A Y S Lau1, T M Y Kwok, E Coiera. 1. Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales , Sydney, Australia.
Abstract
OBJECTIVE: To investigate whether strength of social feedback, i.e. other people who concur (or do not concur) with one's own answer to a question, influences the way one answers health questions. METHODS: Online prospective study. Two hundred and twenty-seven undergraduate students were recruited to use an online search engine to answer six health questions. Subjects recorded their pre- and post-search answers to each question and their level of confidence in these answers. After answering each question post-search, subjects were presented with a summary of post-search answers provided by previous subjects and were asked to answer the question again. RESULTS: There was a statistically significant relationship between the absolute number of others with a different answer (the crowd's opinion volume) and the likelihood of an individual changing an answer (P<0.001). For most questions, no subjects changed their answer until the first 10-35 subjects completed the study. Subjects' likelihood of changing answer increased as the percentage of others with a different answer (the crowd's opinion density) increased (P=0.047). Overall, 98.3% of subjects did not change their answer when it concurred with the majority (i.e. >50%) of subjects, and that 25.7% of subjects changed their answer to the majority response when it did not concur with the majority. When subjects had a post-search answer that did not concur with the majority, they were 24% more likely to change answer than those with answers that concurred (P<0.001). CONCLUSION: This study provides empirical evidence that crowd influence, in the form of online social feedback, affects the way consumers answer health questions.
OBJECTIVE: To investigate whether strength of social feedback, i.e. other people who concur (or do not concur) with one's own answer to a question, influences the way one answers health questions. METHODS: Online prospective study. Two hundred and twenty-seven undergraduate students were recruited to use an online search engine to answer six health questions. Subjects recorded their pre- and post-search answers to each question and their level of confidence in these answers. After answering each question post-search, subjects were presented with a summary of post-search answers provided by previous subjects and were asked to answer the question again. RESULTS: There was a statistically significant relationship between the absolute number of others with a different answer (the crowd's opinion volume) and the likelihood of an individual changing an answer (P<0.001). For most questions, no subjects changed their answer until the first 10-35 subjects completed the study. Subjects' likelihood of changing answer increased as the percentage of others with a different answer (the crowd's opinion density) increased (P=0.047). Overall, 98.3% of subjects did not change their answer when it concurred with the majority (i.e. >50%) of subjects, and that 25.7% of subjects changed their answer to the majority response when it did not concur with the majority. When subjects had a post-search answer that did not concur with the majority, they were 24% more likely to change answer than those with answers that concurred (P<0.001). CONCLUSION: This study provides empirical evidence that crowd influence, in the form of online social feedback, affects the way consumers answer health questions.
Entities:
Keywords:
Consumer decision making; crowd influence; majority influence; online information searching; social feedback
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