Today, there is an emerging interest for the potential role of hermeneutics in reflecting on the practices related to digital technologies and their consequences. Nonetheless, such an interest has not yet given rise to a unitary approach nor to a shared debate. The primary goal of this paper is to map and synthetize the different existing perspectives in order to pave the way for an open discussion on the topic. The article is developed in two steps. In the first section, the authors analyse digital hermeneutics "in theory" by confronting and systematising the existing literature. In particular, they stress three main distinctions among the approaches: 1) between "methodological" and "ontological" digital hermeneutics; 2) between data-and text-oriented digital hermeneutics and 3) between "quantitative" and "qualitative" credos in digital hermeneutics. In the second section, they consider digital hermeneutics "in action", by critically analysing the uses of digital data (notably tweets) for studying a classical object such as the political opinion. In the conclusion, we will pave the way to an ontological turn in digital hermeneutics. Most of this article is devoted to the methodological issue of interpreting with digital machines. The main task of an ontological digital hermeneutics would consist instead in wondering if it is legitimate, and eventually to which extent, to speak of digital technologies, or at least of some of them, as interpretational machines.
In recent years, decision makers have reported difficulties in the use of official statistics in public policy: excessively long publication delays, insufficient coverage of topics of interest, and the top‐down process of data creation. The deluge of data available online represents a potential answer to these problems, with social media data in particular as a possible alternative to traditional data. In this article, we propose a definition of “Soft Data” to indicate data that are freely available on the Internet, and that are not controlled by a public administration but rather by public or private actors. The term Soft Data is not intended to replace those of “Big Data” and “Open Data,” but rather to highlight specific properties and research methods required to convert them into information of interest for decision makers. The analysis is based on a case study of Twitter data for urban policymaking carried out for a European research program aimed at enhancing the effectiveness of European cohesion policy. The article explores methodological issues and the possible impact of “Soft Data” on public policy, reporting on semistructured interviews carried out with nine European policymakers.
International audienceThe 2003 Unesco Convention for the safeguarding of the intangible cultural heritage (ICH) is addressed to States and assigns them several tasks. No State, however, can accomplish all these tasks without mobilizing a wide network of institutions, associations and individuals. The national ICH policies intersect, overlap and often transform the existing relationships among these actors. This paper aims at comparing several national networks (France, Italy, Switzerland) involved in the implementation of the 2003 Unesco Convention in order to highlight national trends and specificities. The analysis will employ an innovative methodology based on digital methods and aimed at exploring the landscapes of websites dedicated to the intangible heritage. Analyzing the hyperlinking strategies of ICH actors, we will identify the specific web topology of each nation, showing which actors are central and peripheral, whether clusters or cliques are formed and who plays the roles of authority and hub
International audiencePurpose– Print theses and dissertations have regularly been submitted together with complementary material, such as maps, tables, speech samples, photos or videos, in various formats and on different supports. In the digital environment of open repositories and open data, these research results could become a rich source of research results and data sets, for reuse and other exploitation. The paper aims to discuss these issues.Design/methodology/approach– After introducing electronic theses and dissertations (ETD) into the context of eScience, the paper investigates some aspects that impact the availability and openness of data sets and other supplemental files related to ETD (system architecture, metadata and data retrieval, legal aspects).Findings– These items are part of the so-called “small data” of eScience, with a wide range of contents and formats. Their heterogeneity and their link to ETD need specific approaches to data curation and management, with specific metadata and identifiers and with specific services, workflows and systems. One size may not fit for all but it seems appropriate to separate text and data files. Regarding copyright and licensing, data sets must be evaluated carefully but should not be processed and disseminated under the same conditions as the related PhD theses. Some examples are presented.Research limitations/implications– The paper concludes with recommendations for further investigation and development to foster open access to research results produced along with PhD theses.Originality/value– ETDs are an important part of the content of open repositories. Yet, their potential as a gateway to underlying research results has not really been explored so far
This article discusses the value of gift exchange in online social media. In the first part, the authors show how most of the commentators have considered online gifting as an alternative to the classical market economy. Yet the recent (re)territorialization of the web challenges this perspective. As a consequence, the internet can no longer be considered a reply to capitalism. In the second part, the authors argue that in anthropology and social philosophy the term ‘gift’ has often been used improperly, and that gift exchange has nothing to do with goods exchange, but with mutual recognition. In the third part, they use this definition to stress the importance of gift circulation through Facebook’s ‘Like’ button and the Twitter feature called ‘Mention’. In conclusion, the authors deal with the ‘Like economy’, i.e. the interference between gift exchange and market economy which is daily at work online.
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