The European Commission Directorate General for Communications Networks, Content & Technology, a.k.a DG Connect recently launched a survey (deadline April 10th 2016) on the ‘future of the internet’ as part of its Net Futures agenda, which was established to “pioneer and coordinate research, innovation, and policy initiatives on what lies beyond the current internet architecture, software and services.” Below is a copy of my submission to the survey.
In celebration of Data Protection Day (also known as Data Privacy Day), please join us for the launch of our #AnalyzeMyData campaign on Twitter. Through this campaign we hope to increase public awareness of the ways in which data is used/misused and establish an evidence base of public opinion on these issues that can be used to support future policy discussions around improved guidelines and regulations for data access consent.
Personalized information filtering by online search engines, social media, news sites and retailers represents a natural evolution in the development towards ever more finely tuned interaction with the users. Since the internet provides an overwhelming quantity of information on most topics, information overload has become one of the main concerns for users. Perceived quality of information services is therefore strongly determined by the ease with which the user can obtain some information that satisfies their current desires. For many of the most highly success internet service, like Google, Amazon.com, YouTube, Netflix and TripAdvisor, the recommender system is a key element in their success over rival services in the same sector. Some, like Netflix, openly acknowledge this even to the extent of awarding large prizes for anyone that can improve their recommender system.
As part of the “Conditions for Consent to analyze Social Media data” project within CaSMa, we have recently launched a survey to ask for your views about the type of information you would want to have before participating in social media research.
Willing consent from all parties involved in a transaction is generally accepted to be a corner stone in the foundation of ethical behavior, no matter if the interaction is of a personal (e.g. sex), professional (e.g. participation as research subject) or public (e.g. being quoted in the media) nature¹. And yet, when dealing with research, or any other interactions online, the mere facts that the interaction is mediated by machines appears to blur this fundamental concept in people’s minds.