hide
Free keywords:
cs.SI
Abstract:
With rapid increase in online information consumption, especially via social
media sites, there have been concerns on whether people are getting selective
exposure to a biased subset of the information space, where a user is receiving
more of what she already knows, and thereby potentially getting trapped in echo
chambers or filter bubbles. Even though such concerns are being debated for
some time, it is not clear how to quantify such echo chamber effect. In this
position paper, we introduce Information Segregation (or Informational
Segregation) measures, which follow the long lines of work on residential
segregation. We believe that information segregation nicely captures the notion
of exposure to different information by different population in a society, and
would help in quantifying the extent of social media sites offering selective
(or diverse) information to their users.
