- ItemProceedings of the Weizenbaum Conference 2023. AI, Big Data, Social Media and People on the Move(Weizenbaum Institute, 2023) Berendt, Bettina; Krzywdzinski, Martin; Kuznetsova, ElizavetaThe contributions focus on the question of what role different digital technologies play for “people on the move” - with “people on the move” being understood both spatially (migration and flight) and in terms of economic and social change (changing working conditions, access conditions). The authors discuss phenomena such as disinformation and algorithmic bias from different perspectives, and the possibilities, limits and dangers of generative artificial intelligence.
- ItemThe Data-Production Dispositif(2022) Miceli, Milagros; Posada, JulianMachine learning (ML) depends on data to train and verify models. Very often, organizations outsource processes related to data work (i.e., generating and annotating data and evaluating outputs) through business process outsourcing (BPO) companies and crowdsourcing platforms. This paper investigates outsourced ML data work in Latin America by studying three platforms in Venezuela and a BPO in Argentina. We lean on the Foucauldian notion of dispositif to define the data-production dispositif as an ensemble of discourses, actions, and objects strategically disposed to (re)produce power/knowledge relations in data and labor. Our dispositif analysis comprises the examination of 210 data work instruction documents, 55 interviews with data workers, managers, and requesters, and participant observation. Our findings show that discourses encoded in instructions reproduce and normalize the worldviews of requesters. Precarious working conditions and economic dependency alienate workers, making them obedient to instructions. Furthermore, discourses and social contexts materialize in artifacts, such as interfaces and performance metrics, limiting workers' agency and normalizing specific ways of interpreting data. We conclude by stressing the importance of counteracting the data-production dispositif by fighting alienation and precarization, and empowering data workers to become assets in the quest for high-quality data.
- ItemThe Civic Internet of Things as a socio-technical object. Studies on community-based environmental monitoring, sustained civic engagement and new opportunities in journalism.(Freie Universität Berlin, 2022) Hamm, Andrea; Neuberger, Christoph; Raetzsch, Christoph
- ItemEmployee involvement and participation in digital transformation: a combined analysis of literature and practitioners' expertise(2023) Ullrich, André; Reißig, Malte; Niehoff, Silke; Beier, Grischa
- ItemNew Objects, New Boundaries: How the “Journalism of Things” Reconfigures Collaborative Arrangements, Audience Relations and Knowledge-Based Empowerment(2022) Hamm, AndreaJournalism of Things (JoT) is a new paradigm in digital journalism where journalists co-create sensor technologies with citizens, scientists, and designers generating new kinds of data-based and community-driven insights to provide a novel perspective on matters of common concern. This study locates Journalism of Things in existing theory and elaborates on innovation practices with the analytical lenses of boundary work and objects of journalism. Three case studies on recent award-winning journalism projects in Germany include interviews, media content analyses, and observations. The findings suggest four typical phases in JoT projects: formation, data work, presentation, and ramification. Blurred boundaries of journalism towards science and activism become apparent when co-creative JoT teams apply scientific methods and technology design while mobilizing communities. The article discusses how things (or objects) of JoT have implications on the configuration for collaborative arrangements and audience relations. By creating and disseminating new local knowledge on matters of common concern, JoT is contributing to empowering both journalism and citizens.