools enabled strategic advantages by selective permeation of boundaries across political ideologies. On the other hand, lack of awareness about boundaries between ‘private’ and ‘public’ on social networks were considered as privacy blind spots. By focusing on boundaries of different kinds, our paper elucidates how the introduction of digital technologies into political process transforms the long-established categories, distinctions and divisions that are often taken for granted.

Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study

“…Our study draws from and contributes to video-based interactionist studies of healthcare and hospital settings, which constitute a long-established field (Barnes, 2019;Keel, 2023), including oncology (Singh et al, 2017) and radiology (Rystedt et al, 2011). Although digital and AI-based technologies are often viewed as "tools" (Verma et al, 2021;Mlynář et al, 2022a), we aim to move beyond this reductive understanding. Rather than evaluating or assessing the use of the software, our paper examines how pairs of participants work together, and just what they do to achieve their locally relevant tasks.…”