Fact-check spread is usually performed by a plain tweet with just the link. Since it is not proper human behavior, it may cause uncanny, hinder the reader’s attention and harm the counter-propaganda influence. This paper presents a profile of fact-check link spread in Twitter (suiting for TRL-1) and, as an additional outcome, proposes a preliminary behavior design based on it (suiting for TRL-2). The underlying hypothesis is by simulating human-like behavior, a bot gets more attention and exerts more influence on its followers.This work has been supported by national funds through FCT Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019
