DescriptionBig Data has recently become the buzzword across many disciplines. As an alternative, this master class will explore Big Video that moves away from quantitative big data analytics in order to develop an enriched infrastructure and workflow for qualitative video analysis with innovation in four key areas: 1) capture, storage, archiving and access of digital video; 2) visualisation, transformation and presentation; 3) collaboration and sharing; 4) and qualitative tools to support analysis. The master class will place Big Video in the context of a critical history of scientific audiovisual technologies, in which we will discuss the assumptions of qualitative video-based research since the 1950s and challenge the ‘black box’ mentality and algorithmic normativity that undergirds data collection in much contemporary research. We will trace a set of tenets for a Big Video Manifesto to rethink epistemological and methodological assumptions and provoke new directions. Finally, current and future trends in Big Video will be illustrated with examples from my own data collection in diverse everyday settings using a variety of new technologies and enhanced methods. The primary focus is on augmenting methods such as ethnomethodological conversation analysis and video ethnography to study social interaction and learning.
|Period||31 Aug 2018|
|Event title||EARLI SIG 10 & 21 Conference 2018: Connecting Connected Minds: Capturing the relevance of social interaction and cultural diversities in a digitalized media ecology|
|Degree of Recognition||International|
- Big Video
- video analysis
- video ethnography