Recently, all major search engines introduced a new feature: real-time search results, embedded in the ﬁrst page of organic search results. The content appearing in these results is pulled within minutes of its generation from the so-called “real-time Web” such as Twitter, blogs, and news websites. In this paper, we argue that in the context of political speech, this feature provides disproportionate exposure to personal opinions, fabricated content, unveriﬁed events, lies and misrepresentations that otherwise would not ﬁnd their way in the ﬁrst page, giving them the opportunity to spread virally. To support our argument we provide concrete evidence from the recent Massachusetts (MA) senate race between Martha Coakley and Scott Brown, analyzing political community behavior on Twitter. In the process, we analyze the Twitter activity of those involved in exchanging messages, and we ﬁnd that it is possible to predict their political orientation and detect attacks launched on Twitter, based on behavioral patterns of activity.