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The article critically investigates, from an interdisciplinary perspective, how the current evolution of social media—like social
network sites—interferes with the balance between private, commercial, and public space. We build on the concepts of
lifeworld and systems, developed in Habermas’ theory of communicative action. The discussion is support...
Contexts in source publication
Context 1
... are communicated through particular technological design decisions. For example, an SNS like Facebook prescribes compliance in the registration web- page, telling users what to do (Figure 1). This means that a Facebook employee could have done the task, but a server does it instead. ...
Context 2
... Actor Network Theory (ANT), another major STS subfield, this is called "delegation" (Latour, 1992): the act of dele- gating an instruction for another human to an object. As depicted in Figure 1, the author of the delegation, Facebook, inscribes an instruction as a strategic action in the object of the registration webpage. Facebook does this with a certain program in mind. ...
Context 3
... this case, users are first told to fill in information, if they forget to do so, text boxes appear to remind them. If this still does not prompt the user, the registration process simply comes to a halt: the sign-up button does not take users to the next page and each information field turns highlighted with an exclamation mark as shown in Figure 1. ...
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Citations
O presente artigo promove uma discussão sobre o papel dos algoritmos nos Sites de Redes Sociais tendo como objeto o newsfeed do Facebook, mecanismo definidor dos conteúdos expostos nas linhas do tempo dos usuários. O texto toma a tecnologia como construção social e, portanto, eivada de interesses políticos, econômicos e culturais. Partindo deste pressuposto, debate os algoritmos como recursos técnicos chave dessas plataformas e as implicações disso para a privacidade dos usuários. Por fim, discute pesquisas que analisam um
caso concreto, o newsfeed do Facebook, e contribuem para a compreensão de sua dinâmica de funcionamento.
The emergence and rapid development of ICT-centred research methodologies, and data-driven research and innovation in particular, fundamentally challenge ethical values, human rights and security in the EU and beyond. This is especially—though not exclusively—the result of fragmented legal, ethical and terminological frameworks; a mismatch between rules and how they are applied or disregarded in practice; the privatisation of research data and methods; the fact that these challenges are spread over multiple actors and disciplines and issues raised by data opportunism. These challenges keep Responsible Research and Innovation (RRI) largely hypothetical in many contexts and may lead to social rejection and distorted legislation of emerging research methodologies as well as the huge socio-economic potential they hold. This contribution advances the first blueprint for an innovative approach aimed at overcoming the challenges obstructing the full realisation of RRI. The Designing-by-Debate (DbD) approach provides a systematic model and method for inclusive dialogue through smart stewardship, enabling researchers and the broader stakeholder community to develop, fine-tune and operationalise the framework for RRI to their situation. It is an iterative process based on different forms of participatory debate, aimed at formulating RRI protocols and policies with maximal participation from all stakeholders. The method relies on sharing protocols and guidelines so that they can be used and improved simultaneously through new RRI applications. The DbD approach has different well-defined layers and components, that are aimed at making RRI work in the field. Notwithstanding its greater ambitions, the scope of this contribution is confined to DbD in the context of data-driven research and innovation (and how to align it with ethical, normative, and societal values that are central to the EU identity). DbD, we argue, provides the prerequisites for a holistic yet concrete approach to key legal, ethical and social challenges emerging from ubiquitous use of technology and ‘data’ to do research and innovation.
