Some of Republican presidential candidate Donald Trump’s posts on Facebook have set off an intense debate inside the social media company over the past year, with some employees arguing certain posts about banning Muslims from entering the U.S. should be removed for violating the site’s rules on hate speech, according to people familiar with the matter.
This paper aims to shed light on the impact of personalized news media on the shared issue agenda that provides democracies with a set of topics that structure the public debate. The advent of personalized news media that use smart algorithms to tailor the news offer to the user challenges the established way of setting the agenda of such a common core of issues.
This paper tests the effects of personalized news use on perceived importance of these issues in the common core. In particular, the authors study whether personalized news use leads to a concentration at the top of the issue agenda or to a more diverse issue agenda with a long tail of topics.
Based on a cross-sectional survey of a representative population sample (n = 1,556), we find that personalized news use does not lead to a small common core in which few topics are discussed extensively, yet there is a relationship between personalized news use and a preference for less discussed topics. This is a result of a specific user profile of personalized news users: younger, more educated news users are more interested in topics at the fringes of the common core and also make more use of personalized news offers. The results are discussed in the light of media diversity and recent advances in public sphere research.
This paper contributes to the ongoing debate about algorithmic news dissemination. While, currently, much attention is reserved for the role of platforms as information gatekeepers in relationship to the news media, maybe their ability to enable or hinder the audience in discovering and distributing news content is part of what really characterizes their influence on the market place of ideas.
Google is the latest tech company to drop the longstanding wall between anonymous online ad tracking and user’s names.
Judith presented the methodological background of the tracking data collection of our project at the German association of communication science method division.
And, on the question how to conceptualize such data as a network of news items and users, a second presentation of the Personalised Team, given by Damian:
Am Wochenende sprach ich auf dem Zündfunk Netzkongress über Filter Bubbles,weshalb ich sie für absolut…
Bondskanselier Angela Merkel roept het Duitse volk op zijn traditionele angst voor het vergaren van persoonlijke informatie opzij te zetten. De Duitsers, en met name het bedrijfsleven, zouden juist de mogelijkheden van big data, grote datasets die op het internet verzameld worden, moeten omarmen.
Making a broader push to provide personalized news content, Apple is searching for journalists to run its Apple News service.