Search results for "Media and communication"

2020

The current media environment is primarily characterised by a large amount of information and, in contrast, rather fragmented audience attention. This is especially true for social media, particularly Facebook, which have become important news sources for many people. Journalists cannot help but publish content on Facebook if they want to reach the part of their audience that mainly—or even only—consumes news there. On Facebook, journalists are at the mercy of the algorithm that determines the visibility of their content. Because user engagement is a crucial factor in the algorithm, concerns have been raised that journalists are abandoning their normative quality standards to make the news …

Powered by public relations? Mutual perceptions of PR practitioners’ bases of power over journalism

2017

Public relations practitioners depend on journalists to report information, and journalists count on public relations practitioners to provide information. This mutual dependence gives the two parties a degree of power over each other that can be wielded if certain resources are available. However, there are many unanswered questions about how public relations exerts power over journalists and how these influence attempts may affect news coverage. We differentiate six bases of power that public relations practitioners may use to influence journalists. To test the use of these bases of power, we conducted a quantitative survey among German journalists and public relations practitioners. Our…

Searching for Autonomy in Digital News Entrepreneurism Projects

2019

Digital entrepreneurism is often depicted as a positive disruption in the news ecosystem; it initiates new business models, fosters new ways of storytelling, and enables closer interaction with aud...

The European media discourse on immigration and its effects: a literature review

2018

To understand public opinion about immigration in Europe, one has to understand the media’s role in it. We present a literature review on research on media discourse on immigration and their effects. Despite differences in the way immigration and migrant groups are represented in European media, we can observe common patterns. Migrants are generally under-represented and shown as delinquents or criminals. Although, media framing differs based on specific migrant groups the discourse is focusing on, immigration coverage is often negative and conflict-centred. Frequent exposure to such media messages leads to negative attitudes towards migration, may activate stereotypical cognitions of migra…

2020

Current debates on online privacy are rooted in liberal theory. Accordingly, privacy is often regarded as a form of freedom from social, economic, and institutional influences. Such a negative perspective on privacy, however, focuses too much on how individuals can be protected or can protect themselves, instead of challenging the necessity of protection itself. In this article, I argue that increasing online privacy literacy not only empowers individuals to achieve (a necessarily limited) form of negative privacy, but has the potential to facilitate a privacy deliberation process in which individuals become agents of social change that could lead to conditions of positive privacy and infor…

Design and implementation of a long-range low-power wake-up radio and customized DC-MAC protocol for LoRaWAN

2019

In this paper, we present the design and implementation of a long-rage wake-up radio (WuR) and customized duty cycled (DC) MAC protocol for wireless IoT devices. The WuRx achieves a sensivity of −70 dBm by consuming just 0.032 mA, thereby optimizing the energy consumption of battery powered long-range wireless IoT devices. Reducing the power consumption of these devices minimizes the overall costs when deployed in large scale.

Multi-Control Virtual Reality Driving Simulator

2019

Immersive technologies (virtual and augmented reality) started gaining a lot of ground over the past few years initially in the video game industry, followed by simulators and finally integrated into many other classic applications. This paper aims to analyze how users respond to using new controlling devices in a scene designed as a driving simulator (race car track). The landscape and the controls are specifically tailored for interactions within immersive environments. In order to understand the capabilities of the experimental application and evaluate the new controls, several tests were conducted. The results are presented from a user experience perspective, emphasizing qualities, side…

WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition

2020

A robust and unobtrusive human activity recognition system is essential to a multitude of applications, such as health care, active assisted living, robotics, sports, and tele-immersion. Existing well-performing activity recognition methods are either vision- or wearable sensor-based. However, they are not fully passive. In this paper, we develop WiHAR—an unobtrusive Wi-Fi-based activity recognition system. WiHAR uses the Wi-Fi network interface card to capture the channel state information (CSI) data. These CSI data are effectively processed, and then amplitude and phase information is used to obtain the spectrogram. In the subsequent step, the time-variant mean Doppler shift (MDS) caused …

Taking Online Search Queries as an Indicator of the Public Agenda

2016

Recently, several studies suggested that the amount of online search queries can be used as an indicator of the public agenda. Based on former research by the authors, this article discusses the role of public uncertainty as another factor influencing search queries. Therefore, the influence of media coverage on Wikipedia searches concerning two issues is compared: one issue with uncertainty (the Enterohaemorrhagic Escherichia coli [EHEC] epidemic), and one without uncertainty (unemployment). Analyses show much stronger correlations in the case of EHEC, which suggests that online search behavior may especially be used as an indicator of the public agenda in case public uncertainty exists.

Infantile Hemangioma Detection using Deep Learning

2020

Infantile hemangiomas are the most common type of benign tumor which appear in the first weeks of life. As currently there is no robust protocol to monitor and assess the hemangioma status, this study proposes a preliminary method to detect the lesion. Therefore, in this paper we describe a hemangiomas classifier based on a linear convolutional neural network architecture. The challenge was to achieve a good classification using a relatively small internal database of 240 images from 40 different patients. The results are promising as the CNN performance evaluation showed a level of accuracy on the test set of 93.84%. Five metrics were calculated to assess the proposed model performances: a…