Before revision:  Due to the high influence that links' disposition has on users' navigation sessions, one needs to verify that, given a controversial topic, the  hyperlinks' network does not expose users to only one side of the subject. A Wikipedia's topic-induced network that prevents users the discovery of different facets of an issue, suffers from structural bias.
After revision:  Due to the high influence that links' disposition has on users' navigation sessions, one needs to verify that, given a controversial topic, the hyperlinks' network . In this paper, we shed light on this overlooked phenomenon by investigating how articles describing complementary subjects of a topic interconnect, and thus may shape readers' exposure to diverging content. To quantify this, we introduce the exposure to diverse information, a metric that captures how users' exposure to multiple subjects of a topic varies click-after-click by leveraging navigation models. For the experiments, we collected six topic-induced network that prevents users the discovery of different facets of an issue, suffers from structural bias.