3rd international Symposium: Micro-Analysis of Online Data (MOOD-Z)
University of Zurich, Switzerland | July 16th – 17th 2015
The Micro-Analysis of Online Data (MOOD) network is an interdisciplinary group of scholars who explore theoretical and methodological issues related to the study of computer-mediated communication (CMC). Although our broad focus is on the application and/or adaptation of conversation and discourse analytic techniques to online data, we are also sensitive to the fact that much online data consist of visual or hypertextual material. Therefore we are also interested in developing novel methods that are tailored towards multimodal environments with limited verbal and paralinguistic data from platforms such as Pinterest to Soundcloud to SecondLife.
The 2015 symposium will include two keynote speakers:
Prof. Dr. Miriam Locher, University of Basel
Dr. Sean Rintel, University of Queensland and Microsoft Research Cambridge
We invite proposals (see: Submissions) for data sessions or for paper presentations that address theoretical, methodological, and method-based issues related to the analysis of CMC. We particularly encourage submissions related to the following topics:
- The application of conversation analysis and various forms of discourse analysis to the study of online interaction.
- Methodological challenges related to carrying out micro-analyses of online discourse/ CMC environments, particularly with methodologies typically applied to face-to-face interactions.
- Theoretical considerations around the communicative conditions for online (written) communication, e.g. addressing issues such as physical vs. virtual presence, and how processes of reading and writing differ in their communicative conditions and consequences from face-to-face interaction.
- The issue of ‘place’ and ‘space’ in (relation to) online discourse.
- Technologies that support the analysis of online interaction.
- Ethical dilemmas inherent to the study of online interaction.
In addition the conventional formats (presentation and data session), there will be a slot that gives Ph.D. students the possibility to discuss clear-cut questions concerning their thesis with senior researchers. Please contact us directly if you are interested in this format so that we can reserve a slot for you.
Organisation committee of MOOD-Z:
David Giles (University of Winchester),
Jessica Nina Lester (Indiana University),
Katrin Lindemann (University of Zurich),
Trena Paulus (University of Georgia),
Emanuel Ruoss (University of Zurich),
Wyke Stommel (Radbout Universiteit Nijmegen),
Caroline Weinzinger (University of Zurich)
Call for Papers as PDF
For more information about the Symposium:
http://www.ds.uzh.ch/Tagungen/MOOD-Z/information.php
For more information about the MOOD network:
http://moodnetwork.ruhosting.nl/
Lawan Dalha 