Bias in the Social Web

Abstract A frequent assumption in Social Media is that its open nature leads to a representative view of the world. In this talk we want to consider bias occurring in the Social Web. We will consider a case study of liquid feedback, a direct democracy platform of the German pirate party as well as models of (non-)discriminating systems. As a conclusion of this talk we stipulate the need of Social Media systems to bias their working according to social norms and to publish the bias they introduce. Speaker Biography: Prof Steffen Staab Steffen studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) computer science and computational linguistics. Afterwards he worked as researcher at Uni. Stuttgart/Fraunhofer and Univ. Karlsruhe, before he became professor in Koblenz (Germany). Since March 2015 he also holds a chair for Web and Computer Science at Univ. of Southampton sharing his time between here and Koblenz. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advise includes focusing on research (vs. company) or concentrating on only one or two research areas (vs. considering ontologies, semantic web, social web, data engineering, text mining, peer-to-peer, multimedia, HCI, services, software modelling and programming and some more). Though, actually, improving how we understand and use text and data is a good common denominator for a lot of Steffen's professional activities.

Privacy

Privacy is a concept that has been with us for hundreds of years, but it is relatively recently (the last 130 years or so) that it has been seen as something that needs protection as a legal right. Technology has presented many challenges to privacy, from the printing press to recording devices to communication hacking, but Social Media seems to present something new - a phenomenon of people giving up their personal information to an extent that would be considered extraordinary just a generation ago. In this lecture we look at attitudes and behaviors around privacy, see how social norms have shaped our expectations of privacy, and how we have come to trade our privacy for value, making complex (and sometimes ill-informed) risk decisions. We will also explore how people really behave on Social Media systems, to see whether we (as a society) should be concerned about modern attitudes to privacy, and whether there are any advantages that might balance that concern. Finally we look at how technology can be applied to the problems of privacy, both as a preventative measure, but also by aiding transparency and helping people to make better privacy decisions. These slides were updated for 2014.