Re-coding Black Mirror
Potential risks of web technologies
Web solutions against the misuse of technologies
Web technologies to enable or prevent Black Mirror's dystopian future
Black Mirror is a British science fiction TV series created by Charlie Brooker and centred around dark and satirical themes that examine modern society, particularly with regard to the unanticipated consequences of new technologies.
Re-coding Black Mirror is a full day workshop which explores how the widespread adoption of web technologies, principles and practices could lead to potential societal and ethical challenges as the ones depicted in Black Mirror's episodes, and how research related to those technologies could help minimise or even prevent the risks of those issues arising.
Re-coding Black Mirror is about creating connections between researchers that build web technologies and are interested in their potential implications on society, and researchers studying societal and ethical risks of such technologies.
We expect two different types of works to be presented at the workshop, as briefly described by the following examples. Submissions are of course not restricted to those examples, but works addressing those scenarios would be very much welcome. You can also look at the submissions of the Re-coding Black Mirror 2017 edition.
Here we are looking at how ongoing research in the 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? S02E01 - Be right back
How could web technologies be used to integrate information about another person from multiple online sources (digital footprinting), providing a mean for stalking or even blackmailing them? S03E03 - Shut Up and Dance
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 web technologies could reduce those risks. For example:
How could semantic relations between people and information about their network/context prevents the appearance of extreme cases in user ratings? S03E01 - Nosedive
How could web content and network analysis be used to reduce or counter the spread of hate on social media? S03E06 - Hated in the Nation
Please submit your contribution to the workshop by February 10th 2018 (23:59 Hawaii time) through the easychair system (choosing the track "#RCBlackMirror2018: Re-Coding Black Mirror Workshop").
We accept three categories of submissions: full papers (max 8 pages) on research and applied technologies, short papers (max 4 pages) about visions and positions on forthcoming challenges and abstracts (max 2 pages) on the societal and ethical challenges of the aforementioned technologies.
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.
Eyhab Al-Masri, University of Waterloo
Kirstie Ball, University of St. Andrews
Nikos Bikakis, ATHENA Research Center
Pompeu Casanovas, Autonomous University of Barcelona
Sara Degli Esposti, Coventry University
Stefan Dietze, University of Leibniz
Seda Guerses, University of Leuven
Heidi Herzogenrath-Amelung, University of Westminster
David Lewis, ADAPT Centre
Liisa A. Mäkinen, University of Turku
Andrea Mannocci, The Open University
Diana Miranda, Keele University
Marie-Christine Rousset, University of Grenoble
Barry O'Sullivan, University College Cork
Nikolas Thomopoulos, University of Greenwich
Daniel Trottier, Erasmus University Rotterdam
Lachlan Urquhart, University of Nottingham
Serena Villata, Centre Nationnal de la Recherche Scientifique