source: Indiana University
Indiana University researchers have found that people who seek out news and information from social media are at higher risk of becoming trapped in a “collective social bubble” compared to using search engines.
The study, “Measuring online social bubbles,” was recently published in the open-access online journal PeerJ Computer Science. The results are based on an analysis of over 100 million Web clicks and 1.3 billion public posts on social media.
“These findings provide the first large-scale empirical comparison between the diversity of information sources reached through different types of online activity,” said Dimitar Nikolov, a doctoral student in the School of Informatics and Computing at IU Bloomington, who is lead author on the study. “Our analysis shows that people collectively access information from a significantly narrower range of sources on social media compared to search engines.”
Read more by clicking on the name of the source below.