DATA FRICTION‘Friction’ (Tsing 2005) is a metaphor to describe the diverse and conflicting engagements that can occur in digital research contexts. This stream of research stresses the role researchers can play in mediating some of the larger controversies relating to data, citizens, and democracy by taking the lead in developing research methods and practices for evolving data ethics that strive to set new ethical benchmarks for academic research, but also generate alternative data literacies and paradigms.
Publications: (2019) Provocations for Social Media Research: Toward Good Data Ethics. Good Data, edited by Angela Daly, Kate Devitt, and Monique Mann. INC Theory on Demand Series. Online (2019) Good Data Ethics. Institute of Network Cultures. Online (2017) Teaching Students How (not) To Lie, Manipulate, and Mislead, with Information Visualization, with Athir Mahmud, Mél Hogan, Libby Hemphill. In Matei, S.A., Jullien, N., Goggins, S. (Eds.) Big Data Factories: Collaboration in Virtual Community Data Collection, Repurposing, Analysis, and Dissemination. New York: Springer Publishing Company. Presented at: Digital Democracy: Transformation and Public Contestations. McMaster University. September 15, 2018. E-Quality Workshop on Research Ethics, Youth and Social Media. Faculty of Information, University of Toronto. May 4, 2018. Canadian Communication Association. Ryerson University. May 30-June 2, 2017. Workshops: Social Media Research Data Ethics and Management, with Dr.Jay Brodeur. Lewis & Ruth Sherman Centre for Digital Scholarship. McMaster University. April 5, 2018. Workshop materials
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