‘X Journalism’. Exploring journalism’s diverse meanings through the names we give it

In this article we propose the notion of X Journalism as an observational tool and concept. It owes its existence to a simple observation: the evolution of journalism is accompanied by the emergence of ever-new journalism-related terms, i.e. combinations of the word ‘journalism’ with a particular modifying term that represents and signals a certain specificity and novelty. Examples include ‘robot journalism’, ‘foundation- funded journalism’, ‘cross-border journalism’, or ‘solutions journalism’ – just to name a few. To date, we have collected and mapped 166 X journalisms and have ‘crowd- categorized’ them into clusters according to the different aspects they refer to. We explore X Journalism as a concept, present our mapping, and show how it can help to cope with journalism’s increasing complexity, grasp the diversity of the field, trace its constant evolution, as well as identify patterns and interrelations between these different movements and occurrences. Through a test case of audience-related X journalisms we demonstrate an empirical application before illustrating the theoretical compatibility of X Journalism and suggesting a research agenda that highlights potentials for X Journalism-driven studies.<br/

Data Practices: Making Up a European People

What is “Europe” and who are “Europeans”? Data Practices approaches this contemporary political and theoretical question by treating it as a practical problem of counting. Only through the myriad data practices that make up methods such as censuses can EU member states know their national populations, and this in turn is utilized by the EU to understand the population of Europe. But this volume approaches data practices not simply as reflecting populations but as performative in two senses: they simultaneously enact—that is, “make up"—a European population and, by so doing—intentionally or otherwise—also contribute to making up a European people. The book develops a conception of data practices to analyze and interpret findings from collaborative ethnographic multisite fieldwork conducted by an interdisciplinary team of social science researchers as part of a five-year project, Peopling Europe: How Data Make a People. The book focuses on data practices that involve establishing and assigning people to categories and how this matters in enacting Europe as a population and people. Five core chapters explore key categories of people—usual residents, refugees, homeless people, migrants, and ethnic minorities—and how they come into being through specific data practices such as defining, estimating, recalibrating and inferring. Two additional chapters address two key subject positions that data practices produce and require: the data subject and the statistician subject

Large-Scale Analysis of Framework-Specific Exceptions in Android Apps

Mobile apps have become ubiquitous. For app developers, it is a key priority to ensure their apps' correctness and reliability. However, many apps still suffer from occasional to frequent crashes, weakening their competitive edge. Large-scale, deep analyses of the characteristics of real-world app crashes can provide useful insights to guide developers, or help improve testing and analysis tools. However, such studies do not exist -- this paper fills this gap. Over a four-month long effort, we have collected 16,245 unique exception traces from 2,486 open-source Android apps, and observed that framework-specific exceptions account for the majority of these crashes. We then extensively investigated the 8,243 framework-specific exceptions (which took six person-months): (1) identifying their characteristics (e.g., manifestation locations, common fault categories), (2) evaluating their manifestation via state-of-the-art bug detection techniques, and (3) reviewing their fixes. Besides the insights they provide, these findings motivate and enable follow-up research on mobile apps, such as bug detection, fault localization and patch generation. In addition, to demonstrate the utility of our findings, we have optimized Stoat, a dynamic testing tool, and implemented ExLocator, an exception localization tool, for Android apps. Stoat is able to quickly uncover three previously-unknown, confirmed/fixed crashes in Gmail and Google+; ExLocator is capable of precisely locating the root causes of identified exceptions in real-world apps. Our substantial dataset is made publicly available to share with and benefit the community.Comment: ICSE'18: the 40th International Conference on Software Engineerin

Copyright in an Era of Information Overload: Toward the Privileging of Categorizers

Environmental laws are designed to reduce negative externalities (such as pollution) that harm the natural environment. Copyright law should adjust the rights of content creators in order to compensate for the ways they reduce the usefulness of the information environment as a whole. Every new work created contributes to the store of expression, but also makes it more difficult to find whatever work one wants. Such search costs have been well-documented in information economics. Copyright law should take information overload externalities like search costs into account in its treatment of alleged copyright infringers whose work merely attempts to index, organize, categorize, or review works by providing small samples of them. They are not free riding off the labor of copyright holders, but rather are creating the types of navigational tools and filters that help consumers make sense of the ocean of expression copyright holders have created. By modeling information overload as an externality imposed by copyrighted works, this article attempts to provide a new economic justification for more favorable legal treatment of categorizers, indexers, and reviewers. Information overload is an unintended negative consequence of copyright law\u27s success in incentivizing the production and distribution of expression. If courts grant content owners the right to veto categorizers\u27 efforts to make sense of given fields of expression, they will only exacerbate the problem. Designed to promote the progress of the arts and sciences, copyright doctrine should privilege the efforts of those who make that progress accessible and understandable. Categorizers fill both those vital roles