[ecrea] Re-coding Black Mirror // 16th International Semantic Web Conference (ISWC 2017)

Call for papers
Re-coding Black Mirror-https://kmitd.github.io/recoding-black-mirror/
Half day workshop at the 16th International Semantic Web Conference 
(ISWC 2017)
21 or 22 October 2017, Vienna

  Black Mirror is a British sci-fi series directed by Charlie Brooker 
portraying a dystopian future emanating from the wide use of digital 
advancements. Even though Black Mirror’s episodes do not entirely rely 
on the widespread availability of existing technology, some of the 
advancements presented are not from such a distant future. The ethical 
and social implications emerging from the increasing reliance on digital 
media -partly depicted in the series- has been a longstanding debate in 
critical studies underlying issues around privacy, social control, 
social and individual justice and other key values around Democracy such 
as freedom of speech. Computer science has picked up on such kind of 
issues focusing mainly on privacy offering technical solutions such as 
privacy by design and encryption amongst other tools.
Re-coding Black Mirror is a half-day workshop which aims at promoting a 
dialogue between semantic web researchers and social scientists to 
address emerging social phenomena from different perspectives looking at 
case scenarios similar to the ones depicted in Black Mirror and explore 
potential semantic solutions to societal and ethical challenges. It will 
also be a forum for raising opportunities of networking with scholars 
from different fields to explore novel research problems that can be 
relevant to both communities.
  TOPICS
  Re-coding Black Mirror is essentially about creating connections 
between researchers building semantic web technologies and interested in 
their potential future implication on society, and researchers studying 
such impact of technology interested in the societal and ethical risks 
of such technological advances. We therefore expect two different types 
of works to be presented at the workshop, as described below. We provide 
brief summaries of examples of what those kinds of work could be. 
Possible submissions are of course not restricted to those examples, but 
works addressing those scenarios would be very much welcome too.
     * Works showing how semantic web technologies can enable scenarios 
like the ones depicted in Black Mirror: Here we are looking at how 
ongoing research in the semantic web community could lead to 
technological advances similar to what is presented in one specific 
episode (or a set of episodes if it is a recurring trend). For example:
        - How could advances in semantically combining results in 
natural language processing and social media analysis lead to the 
ability to create a bot mimicking the personality of a dead person from 
their online contributions? (S2E1)
        - How could semantic technologies be used to integrate 
information about another person from multiple online sources (digital 
footprinting), providing a mean for stalking or even blackmailing them? 
(S3E3)
     * Works showing how semantic web technologies can be used to 
prevent or reduce the risks depicted in Black Mirror: Many of the 
episodes in Black Mirror rely on a practice and use of technology which 
is either unexpected in itself, or which consequences are unexpected. 
Here we are looking at how semantic web technologies could reduce those 
risks. For example:
      - How could relying on semantic relations between people and 
information about their network/context prevents the appearance of 
extreme cases in user ratings? (S3E1)
      - How could semantic content and network analysis be used to 
reduce or counter the spread of hate on social media? (S3E6)
  SUBMISSION
  Please submit your contribution to the workshop by July 21st 2017 
(23:59 Hawaii time) through the easychair system (see [1]). We accept 
three categories of submissions: full papers (max 12 pages) on research 
and applied technologies, short papers (max 6 pages) about visions and 
positions on forthcoming challenges and two page abstracts on the 
societal and ethical risks of the aforementioned technologies.
All papers should be formatted using the Springer LNCS template and 
submitted as PDF (see [2]).
We expect each paper to take as a starting point one futuristic 
scenario, either directly from Black Mirror or of a similar nature, as 
motivation for the work presented.
  ORGANISERS
  - PINELOPI TROULLINOU, Knowledge Media Institute, The Open University, UK
- MATHIEU D'AQUIN, Insight Centre for Data Analytics, NUI Galway, Ireland
- ILARIA TIDDI, Knowledge Media Institute, The Open University, UK
  PROGAMME COMMITTEE
  Kirstie Ball, School of Management, University of St. Andrews, United 
Kingdom

Pompeu Casanovas, Institute of Law and Technology, Universidad Autònoma 
de Barcelona, Spain

Lina Dencik, School of Journalism, Media and Cultural Studies, Cardiff 
University, United Kingdom

Sara Degli Esposti, Internet Interdisciplinary Institute, Universdad 
Oberta de Catalunya, Spain

Stefan Dietze, L3S Research Cente, University of Leipzig, Germany

Seda Guerses, COSIC Research Group, K.U. Leuven, Belgium

Pascal Hitzler, Data Semantics Laboratory, Wright State University, U.S.A.

Sabrina Kirrane, Institute for Information Business, Vienna University 
of Economics and Business, Austria

Matthias Leese, Center for Security Studies, ETH Zurich, Switzerland

Liisa Mäkinen, Social and Public Policy, University of Helsinki, Finland

Andrea Mannocci, Knowledge Media Institute, The Open University, United 
Kingdom

Angelo Antonio Salatino, Knowledge Media Institute, The Open University, 
United Kingdom

Raphaël Troncy, Data Science Department, EURECOM, France

Daniel Trottier, Department of Media and Communication, Erasmus 
University of Rotterdam, The Netherlands

Dimitris Tsapogas, Department of Computer Science, University of Oxford, 
United Kingdom

Nikolas Thomopoulos, Systems Management and Strategy, University of 
Greenwich, United Kingdom

Lachlan Urquhart, Information Technology Law, Horizon Digital Economy 
Research Institute, United Kingdom

Frank Van Harmelen, Network Institute, Vrije Universiteit Amsterdam, The 
Netherlands

Pieter Verdegem, School of Media, Arts & Design, University of 
Westminster, United Kingdom

Serena Villata, SPARKS-WIMMICS, INRIA, France
  [1]https://easychair.org/conferences/?conf=rbm2017
[2]https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines



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