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Echo Chambers and Filter Bubbles

The Drivers behind Anti-Immigration Facebook Groups in Estonia

The final speaker in this Social Media & Society 2018 session is Andra Siibak, whose interest is in opinion polarisation on social media and the question of whether these constitute ‘echo chambers’ or ‘filter bubbles’. Individual abilities and digital literacies might affect the extent to which users find themselves in such environments, or are aware of them. Andra examined this in the context of an anti-immigration Facebook community in Estonia.

Geographic Echo Chambers in the Brexit Campaign on Twitter

The next speaker in this session at ICA 2018 is Marco Toledo Bastos, whose interest is in the presence of echo chambers in the debate leading up to the Brexit vote. Echo chambers, especially on social media, have been blamed for the unexpected results of that referendum and a variety of other elections, but recent research has also challenged such perspectives.

Public Perceptions of Filter Bubble Concerns

The final speaker in our ICA 2018 panel is Neil Thurman. He notes that beyond the platform studies we must also look at the intersections between different social networks and platforms, and at the broader societal debate about echo chambers and filter bubbles. His work builds on the 2016 Reuters Institute Digital News Survey (covering 26 countries), and explores how aware and concerned users are of and about the algorithmic and editorial selection of the news content they engage with.

Filter Bubbles: Limited Evidence in the U.S. and Germany

The next speaker in our ICA 2018 session is Bibi Reisdorf, who focusses on how people tailor their social network connections through friending, unfriending, and blocking. This again draws on the Quello Search Project study, a survey of 14,000 search users across seven nations.

Filter Bubbles on Danish Facebook?

The second ICA 2018 session this morning is the one I have a paper in as well – we’re discussing the (scant) empirical evidence for echo chambers and filter bubbles. We start, though, with a paper by Anja Bechmann that is working with a broad sample of newsfeed data from Danish Facebook users.

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