Article ID: CBB632756299

‘End of Theory’ in the Era of Big Data: Methodological Practices and Challenges in Social Media Studies (2020)

unapi

Emerging digital data sources provide opportunities for explaining social processes, but also challenge knowledge production practices within social sciences. This article contributes to the ‘end of theory’ discussions, which have intensified in the social sciences since the widening practice of big data and computational methods. Adopting a systematic literature review of 120 empirical articles through a combined quantitative and qualitative approach, this article strives to contribute to the ongoing discussions on the epistemological shifts in social media big data (SMBD) studies. This study offers an insight into the development of analytical methods and research practices in SMBD studies during their rapid growth period in 2012–2016. The study findings only partially revealed the ‘end of theory’ claim: the problem setting of the studies is rather weakly related to theory, often neither hypothesis nor research questions are formulated on the basis of previous theories or research. However, this relatively weak relatedness to theory has not led to the descriptive type of inference, but rather exploratory, or predictive ways of reasoning. Instead of enabling predictions in social science research, SMBD raises issues of understanding the causes and effects in predictions for evaluating the social mechanisms of global disruptions. Developing ‘human research machines’ that exploit the cognitive resources of individuals should not be the aim of SMBD production. The outcome should be to recognise that the cognitive abilities of researchers, access to data, and developing novel methods are necessary for evaluating the global impact of social behaviour.

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Authors & Contributors
Kranke, Nina
Zalc, Claire
Włodzimierz Gogołek
Shi, Yong
Flis, Ivan
Watts, Duncan J.
Journals
History of Psychology
The Bridge: Journal of the National Academy of Engineering
Science, Technology and Human Values
Science in Context
Metascience: An International Review Journal for the History, Philosophy and Social Studies of Science
Journal of American History
Publishers
University of Virginia Press
University of Chicago Press
MIT Press
Houghton Mifflin Harcourt
Indiana University
Concepts
Data collection; methods
Data analysis
Big data
Technology and society
Digital humanities
Information technology
People
Newton, Isaac
Darwin, Charles Robert
Time Periods
21st century
20th century, late
Modern
20th century, early
20th century
18th century
Places
United States
Institutions
Institute for Social Research, Univ. of Michigan
Mass-Observation
United States. Census Bureau
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