Some fear that personalised communication can lead to information cocoons or filter bubbles. For instance, a personalised news website could give more prominence to conservative or liberal media items, based on the (assumed) political interests of the user. As a result, users may encounter only a limited range of political ideas. We synthesise empirical research on the extent and effects of self-selected personalisation, where people actively choose which content they receive, and pre-selected personalisation, where algorithms personalise content for users without any deliberate user choice. We conclude that at present there is little empirical evidence that warrants any worries about filter bubbles
Search engines and social media keep trace of profile- and behavioral-based distinct signals of thei...
Online web services such as Google and Facebook started using personalization algorithms. Because in...
There is public and scholarly debate about the effects of personalized recommender systems implement...
Some fear that personalised communication can lead to information cocoons or filter bubbles. For ins...
While the amount of information available has exponentially increased, our cognitive abilities to pr...
In the last decade, digital filter bubbles have become widely discussed phenomena in different field...
The aim of this study was to investigate the perception of personalization on news applications and ...
People increasingly use personalizing news aggregators for acquiring news online. Despite benefits s...
This study derives from a located a gap in the methodological coverage and ways inwhich filter bubbl...
In 2011 Eli Pariser coined the term ‘filter bubble’ and warned that online algorithm driven filters ...
Personalisation of media content is not a new phenomenon. Now, however, by configuring our search re...
Introduced by tech entrepreneur and activist Eli Pariser in 2011, the ‘filter bubble’ is a persisten...
When talking about personalization online, Google CEO Eric Schmidt recently said "it will be very ha...
It is commonly assumed that algorithmic curation of search results creates filter bubbles, where use...
The increasing use of recommender systems to provide personalized news delivery influences media sys...
Search engines and social media keep trace of profile- and behavioral-based distinct signals of thei...
Online web services such as Google and Facebook started using personalization algorithms. Because in...
There is public and scholarly debate about the effects of personalized recommender systems implement...
Some fear that personalised communication can lead to information cocoons or filter bubbles. For ins...
While the amount of information available has exponentially increased, our cognitive abilities to pr...
In the last decade, digital filter bubbles have become widely discussed phenomena in different field...
The aim of this study was to investigate the perception of personalization on news applications and ...
People increasingly use personalizing news aggregators for acquiring news online. Despite benefits s...
This study derives from a located a gap in the methodological coverage and ways inwhich filter bubbl...
In 2011 Eli Pariser coined the term ‘filter bubble’ and warned that online algorithm driven filters ...
Personalisation of media content is not a new phenomenon. Now, however, by configuring our search re...
Introduced by tech entrepreneur and activist Eli Pariser in 2011, the ‘filter bubble’ is a persisten...
When talking about personalization online, Google CEO Eric Schmidt recently said "it will be very ha...
It is commonly assumed that algorithmic curation of search results creates filter bubbles, where use...
The increasing use of recommender systems to provide personalized news delivery influences media sys...
Search engines and social media keep trace of profile- and behavioral-based distinct signals of thei...
Online web services such as Google and Facebook started using personalization algorithms. Because in...
There is public and scholarly debate about the effects of personalized recommender systems implement...