The advent of technology positively influenced people’s lives, making them entirely dependent on it. This is because technologies altered their typical approaches of living. There is a growing pressure on news organizations to make more inexpensive content material for digital platforms, resulting in new models of low-expense or even cost-free content material production. Subscription, advertising revenues and non-profit funding are in numerous instances insufficient to sustain a mature news organization. At ‘content farms’ freelancers, component-timers and amateurs produce articles that are expected to end up higher in web searches. We analyse the background to all this, the consequences for journalists and journalism and the implications for online news organizations. Dutch newspaper De Telegraaf also employs a private business to moderate comments.
Algorithms can now automatically generate news stories on the basis of statistical data and a set of stock phrases, with no interference from human journalists. This paper analyzes reactions to the launch of a network of machine-written sport sites to see how this new technology forces journalists to re-examine their own expertise. This paper considers the way in which ‘viral’ transmission is impacting on the function of news journalists and news organisations.
Responding to automated news content, journalists highlight analytical skills, personality, creativity and the ability to write linguistically complex sentences as critical expertise defining journalism, rather than factuality, objectivity, simplification and speed. This view is discussed in the light of the commercialization of news and of previous research on the influence of technological developments on journalistic labour. It is now increasingly deemed essential to guarantee that news is produced in a form that is capable of spreading virally.
It explores how news organizations are negotiating the tensions inherent in a transition to a digital, networked media atmosphere, considering how journalism is evolving into a tentative and iterative method where contested accounts are examined and evaluated in public in actual-time. In-Degree (followers) measures a users’ reputation as a news supply and Out-Degree (following) measures openness and newsgathering by users and give insights into the structure of this underlying network. Discovering news and spreading news is the driving force in the Twitter network in between politicians and journalists.
Journalists and politicians are mutually depended on every single other and how this dependency is constructed is shown by a variety of network centrality measures, specifying their function (source versus news gatherer) and position in the network (getting a networker or not). The ‘continuously updated news story’ can modify several occasions in the course of the day and challenges the thought of news as the finished solution of journalistic function.… Read the rest