Beyond the filter bubble: concepts, myths, evidence and issues for future debates
Abstract
In recent years, we have been witnessing a fundamental shift in the form how news and current affairs are disseminated and mediated. Due to the exponential increase in available content online and technological development in the field of recommendation systems, more and more citizens are informing themselves through customized and curated sources, while turning away from mass-mediated information sources like TV news and newspapers. Algorithmic recommendation systems provide news users with tools to navigate the information overload and identify important and relevant information. They do so by performing a task that was once a key part of the journalistic profession: keeping the gates. In a way, news recommendation algorithm can create highly individualized gates, through which only information and news fit that serves the user best. In theory, this is a great achievement that can make news exposure more efficient and interesting. In practice, there are many pitfalls when the power to select what we hear from the news shifts from professional editorial boards that select the news according to professional standards to opaque algorithms who are reigned by their own logic, the logic of advertisers or consumes personal preferences.
filter bubbles, Journalistiek, Mediarecht
Bibtex
Report{Möller2018b,
title = {Beyond the filter bubble: concepts, myths, evidence and issues for future debates},
author = {Möller, J. and Helberger, N.},
url = {https://www.ivir.nl/publicaties/download/Beyond_the_filter_bubble__concepts_myths_evidence_and_issues_for_future_debates.pdf},
year = {0705},
date = {2018-07-05},
abstract = {In recent years, we have been witnessing a fundamental shift in the form how news and current affairs are disseminated and mediated. Due to the exponential increase in available content online and technological development in the field of recommendation systems, more and more citizens are informing themselves through customized and curated sources, while turning away from mass-mediated information sources like TV news and newspapers. Algorithmic recommendation systems provide news users with tools to navigate the information overload and identify important and relevant information. They do so by performing a task that was once a key part of the journalistic profession: keeping the gates. In a way, news recommendation algorithm can create highly individualized gates, through which only information and news fit that serves the user best. In theory, this is a great achievement that can make news exposure more efficient and interesting. In practice, there are many pitfalls when the power to select what we hear from the news shifts from professional editorial boards that select the news according to professional standards to opaque algorithms who are reigned by their own logic, the logic of advertisers or consumes personal preferences.},
keywords = {filter bubbles, Journalistiek, Mediarecht},
}