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We present three models used to describe the recruitment of the undecidedpopulation by pro-vax and no-vax factions. Starting from real-world data ofFacebook pages, we compare three opinion dynamics models that catch differentbehaviours of the undecided population.  The first one is a variation of the SIS model, where undecided position isconsidered indifferent. Neutrals can be "infected" by one of the two extremefactions, joining their side, and they "recover" when they lose interest in thedebate and go back to neutrality.  The second model is a three parties Voters model: neutral pages represent acentrist position. They lean their original ideas, that are different from boththe other parties.  The last is the Bilingual model adapted to the vaccination debate: neutralindividuals are in agreement with both pro-, ad anti-vax factions, with aposition of compromise between the extremes ("bilingualism''). If they have aone-sided neighbourhood, the convenience to agree with both parties comes out,and bi-linguists can become mono-linguists.  Our results depicts an agreement between the three models: anti-vax opinionpropagates more than pro-vax, thanks to an initial strategic position in theonline social network (even if they start with a smaller population). Whilemost of the pro-vaccines nodes are segregated in their own communities,no-vaccines ones are entangled at the core of the network, where the majorityof undecided population is located.  In the last section, we propose and compare some policies that could beapplied on the network to prevent anti-vax overcome: they lead us to concludethat censoring strategies are not effective, as well as segregating scenariosbased on unfollowing decisions, while the addition of links in the networkfavours the containment of the pro-vax domain, reducing the distance betweenpro-vaxxers and undecided population.

Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate