The effectiveness of biodiversity conservation interventions is often dependent on local resource users' underlying social interactions. However, it remains unclear how fine-scale differences in information shared between resource users can influence network structure and the success of behavior-change interventions. Using network null models that incorporate a pre-network data permutation procedure, we compare information-sharing networks in a Peruvian fishing community where a trial conservation intervention is underway to reduce the incidental capture of sea turtles (bycatch). We show that the general network structure detailing information sharing about sea turtle bycatch differs from other fishing-related information sharing, specifically in degree assortativity and eccentricity. This finding highlights the importance of assessing social networks in contexts directly relevant to the desired intervention and that fine-scale differences in the information shared between resource users may influence network structure. Our findings also demonstrate how null model approaches developed in the ecological sciences can elucidate important differences between human networks and identify the social contexts which might be more or less appropriate for information-sharing related to conservation interventions.