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Is seeing believing?: how recommender system interfaces affect users' opinions
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Detecting changes in opinion value distribution for voter model
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Detecting anti-majority opinionists using value-weighted mixture voter model
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Sequential and Temporal Dynamics of Online Opinion
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Opinion formation by voter model with temporal decay dynamics
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Was this review helpful to you?: it depends! context and voting patterns in online content
Proceedings of the 23rd international conference on World wide web
Demographics, weather and online reviews: a study of restaurant recommendations
Proceedings of the 23rd international conference on World wide web
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No aspect of the massive participation in content creation that the web enables is more evident than in the countless number of opinions, news and product reviews that are constantly posted on the Internet. Given their importance we have analyzed their temporal evolution in a number of scenarios. We have found that while ignorance of previous views leads to a uniform sampling of the range of opinions among a community, exposure of previous opinions to potential reviewers induces a trend following process which leads to the expression of increasingly extreme views. Moreover, when the expression of an opinion is costly and previous views are known, a selection bias softens the extreme views, as people exhibit a tendency to speak out differently from previous opinions. These findings are not only robust but also suggest simple procedures to extract given types of opinions from the population at large.