Thick Data for Digital Media Research

Thick Data for Digital Media Research

This workshop will provide an overview of the thick data approach for studying online phenomena and digital objects. Thick data methodology refers to a range of research methods designed for digital media research that are not predominantly computational nor based on the collection of massive sets of digital traces. Rooted in the comprehensive paradigm of qualitative research, this form of trace-based inquiry relies on the density or “thickness” of collected/constructed data rather than the size or volume of collected traces. The workshop begins with the presentation of a conceptual framework to formalise and operationalise the thick data approach, along with concrete examples of thickening strategies that have been used in digital media research. Then, participants will be invited to examine their own research methods through the perspective of thick data and to contribute to a critical reflection on the complementarity of thick data and big data approaches.

Note: Registration is required.

GuillaumeLatzko-Toth is a Full Professor in the Department of Information and Communication at Laval University, Quebec. He is a member and the former co-director of the LabCMO (Laboratory for Communication and the Digital). His research focuses on the appropriation of digital technologies and the role of users in transforming digital media. His interests also include the datafication of society and the materiality of digital cultures.

David Myles holds a PhD in communication from the University of Montreal. He is an Affiliate Professor in Sexology at the University of Quebec in Montreal and a member of the LabCMO. His postdoctoral research examines the commercial and sociopolitical implications of queer dating in the app economy under the supervision of Jean Burgess at the DMRC. His academic interests include Internet research methodology, political and cultural implications of digital media, sexual and gender diversity, as well as online death and mourning.