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We present an intelligent, crowd-powered information collection system thatautomatically identifies and asks target-ed strangers on Twitter for desiredinformation (e.g., cur-rent wait time at a nightclub). Our work includes threeparts. First, we identify a set of features that characterize ones willingnessand readiness to respond based on their exhibited social behavior, includingthe content of their tweets and social interaction patterns. Second, we use theidentified features to build a statistical model that predicts ones likelihoodto respond to information solicitations. Third, we develop a recommendationalgorithm that selects a set of targeted strangers using the probabilitiescomputed by our statistical model with the goal to maximize the over-allresponse rate. Our experiments, including several in the real world,demonstrate the effectiveness of our work.

Recommending Targeted Strangers from Whom to Solicit Information on Social Media