Can platforms delete whatever content they want? Not everywhere, say the authors of this paper, which shows why certain social networks ‘must carry’ some content – and how users in some jurisdictions can force the companies to allow them into their communicative space.
In this paper we examine what data literacy means in the age of dis-/mis-/mal-information. We examine theoretical and methodological challenges researchers face when examining these two fields and how we can move forward by sharing our own experience in designing a survey to understand UK citizens data literacies.
This paper examines the existing Scottish youth digital strategies and contextualises them within a wider scholarly discourse on digital literacy and the big data divide.
The paper discusses the novel concept of critical big data literacy and presents first findings on online data literacy tools and their effects.
Focusing on two cases co-developed with Indigenous peoples in Canada, this article argues digital inclusion interventions must reflect community circumstances.
An analysis of digital exclusion risks around the transitions and ruptures that shape the life courses.
This special issue is examining the different layers of digital inclusion and data literacy by drawing on research, policy, and practice developments around literacies in various regions and contexts. It highlights the politics around them so as to propose policies that are needed to include more people in datafied societies, and what types of literacies they should learn.
Introduction: transparency in AI Transparency is indeed a multifaceted concept used by various disciplines (Margetts, 2011; Hood, 2006). Recently, it has gone through a resurgence with regards to contemporary discourses around artificial intelligence (AI). For example, the ethical guidelines published by the EU Commission’s High-Level Expert Group on AI (AI HLEG) in April 2019 states transparency as one of seven key requirements for the realisation of ‘trustworthy AI’, which also has made its clear mark in the Commission’s white paper on AI, published in February 2020. In fact, “transparency” is the single most common, and one of the key five principles emphasised in the vast number – a …
Targeted political advertising can potentially exclude voter segments from important political information, and undermine the democratic process
This paper analyses the controversial trial run of facial-recognition software at Berlin-Südkreuz, drawing on Science and Technology Studies.