Our aim is to know more about the content of a message that is trusted in order to create template messages that users can configure within a system we are designing. To this end, we examine messages that have been forwarded within the social network Twitter in the context of health and fitness. Using content analysis we divide the messages into 3 categories of trust evidence: continuity, competence and motivation. Motivational messages were the most common.