  Social media for news consumption is becoming increasingly popular due to its
easy access, fast dissemination, and low cost. However, social media also
enable the wide propagation of "fake news", i.e., news with intentionally false
information. Fake news on social media poses significant negative societal
effects, and also presents unique challenges. To tackle the challenges, many
existing works exploit various features, from a network perspective, to detect
and mitigate fake news. In essence, news dissemination ecosystem involves three
dimensions on social media, i.e., a content dimension, a social dimension, and
a temporal dimension. In this chapter, we will review network properties for
studying fake news, introduce popular network types and how these networks can
be used to detect and mitigation fake news on social media.
