Despite the increasing use of social media among personalities such as politicians, athletes, and entertainment celebrities, little is known about the intensity of competition that these popular users engage in to draw the attention of other users, and how their competition affects the users'...

Monetary policy announcements of major central banks trigger substantial discussions about the policy on social media. In this paper, we use machine learning tools to identify Twitter messages related to monetary policy in a short-time window around the release of policy decisions of three major...

We study the role of perceived threats from other cultures induced by terrorist attacks and by a criminal event on public discourse and voters’ support for radical right parties. We first develop a rule which allocates Twitter users in Germany to electoral districts and then use a machine...

We study the role of perceived threats from cultural diversity induced by terrorist attacks and a salient criminal event on public discourse and voters' support for far-right parties. We first develop a rule which allocates Twitter users in Germany to electoral districts and then use a machine...

This paper explores the relationship between central bank communication and market sentiment,and proposes a new measure. Market sentiment is proxied using a Twitter-based metric: theCentral Bank Surprise Index. The empirical study covers three cases: the Federal Reserve, theEuropean Central Bank...