posted on 2007-01-01, 00:00authored byMoira Burke, Elisabeth Joyce, Tackjin Kim, Vivek Anand, Robert Kraut
Conversation is a critical element to the success of online communities, both
for the communities as a whole and the individual members. Yet conversations
often fail: Forty percent of potential thread-starting messages in Usenet groups
receive no response. When this happens, those who are trying to get information,
support, or discussion from a group receive no benefit from their efforts.
This paper presents a multi-method series of studies into community responsiveness
to two rhetorical strategies: self-disclosing introductions and making
requests. Introductions signal legitimacy and commitment, and requests reduce
community effort by making clear what is needed. An analysis of a longitudinal
sample of 40,931 messages from 99 Usenet groups shows that introductions
referencing lurking and a personal connection to the topic of discussion
increase the likelihood of getting a reply. So does making requests. Machine
learning detects introductions and requests automatically within the text. A pair
of experiments in which introductions and requests are added or removed from
previously posted messages and reposted to Usenet groups shows that introductions
referencing the group history cause an increase in reply counts, but
requests do not. The research will inform the design of an automatic intervention
triggered at the time messages are written that makes suggestions for
strengthening rhetorical strategies when the community is unlikely to respond.