In this paper, we study the relationship between social media and traditional media and their impact on democratic systems. We revisit the concepts of the public sphere and agenda‐setting and translate them into the current media landscape. Using topic‐modelling techniques, we then explore the effects of first level agenda‐setting in the Twitter debate on the Brexit referendum. Our results reveal a complex dynamic in the transmission of the media agenda to the public agenda. The traditional media dominated the debate, but not entirely, as alternative media played an important role in the campaign. The “Leave” campaign had more success in the transmission of its interpretative agenda, while the user‐generated content polarized the media's message. We conclude a list of recommendations to address the societal challenges posed by the transformation of the media environments.
Currently, web and mobile-based systems exchange information with other services, mostly through APIs that extend the functionality and enable multipart interoperable information exchange. Most of this is accomplished through the usage of RESTful APIs and data exchange that is conducted using JSON over the HTTP or HTTPS protocol. In the case of the exchange requires some specific security requirements, SSL/TLS protocol is used to create a secure authenticated channel between the two communication end-points. This is a scenario where all the content of the channels is encrypted and is useful if the sender and the receptor are the only communicating parties, however this may not be the case. The authors of this paper, present a granular mechanism for selectively offering confidentiality and integrity to JSON documents, through the usage of public-key cryptography, based on the mechanisms that have been used also to provide XML security. The paper presents the proposal of the syntax for the SecJSON mechanism and an implementation that was created to offer developers the possibility to offer this security mechanism into their own services and applications.
The Production and Distributed Analysis system (PanDA) [1] in the ATLAS experiment [2] uses pilots to execute submitted jobs on the worker nodes. The pilots are designed to deal with different runtime conditions and failure scenarios, and support many storage systems. This talk will give a brief overview of the PanDA pilot [3] system and will present major features and recent improvements including CernVM [4] File System integration, the job retry mechanism, advanced job monitoring including JEM technology [5], and validation of new pilot code using the HammerCloud stress-testing system. PanDA is used for all ATLAS distributed production and is the primary system for distributed analysis. It is currently used at over 100 sites worldwide. We analyze the performance of the pilot system in processing LHC data on the OSG [6], EGI [7] and Nordugrid [8] infrastructures used by ATLAS, and describe plans for its further evolution.
The resident set size of the job increased during its runtime, well over the assigned 2GB, while the free RAM and the free swap of the WN decreased significantly as other jobs of the same user
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