65 research outputs found

    How did the British media represent European political parties during the European parliament elections, 2014: a Europeanized media agenda?

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    The European Parliament election of 2014 generated much interest on account of the rise of a whole array of populist ‘anti-EU’ parties. This was widely reported in the British media but did that coverage give British news consumers an insight into the character of these parties, where they stood in relation to one another and where they stood in relation to Britain’s own UKIP? This paper sets out to examine not only how much coverage there was in the British media about European political parties but also whether that coverage enabled citizens to get a sense of the political positioning of populist anti-EU parties. These questions touch on the extent to which British media reflect and comment on populist parties, European affairs and hence on the Europeanization of the news agenda

    What does fake look like? A review of the literature on intentional deception in the news and on social media

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    This paper focuses on the content features of intentional deceptive information in the news (i.e., fake news) and on social media. Based on an extensive review of relevant literature (i.e., political journalism and communication, computational linguistics), we take stock of existing knowledge and present an overview of the structural characteristics that are indicative of intentionally deceptive information. We discuss the strength of underlying empirical evidence and identify underdeveloped areas of research. With this paper, we aim to contribute to the systematic study of intentional deception in the news and on social media and to help setting up new lines of research in which intentionally deceptive news items can be operationalized in consistent ways

    MetNetAPI: A flexible method to access and manipulate biological network data from MetNet

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    <p>Abstract</p> <p>Background</p> <p>Convenient programmatic access to different biological databases allows automated integration of scientific knowledge. Many databases support a function to download files or data snapshots, or a webservice that offers "live" data. However, the functionality that a database offers cannot be represented in a static data download file, and webservices may consume considerable computational resources from the host server.</p> <p>Results</p> <p>MetNetAPI is a versatile Application Programming Interface (API) to the MetNetDB database. It abstracts, captures and retains operations away from a biological network repository and website. A range of database functions, previously only available online, can be immediately (and independently from the website) applied to a dataset of interest. Data is available in four layers: molecular entities, localized entities (linked to a specific organelle), interactions, and pathways. Navigation between these layers is intuitive (e.g. one can request the molecular entities in a pathway, as well as request in what pathways a specific entity participates). Data retrieval can be customized: Network objects allow the construction of new and integration of existing pathways and interactions, which can be uploaded back to our server. In contrast to webservices, the computational demand on the host server is limited to processing data-related queries only.</p> <p>Conclusions</p> <p>An API provides several advantages to a systems biology software platform. MetNetAPI illustrates an interface with a central repository of data that represents the complex interrelationships of a metabolic and regulatory network. As an alternative to data-dumps and webservices, it allows access to a current and "live" database and exposes analytical functions to application developers. Yet it only requires limited resources on the server-side (thin server/fat client setup). The API is available for Java, Microsoft.NET and R programming environments and offers flexible query and broad data- retrieval methods. Data retrieval can be customized to client needs and the API offers a framework to construct and manipulate user-defined networks. The design principles can be used as a template to build programmable interfaces for other biological databases. The API software and tutorials are available at <url>http://www.metnetonline.org/api</url>.</p

    A survey of visualization tools for biological network analysis

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    The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneity provides a challenge for the visualization of the data. There are a wide variety of graph representations available, which most often map the data on 2D graphs to visualize biological interactions. These methods are applicable to a wide range of problems, nevertheless many of them reach a limit in terms of user friendliness when thousands of nodes and connections have to be analyzed and visualized. In this study we are reviewing visualization tools that are currently available for visualization of biological networks mainly invented in the latest past years. We comment on the functionality, the limitations and the specific strengths of these tools, and how these tools could be further developed in the direction of data integration and information sharing

    Facebook affordances and citizen engagement during elections: European political parties and their benefit from online strategies?

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    This paper examines how Facebook is used by political parties during elections to extend or accelerate their reach within the electorate and how successful these efforts are. Specifically, we compare the content and style of parties’ Facebook posts during the 2014 European parliament elections, and how this affects followers’ responses in terms of liking, sharing and commenting on the posts. Our findings reveal while that the timing and visual content of posts are important in increasing voters’ attention, interactivity matters most. Responsive party posts on Facebooks are significantly more likely to be shared, liked, and commented on by users. Given that follower reactions, particularly sharing, helps to increase the visibility of party communication through indirect or two-step flow communication (online and offline), these findings are important in advancing our understanding of how and why social media campaigns are able to influence voters and thus affect election outcomes. For parties themselves the results provide some useful insights into what makes for an ‘effective’ Facebook campaign in terms of how they can accelerate the reach of their communication
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