Title: Mitigating Confirmation Bias on Twitter by Recommending Opposing Views,
Abstract: In this work, we propose a content-based recommendation approach to increase
exposure to opposing beliefs and opinions. Our aim is to help provide users
with more diverse viewpoints on issues, which are discussed in partisan groups
from different perspectives. Since due to the backfire effect, people's
original beliefs tend to strengthen when challenged with counter evidence, we
need to expose them to opposing viewpoints at the right time. The preliminary
work presented here describes our first step into this direction. As
illustrative showcase, we take the political debate on Twitter around the
presidency of Donald Trump.