By Helen Kennedy
In this booklet, Helen Kennedy argues that as social media facts mining turns into increasingly more traditional, as we publish, mine and repeat, new info kinfolk emerge. those new info relatives are characterized by way of a frequent wish for numbers and the troubling results of this wish, and likewise by way of the opportunity of doing strong with information and resisting facts energy, by way of new and previous issues, and by way of instability and contradiction. Drawing on motion study with public quarter enterprises, interviews with advertisement social insights businesses and their consumers, concentration teams with social media clients and different study, Kennedy offers a desirable and special account of dwelling with social media information mining contained in the enterprises that make up the cloth of daily life.
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Extra resources for Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary
22 POST, MINE, REPEAT But as van Dijck points out, social media platforms experiment across these classifications and merge elements of categories in efforts to dominate their fields. Facebook, for example, encourages users to share content just like UGC platforms, as well as experimenting in both trading/marketing and play/games. Statistics attest to the unquestionable popularity of social media. 75 billion pieces of content were shared daily (Facebook 2013). At the same time, there was reportedly an average of 400 million tweets posted every day (Twitter 2013).
At the time of writing, commercial and academic social media data miners alike are addressing the challenge of developing mechanisms for mining the 75% of social data which is untagged, unstructured images, and no doubt some progress will have been made by the time the book is published. Capturing the full range of tools, whether in-platform, free-and-simple, free-and-complex, or commercial, is an impossible endeavour, and I have not attempted to do so. Nor am I an advocate for the tools I have discussed, and I am sure Gerlitz and Lury are not either.
Working with three of the city-based public sector organisations with whom we had previously carried out interviews, we were interested in exploring ways of circumventing the threat of a new digital divide based on differential levels of data access (boyd and Crawford 2012) discussed in Chapter 3, by examining ways in which resource-poor groups who want to use digital methods for the public good might be able to access them. In the context of the austerity measures of the time, public sector organisations fell into this category: they, like many others, were in danger of ending up on the wrong side of the divide.