DescriptionBig Data has recently become the buzzword across many disciplines. As an alternative, we propose a Big Video manifesto that moves away from quantitative big data analytics in order to develop an enhanced 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. In this keynote, we will place Big Video in the context of a critical history of scientific audiovisual technologies, discuss the assumptions and aporias of qualitative video-based research since the 1950s, and challenge the ‘black box’ mentality and algorithmic normativity of default functions that undergirds data collection in much contemporary research. Then we will propose a set of tenets for Big Video to rethink epistemological and methodological assumptions and provoke new directions. Finally, we will illustrate current and future trends in Big Video with examples from our own data collection in diverse everyday settings using a variety of new technologies and enhanced methods. We focus, in particular, on methods close to our heart such as ethnomethodological conversation analysis and video ethnography.
|Period||22 Nov 2017|
|Event title||Big Video Sprint|
|Degree of Recognition||International|
- Big Video
- video analysis
- video ethnography