  To promote constructive discussion of controversial topics online, we propose
automatic reframing of disagreeing responses to signal receptiveness to a
preceding comment. Drawing on research from psychology, communications, and
linguistics, we identify six strategies for reframing. We automatically reframe
replies to comments according to each strategy, using a Reddit dataset. Through
human-centered experiments, we find that the replies generated with our
framework are perceived to be significantly more receptive than the original
replies and a generic receptiveness baseline. We illustrate how transforming
receptiveness, a particular social science construct, into a computational
framework, can make LLM generations more aligned with human perceptions. We
analyze and discuss the implications of our results, and highlight how a tool
based on our framework might be used for more teachable and creative content
moderation.
