We study the impact of friend recommender systems on the social influence of misinformation spreaders on Twitter. We applied several user recommenders to a COVID-19 misinformation data collection. Then, we explore what-if scenarios to simulate changes in user misinformation spreading behaviour as an effect of the interactions in the recommended network.