Apologies. This just went out but the date should be 25 March.
>All Welcome
>
>Department of Culture, Film and Media
>University of Nottingham
>Research Lectures 2014/15
>
>Professor Helen Kennedy (University of Sheffield)
>WHAT SHOULD CONCERN US ABOUT SOCIAL MEDIA DATA MINING?
>
>5.00pm Wednesday 18 March 2015
>University of Nottingham
>University Park Campus
>B40 Trent Building (for directions, see below)
>
>New methods for analysing social media data promise significant new ways
>of knowing. At the same time, critics warn of a number of problems with
>social media data mining: access is uneven, methods provide a new means
>of surveillance and control, and they are used to accumulate knowledge
>about consumers in an increasingly ‘knowing capitalism’ (Thrift 2005).
>These criticisms are entirely justified when it comes to the spectacular
>forms of data mining that have hit the headlines in recent years.
>However, there are many more forms of data mining than these: diverse
>social media data mining practices, carried out by a variety of actors,
>in distinct contexts, for distinct purposes (some of them more troubling
>than others) are proliferating. So we need to differentiate types of data
>mining, actors engaged in such practices, institutional and
>organisational contexts in which data mining takes place, and the range
>of purposes, intentions and consequences of data mining (van Dijck and
>Poell 2013). To date, academic attention has largely focused on the data
>mining of the mega social media platforms, governments and security
>agencies: now we need to ground the study of data mining in real-world,
>everyday, ’ordinary’ practices and contexts (Couldry and Powell, 2014).
>
>This paper focuses on some of the emerging, ordinary practices and actors
>engaged in social media data mining. It asks what kinds of social media
>data mining should concern us and what should concern us about them. It
>concludes by reflecting on whether humans must ‘submit to the harsh logic
>of machinery’ (Feenberg, 2002), whether social media data mining always
>inevitably suppresses human well-being, or if other alternatives are
>possible. The paper presents work-in-progress addressing these issues.
>
>The lecture takes place in B40 at the Trent Building on the University
>Park campus. For directions, see
>www.nottingham.ac.uk/about/visitorinformation/mapsanddirections/university
>parkcampus.aspx
>
>The Trent Building is marked as 11 on the campus map at
>www.nottingham.ac.uk/sharedresources/documents/mapuniversitypark.pdf
>
>Please address any enquiries to:
>
>Prof. Paul McDonald
>Professor of Cinema and Media Industries
>University of Nottingham
>
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>
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MeCCSA is the subject association for the field of media, communication and cultural studies in UK Higher Education.
This mailing list is a free service and is not restricted to members. It is an unmoderated list and content reflect the views of those who post to the list and not of MeCCSA as an organisation.
MeCCSA recommends that the list be used only for posting of information (for example about events, publications, conferences, lectures) of interest to members or to promote discussion of current issues of wide general interest in the field. Posts to the MeCCSA mailing list are public, indexed by Google, and can be accessed from the JISCMail website (http://www.jiscmail.ac.uk/lists/meccsa.html).
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