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International Symposium: MOOD-Y (Micro-Analysis Of Online Data in York)

Monday 14 July 2014, 9.30AM to 15 July 2014

Speaker(s): Five Invited Keynotes

Information and booking information is online on the Eventbrite website

Location: University of York

Admission: Free but booking required

The analysis of online social behaviours is a vital aspect of contemporary social science, and it is important that large-scale data analysis is complemented by the detailed, qualitative analysis of interaction processes. Through themed presentations of empirical research and methodological processes on the first day, as well as researcher-led collaborative data workshops on the second day, the MOOD-Y symposium will provide a space for developing the theory and methodology of interaction(al) analysis of online social behaviour.

The symposium will be appropriate for a range of participants, from specialists in particular analytic perspectives (such as Conversation Analysis, multimodality, Critical Discourse Analysis and cognate areas) to qualitative researchers interested in developing their analytic skills in relation to online data. A substantial aim for the symposium is to further develop an already flourishing interdisciplinary and international network of scholars who share an interest in the analysis of online interactional processes.

The symposium is free to attend and has five invited keynotes

  • William Gibson, Institute of Education, University of London. Topic: Questions, Methodologies, and Key Debates in the MicroAnalysis of Online Data
  • Wyke Stommel, Radboud University Nijmegen, Netherlands. Topic: Comparing chat and phone interaction
  • Trena Paulus, University of Tennessee, USA, Jessica Lester, Indiana University, USA. Topic: A critical review of CA and DP applications in CMC contexts: Methodological implications.
  • David Giles, The University of Winchester, UK. Topic: The vexed questions of violation and vulnerability. The problems and paradoxes of ‘privacy’, and the terror of Tweets, traceability, and truth claims.