Twitter の情報信頼性

Information Credibility on Twitter
http://www.www2011india.com/proceeding/proceedings/p675.pdf


We analyze the information credibility of news propagated
through Twitter, a popular microblogging service. Previous
research has shown that most of the messages posted on
Twitter are truthful, but the service is also used to spread
misinformation and false rumors, often unintentionally.
On this paper we focus on automatic methods for assessing the credibility of a given set of tweets. Specifically, we
analyze microblog postings related to “trending” topics, and
classify them as credible or not credible, based on features
extracted from them. We use features from users’ posting
and re-posting (“re-tweeting”) behavior, from the text of the
posts, and from citations to external sources.
We evaluate our methods using a significant number of
human assessments about the credibility of items on a recent
sample of Twitter postings. Our results shows that there are
measurable differences in the way messages propagate, that
can be used to classify them automatically as credible or
not credible, with precision and recall in the range of 70%
to 80%