In recent years, digitalization has detached television content from the television screen, and so the television is no longer the only choice for personal audiovisual consumption. The audio-visual market is facing increased fragmentation due to the multiplicity of delivering platforms. Furthermore, the digital touch has brought about far-reaching changes in people’s audio-visual consumption practices. The protagonists of this new digital landscape are the members of Generation Z (GenZ), who are early adopters of the digital innovation. In this article, contemporary consumption behaviours of audio-visual content, contrasting those at the times of traditional television viewing, are explored in the context of the GenZ community. In Greece, GenZ represent nearly 20 per cent of the entire population and makes an interesting target to be scrutinized under the prism of ongoing studies of media usage.
In recent decades, journalism has undergone considerable transformation, initially fuelled by the digitalization of journalistic work flows and subsequently by the introduction of the Internet, its services, and its effects. Since contemporary journalists employ multiple digital tools and services to gather, administrate, and process information for public consumption, new types/genres of journalism have emerged. Among these, data journalism is one of the most prominent, introduced due to the availability of data in digital form and also to the abundance of efficient online tools that help users analyze, visualize, and publish large amounts of data. Indeed, it is not only the journalistic profession that has changed, but the communication process itself, which has been fundamentally altered to meet the public's current needs and demands. This paper introduces and examines the mediated data model of communication flow to describe these new norms in the mass communication process. Using big data as a case study and moving on to data journalism, we provide a theoretical overview of the model, employing the theory of the two-step flow of communication as a starting point, while attempting to shed light on the current communication process between journalists/media and their initial sources of information.
This study examines agenda setting in the context of Greek politics while assessing constructs of salience evolving through new journalism trends and advances in digital media. Through an exploration of the rise of Alexis Tsipras and his party, SYRIZA, the authors investigate emerging indices of salience as predictors of public salience. Along with mainstream media salience and conventional public salience, the authors generate evidence on mediated trends and word-of-mouth salience. Although there is evidence of the evolving nature of salience derived from all indices under scrutiny, word-of-mouth salience registered as the most significant predictor of Tsipras’ public approval.
With the advent of Web 2.0, new forms of journalism arose, paving the way for the implementation of computational and automatization processes in all aspects of mass communication. As such, chatbots have already been adapted in the news media platforms bringing forward a series of issues and effects upon journalistic narrative, content and professional practices. This paper presents the role of chatbots and their characteristics, discusses the application of different types of chatbots in the news media and presents a theoretical overview of the advantages and disadvantages regarding their adaptation in journalism, as well as key ethical concerns connected to the emergence of this new journalistic narrative.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.