The web will kill them all: new media, digital utopia, and political struggle in the Italian 5-Star Movement

This article examines the role of discourses about new media technology and the web in the rise of the 5-Star Movement (Movimento 5 Stelle, or M5S) in Italy. Founded by comedian and activist Beppe Grillo and web entrepreneur Gianroberto Casaleggio in 2009, this movement succeeded in becoming the second largest party at the 2013 national elections in Italy. This article aims to discuss how elements of digital utopia and web-centric discourses have been inserted into the movement's political message, and how the construction of the web as a myth has shaped the movement's discourse and political practice. The 5-Star Movement is compared and contrasted with other social and political movements in western countries which have displayed a similar emphasis on new media, such as the Occupy movement, the Indignados movement, and the Pirate Parties in Sweden and Germany. By adopting and mutating cyber-utopian discourses from the so-called Californian ideology, the movement symbolically identifies itself with the web. The traditional political establishment is associated with "old" media (television, radio, and the printed press), and represented as a "walking dead," doomed to be superseded and buried by a web-based direct democracy

E-readers and the death of the book: or, new media and the myth of the disappearing medium

The recent emergence of e-readers and electronic books (e-books) has brought the death of the book to the centre of current debates on new media. In this article, we analyse alternative narratives that surround the possibility of the disappearance of print books, dominated by fetishism, fears about the end of humanism and ideas of techno-fundamentalist progress. We argue that in order to comprehend such narratives, we need to inscribe them in the broader history of media. The emergence of new media, in fact, has often been accompanied by narratives about the possible disappearance of older media: the introduction of television, for instance, inspired claims about the forthcoming death of film and radio. As a recurrent narrative shaping the reception of media innovation, the myth of the disappearing medium helps us to make sense of the transformations that media change provokes in our everyday life

Imagining the thinking machine: Technological myths and the rise of artificial intelligence

This article discusses the role of technological myths in the development of Artificial Intelligence (AI) technologies from 1950s to the early 1970s. It shows how the rise of AI was accompanied by the construction of a powerful cultural myth: the creation of a thinking machine, which would be able to perfectly simulate the cognitive faculties of the human mind. Based on a content analysis of articles on Artificial Intelligence published in two magazines, the Scientific American and the New Scientist, which were aimed at a broad readership of scientists, engineers, and technologists, three dominant patterns in the construction of the AI myth are identified: (1) the recurrence of analogies and discursive shifts, by which ideas and concepts from other fields were employed to describe the functioning of AI technologies; (2) a rhetorical use of the future, imagining that present shortcomings and limitations will shortly be overcome; (3) the relevance of controversies around the claims of AI, which we argue should be considered as an integral part of the discourse surrounding the AI myth

Semantic typing of linked geoprocessing workflows

<p>In Geographic Information Systems (GIS), geoprocessing workflows allow analysts to organize their methods on spatial data in complex chains. We propose a method for expressing workflows as linked data, and for semi-automatically enriching them with semantics on the level of their operations and datasets. <i>Linked workflows</i> can be easily published on the Web and queried for types of inputs, results, or tools. Thus, GIS analysts can reuse their workflows in a modular way, selecting, adapting, and recommending resources based on compatible semantic types. Our typing approach starts from minimal annotations of workflow operations with classes of GIS tools, and then propagates data types and implicit semantic structures through the workflow using an OWL typing scheme and SPARQL rules by backtracking over GIS operations. The method is implemented in Python and is evaluated on two real-world geoprocessing workflows, generated with Esri's ArcGIS. To illustrate the potential applications of our typing method, we formulate and execute competency questions over these workflows.</p

Learning urban form through unsupervised graph-convolutional neural networks

Graph theory has long provided the basis for the computa-tional  modelling  of  urban  flows  and  networks  and,  thus,  for  the  studyof urban form. The development of graph-convolutional neural networksoffers the opportunity to explore new applications of deep learning ap-proaches  in  urban  studies.  In  this  paper,  we  propose  an  unsupervisedgraph representation learning framework for analysing urban street net-works. Our results illustrate how a model trained on a 1% random sampleof street junctions in the UK can be used to explore the urban form of thecity of Leicester, generating embeddings which are similar but distinctfrom  classic  metrics  and  able  to  capture  key  aspects  such  as  the  shiftfrom urban to suburban structures. We conclude by outlining the cur-rent limitations and potential of the proposed framework for the studyof urban form and function.</p

Defining Natural Points of Interest

This paper contributes to the working definition of natural points of interest(NPOI). We combine a theory-driven approach exploring existing definitions of points of interest and natural features and a data-driven approach in which we systematically assess datapoints from three separate data sources, proposing a set of criteria for the classification of natural points of interest