[Asis-l] Reminder: Call for Papers "Twitter Data Analysis" - Special Issue, deadline Sept. 15

Katrin Weller Weller at uni-duesseldorf.de
Tue Aug 13 07:16:17 EDT 2013


Apologies for cross-posting!



Please consider submitting your work for this call for papers: 

Special issue call for papers from Aslib Proceedings: 

TWITTER DATA ANALYTICS


This
 special 2014 Aslib Proceedings issue is guest edited by Professor Axel 
Bruns, Queensland University of Technology and Dr Katrin Weller, GESIS –
 Leibniz Institute for the Social Sciences


WHAT IS THE FOCUS OF THIS SPECIAL ISSUE?
This
 special issue explores the possibilities and limitations of  Twitter 
data analytics. We are particularly interested in papers that place 
carefully conducted studies into the wider framework of current 
Twitter research. Research
 into Twitter and its uses has been gaining momentum over the last few 
years, with an increasing number of studies of Twitter communities and Twitter data. Twitter’s role within contemporary 
internet
 dynamics and its impact on different areas of private and  public life 
have attracted attention. Researchers in many disciplines have been 
making progress in the establishment of both theories and 
methods 
for Twitter research. However, there still is a lack of comparison 
across individual studies and a need for commonly accepted standards in 
analysis and data interpretation.
Twitter research is often based on 
rich data sets, so called big data, that can be retrieved via the 
Twitter API and subsequently be mined with specialised tools. This poses
 several challenges in theory and methods,
 which have been the 
subject of much recent discussion; the current hype around ‘big data’ 
has now also resulted in a critical response which seeks to determine 
the limitations of working with such only apparently
 
comprehensive data sets and highlights the persisting value of research which draws only on ‘small data’.

For
 this special issue, we invite articles which address the  opportunities
 and challenges of Twitter data analytics from theoretical and 
practical, conceptual and empirical perspectives.
Topics of interest include but are not restricted to:

    * Qualitative and quantitative methods to analyse Twitter content
    * Evaluation of metrics and approaches for Twitter analysis
    * Representativeness of Twitter data
    * Comparison of data collection approaches
    * Legal and ethical issues of Twitter research
    * Information visualisation
    * Twitter data retrieval and ranking
    * Information dissemination on Twitter
    * User behaviour and the evolution of
 norms and conventions
    * Information behaviour and information literacy
    * Linguistic analysis of Twitter content
    * "Embedded" content on Twitter (photos, URLs) and Twitter’s relations to other social networks
    * Network analysis
    * User surveys
    * Usage scenarios and case studies
    * Twitter’s role for information management

SUBMISSIONS
   
 * Papers should clearly connect their studies to the wider body of 
Twitter scholarship, and spell out the implications of their findings for
 future research. In general, only research-based submissions will be 
considered. Viewpoints, literature reviews or general reviews are generally not acceptable
   
 * Papers should be 4,000 to 6,000 words in length (including 
references). Please see the author guidelines for citations and 
references style
    * For all additional information prior to 
submission, please contact Professor Axel Bruns or Dr Katrin Weller 
(katrin.weller at gesis.org)
   
 * Please make submissions to Aslib Proceedings using ScholarOne 
Manuscripts, our online submission and peer review system quoting this 
reference number APCALL6 

SCHEDULE DATES AND SUBMISSION DEADLINES
    * Paper submission: 15 September 2013
    * Notice of review results: 15 November 2013
    * Revisions due: 31 December 2013
    * Publication: Aslib Proceedings, issue 3, 2014


Feel free to distribute this information!
The call for papers is available online at: http://www.emeraldinsight.com/products/journals/call_for_papers.htm?id=4778
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