Tag Archives: Social Media

University College Dublin: Postdoctoral Research Fellow (Social Media and Healthcare)

The Dynamics Lab at University College Dublin seeks applications for a Post-doctoral position. The position will provide salary and benefits for 16 months, but potentially longer contingent upon performance and funding availability. This is an academic research role, where you will conduct a specified programme of research supported by research training and development under the supervision and direction of a Principal Investigator.

The postdoc will be expected to work primarily on the UCD Strategic and Major Initiative research project “Social Media and Healthcare”. The postdoc will be expected to be able to collect and analyse large scale data sets drawn from various social media platforms and including facebook, twitter, blogs and others. The postdoc will join an interdisciplinary project team to develop innovative and new insights in how communication and interaction on social media impacts on individual behavioural choices with regard to own healthcare management.

It is hoped that this position can commence on 23rd September 2013 or as soon as possible thereafter.

Salary range: €33,975 per annum

For more information, please go to http://www.ucd.ie/hr/jobvacancies/ and look for Reference 006056

Closing date: 16th August 2013

CfP: HT2013 Track – Linking people: Social Media

CALL FOR PAPERS

HT2013 Track – Linking people: Social Media
24rd ACM Conference on Hypertext and Social Media

http://ht.acm.org/ht2013/tracks/social/
May 1-3, 2013

Palais des Congrès, Paris, France

Abstract submission: December 13, 2012

Full and Short Paper Submission: December 18, 2012

Social media has revolutionized how people create and consume information and interact with one another. On sites such as Twitter, Facebook, the various blogs and wikis, people share ideas, opinions, and interests, and respond to those expressed by others. Social media systems have thereby generalized the conventional notion of a hyperlink to imply connections between individuals in particular, via their shared content, media, concepts, and other artifacts. A characteristic property of this new genre of connections is that they promote rich social interactions among individuals involved in the sharing and artifact-building process. At the same time, the growing popularity of these systems presents some challenges: how to motivate new users to participate, how to sustain communities over time, how to manage social media traffic or decipher the large information spaces engendering the interactions.

Making sense of these complex interactions has attracted significant attention in various research communities over the recent years. This track is geared towards developing deeper insights into the mechanisms of information exchange, user and network characterization as well as the discovery, analysis, and modeling of the dynamic social processes in these systems. It provides a key forum for researchers and industry practitioners to exchange information regarding advancements in the current state of art. Addressing several problems in this space necessitates expertise in a variety of domains, spanning Computer and Information Science, Social Sciences, Psychology, Math and Economics. Hence submissions promoting interdisciplinary collaboration are highly encouraged. We invite original, high-quality submissions on all aspects of social media.

Topics of interest:

  • Information diffusion
  • Community evolution
  • Social network and social media analytics
  • Social information seeking and recommender systems
  • Social search and retrieval systems
  • Temporal and spatial analysis of social and information networks
  • Participatory user behavior
  • User modeling
  • Information visualization of social data
  • Language analytics in social media
  • Mobile social media
  • Privacy
  • Spam, misinformation and malicious activity discovery in social systems
  • Social gaming
  • Expertise and trust in online social systems
  • Crowdsourcing and social computing

Important Dates and Submission:

Abstract deadline: December 13, 2012
Full and short paper submission deadline: December 18, 2012
Notification: January 30, 2013
Camera-ready version due: February 17, 2013

Submission details will be made available at http://ht.acm.org/ht2013/
Submissions will be accepted via https://www.easychair.org/conferences/?conf=ht2013

Chairs

Martin Atzmueller, University of Kassel, Germany

Kristina Lerman, University of Southern California, USA