  Multi-party linguistic entrainment refers to the phenomenon that speakers
tend to speak more similarly during conversation. We first developed new
measures of multi-party entrainment on features describing linguistic style,
and then examined the relationship between entrainment and team characteristics
in terms of gender composition, team size, and diversity. Next, we predicted
the perception of team social outcomes using multi-party linguistic entrainment
and team characteristics with a hierarchical regression model. We found that
teams with greater gender diversity had higher minimum convergence than teams
with less gender diversity. Entrainment contributed significantly to predicting
perceived team social outcomes both alone and controlling for team
characteristics.
