Before revision:  We do so by monitoring, on a daily basis, the structural evolution of the corresponding semantic networks . As our analysis points out, the supporters of the political alliances present at the elections are characterized by a markedly different online behavior, in turn inducing semantic networks with different topological structures. The supporters of the right-wing parties alliance display a particularly active behavior condensed in a single, densely connected cluster wherein discussions take place in conjunction with mediated events such as political talk shows.
After revision:  We do so by monitoring, on a daily basis, the structural evolution of the semantic networks they induce. Above and beyond specifying the semantic peculiarities of the Italian electoral competition, our approach innovates studies of online political discussions in two main ways. On the one hand, it grounds semantic analysis within users' behaviors by implementing a method, rooted in statistical theory, that guarantees that our inference of socio-semantic structures is not biased by any unsupported assumption about missing information; on the other, it is completely automated as it does not rest upon any manual labelling (either based on the users' features or on their sharing patterns). These elements make our method applicable to any Twitter discussion regardless of the right-wing parties alliance display a particularly active behavior condensed in a single, densely connected cluster wherein discussions take place in conjunction with mediated events such as political talk shows.