Digital Methods for Social Science: An Interdisciplinary by Steven Roberts, Visit Amazon's Helene Snee Page, search

By Steven Roberts, Visit Amazon's Helene Snee Page, search results, Learn about Author Central, Helene Snee, , Christine Hine, Yvette Morey, Hayley Watson

This well timed publication evokes researchers to install correct, potent, cutting edge electronic equipment. It explores the connection of such how you can 'mainstream' social technological know-how; interdisciplinarity; thoughts in electronic study instruments; the possibilities (and demanding situations) of electronic tools in learning social lifestyles; and electronic study ethics.

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Extra info for Digital Methods for Social Science: An Interdisciplinary Guide to Research Innovation

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And S. Pink (2012) ‘Social media ethnography: The digital researcher in a messy web’, Media International Australia Incorporating Culture and Policy: Quarterly Journal of Media Research and Resources, 145, 123–34. Rogers, R. (2013) Digital Methods. Cambridge, MA: MIT Press. Rogers, R. and N. Marres (2000) ‘Landscaping climate change: A mapping technique for understanding science and technology debates on the World Wide Web’, Public Understanding of Science, 9(2), 141–63. Salmons, J. (2009) Online Interviews in Real Time.

This shift can be observed in the transition from TwapperKeeper to yourTwapperKeeper. While the former offered data-gathering functionality as a web-based service, the latter simply provided an open-source Axel Bruns and Jean Burgess 25 version of TwapperKeeper functionality as a package which interested and sufficiently skilled researchers could install on their own servers and could use and even modify as required for their specific purposes. Unless steps are taken to specifically prevent such access, yourTwapperKeeper installations continue to make their archives of gathered data available for download to anybody – not just to the researchers who entered the search terms to be tracked.

276) 36 Big Data, Thick Data: Social Media Analysis Working from this position, several authors characterize social media data as a special kind of ‘offline’ social science data. For example, Hine (2006) argues that a key concern of social media analytics is to avoid a loss of quality in data. 4). 205); the representativeness and validity of the data more generally (Tufekci, 2014); and the fact that the production of data is not controlled and led by researchers but appears untamed ‘in the wild’ (Kitchin, 2014).

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