[Air-L] Special Issue Call for Papers: Big Data and Media Management

[phil.napoli@rutgers.edu]

International Journal on Media Management
Special Issue Call for Papers: Big Data and Media Management
Deadline: 14 December 2015

Enthusiasm, concern, and uncertainty about big data have permeated
virtually every industry sector and sphere of government.  The field of
media management is no exception.  Big data is playing an increasingly
influential role in all sectors of the media, impacting how media
organizations analyze audiences; produce, distribute, and market content;
formulate and evaluate strategy and tactics; and even reconfigure their
business models.  Contemporary media organizations are both producers and
users of big data.  Interactive media platforms represent some of the most
important ways by which large scale databases are produced.  Further, the
promise of big data speaks directly to the uncertainties of audience demand
that have long permeated virtually every media industry sector.

This special issue seeks to showcase research that employs big data to
address media management questions; that analyzes the uses of big data in
the media management sphere; or that explores the broader implications of
how big data use (or misuse) might transform how media is produced,
distributed, marketed, or consumed.

   - This special issue seeks to feature a wide range of theoretical,
   methodological, and disciplinary perspectives.
   - Specific areas of interest for this special issue include, but are not
   limited to:
   - Big data and the potential transformation of audience measurement
   - Big data and algorithmic decision-making in media production and
   consumption
   - Ethical and policy issues surrounding the use of big data in media
   management contexts
   - The role of big data production and marketing in the economics,
   business models, and strategy of contemporary media organizations
   - The impact of big data on the future of media professions
   - Big data’s potential for uncertainty reduction in predicting audience
   tastes and preferences
   - Historical context for big data’s role in media management
   - Privacy issues related to the use of big data in media management
   - The social and cultural implications of the use of big data in media
   management
   - Ethnographic research on the usage of big data in media management
   contexts
   - Promise versus performance in the use of big data in media management

Submission Instructions

If authors  have  any  questions regarding the suitability of their work
for this special issue,  whether topical  or methodological, they should
not  hesitate to contact  guest  editor  *Philip Napoli*  at
*phil.napoli at rutgers.edu* <phil.napoli at rutgers.edu>, or journal
editor  *Bozena
Mierzejewska *at *jmm-journal at unisg.ch* <jmm-journal at unisg.ch>.

Articles will be evaluated on their general merit, contribution to new
knowledge, and  relevance to the topic  “Big Data and Media Management.”
Manuscripts that meet the scope  of this special issue  will  be
peer-reviewed by two to three reviewers. All submissions must conform to
academic standards, be original, and not be published nor under review
elsewhere. Submissions must be in English and should  be no longer than
6,000  words.  Articles  must  be  submitted via  the electronic submission
system  at: *http://mc.manuscriptcentral.com/hijm*
<http://mc.manuscriptcentral.com/hijm>.
Editorial information

   - Guest Editor: Philip Napoli, *Rutgers University* (
   phil.napoli at rutgers.edu)
   - Journal Editor: Bozena Mierzejewska, *Fordham University* (
   jmm-journal at unisg.ch)