  Bots are, for many Web and social media users, the source of many dangerous
attacks or the carrier of unwanted messages, such as spam. Nevertheless,
crawlers and software agents are a precious tool for analysts, and they are
continuously executed to collect data or to test distributed applications.
However, no one knows which is the real potential of a bot whose purpose is to
control a community, to manipulate consensus, or to influence user behavior. It
is commonly believed that the better an agent simulates human behavior in a
social network, the more it can succeed to generate an impact in that
community. We contribute to shed light on this issue through an online social
experiment aimed to study to what extent a bot with no trust, no profile, and
no aims to reproduce human behavior, can become popular and influential in a
social media. Results show that a basic social probing activity can be used to
acquire social relevance on the network and that the so-acquired popularity can
be effectively leveraged to drive users in their social connectivity choices.
We also register that our bot activity unveiled hidden social polarization
patterns in the community and triggered an emotional response of individuals
that brings to light subtle privacy hazards perceived by the user base.
