Abstract
The collection, mining and analysis of social media are arguably one of the core examples of “big data” sets for the social sciences. The dynamic nature of the media makes it a new and emerging base for the analysis of human behaviour and brings new opportunities to understand groups, movements and society. Analysing the results of billions of conversations has already revolutionised marketing and advertising. However, these datasets, by their very nature, are complex, time-consuming and computationally difficult to analyse. We put in place a series of examples to utilise such datasets with a view of exploring non-complex workflows via the use of new toolkits, linking into data collection via the crowd and opening up systems for analysis.
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References
Amazon. (2011). Amazon mechanical turk—artificial, artificial intelligence. https://www.mturk.com/mturk/welcome. Retrieved Nov 2013.
Demarest, M. (2011). Data overload threatens with rise of smart tech and real-time sensors FCW. http://fcw.com/articles/2011/02/28/comment-marc-demarest-sensor-data.aspx. Retrieved Mar 2011.
GLA. (2011). London datastore. http://data.london.gov.uk. Retrieved Aug 2011.
Greiner, (2007). Putting Canada on the map. http://www.theglobeandmail.com/technology/putting-canada-on-the-map/article1092101, Retrieved Dec 2014.
Howe, J. (2006a). Crowdsourcing: A definition. http://crowdsourcing.typepad.com/cs/2006/06/crowdsourcing_a.html. Retrieved Sept 2011.
Howe, J. (2006b). The rise of crowdsourcing. http://www.wired.com/wired/archive/14.06/crowds.html. Retrieved Dec 2013.
Hudson-Smith, A., Batty, M., Crooks, A., & Milton, R. (2009). Mapping for the masses: Accessing web 2.0 through crowdsourcing. Social Science Computer Review, 27, 524.
Marsh, (2014). #UKsnow Map. http://uksnowmap.com. Retrieved Jan 2015.
Met Office. (2011). The big freeze—Nov-Dec 2010. http://www.metoffice.gov.uk/about-us/who/how/case-studies/big-freeze. Retrieved July 2015.
Ramalingam, B. (2013). Lies, damned lies and big data | aid on the edge of chaos. http://aidontheedge.info/2013/02/01/lies-damned-lies-and-big-data. Retrieved Nov 2013.
Ross, C., Terras, M., Warwick, C., & Welsh, A. (2011). Enabled backchannel: Conference Twitter use by digital humanists. Journal of Documentation, 67(2), 214–237. doi: 10.1108/00220411111109449.
Sloan Digital Sky Survey. (2010). Galaxy Zoo. http://www.galaxyzoo.org. Retrieved July 2011.
Stone, B. (2006). Introducing the Twitter API. https://blog.twitter.com/2006/introducing-twitter-api. Retrieved Jan 2014.
Zooniverse. (2009). Zooniverse—real science online. https://www.zooniverse.org/. Retrieved Jan 2015.
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Gray, S., Milton, R., Hudson-Smith, A. (2015). Advances in Crowdsourcing: Surveys, Social Media and Geospatial Analysis: Towards a Big Data Toolkit. In: Garrigos-Simon, F., Gil-Pechuán, I., Estelles-Miguel, S. (eds) Advances in Crowdsourcing. Springer, Cham. https://doi.org/10.1007/978-3-319-18341-1_13
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DOI: https://doi.org/10.1007/978-3-319-18341-1_13
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