Communication Monographs. Mar2018, Vol. 85 Issue 1, p57-80. 24p. 2 Color Photographs.
Communications research -- Methodology, Big data, Theory of knowledge, Machine learning, Ethnology methodology, Watson (Computer), and Artificial intelligence
"Big Data" and "artificial intelligence" have captured the public imagination and are profoundly shaping social, economic, and political spheres. Through an interrogation of the histories, perceptions, and practices that shape these technologies, we problematize the myths that animate the supposed "magic" of these systems. In the face of an increasingly widespread blind faith in data-driven technologies, we argue for grounding machine learning-based practices and untethering them from hype and fear cycles. One path forward is to develop a rich methodological framework for addressing the strengths and weaknesses of doing data analysis. Through provocatively reimagining machine learning as computational ethnography, we invite practitioners to prioritize methodological reflection and recognize that all knowledge work is situated practice. [ABSTRACT FROM AUTHOR]
International Journal of Communication (19328036). 2018, Vol. 12, p1157-1165. 9p.
Privacy, Journalists, Learning & scholarship, Surveillance detection, and Middle class -- United States
Although privacy and surveillance affect different populations in disparate ways, they are often treated as monolithic concepts by journalists, privacy advocates, and researchers. Achieving privacy is especially difficult for those who are marginalized in other areas of life. This special section interrogates what privacy looks like at the margins, investigating a broad spectrum of issues, methodologies, and contexts. Many make an intervention into mainstream theories of privacy and surveillance, showing how examining the experiences of individuals outside the normative White, American, middle-class subject often complicates assumptions about how privacy operates. Others examine the mundane and the banal to analyze how power relations play out in everyday life. By incorporating research outside the canon of privacy research, and by advocating for projects that discuss more diverse conceptualizations of "the user" or the subject, we can envision a future for privacy scholarship that incorporates a wider set of harms and needs and encompasses the concerns of a larger base of citizens. [ABSTRACT FROM AUTHOR]