Computer Science – Social and Information Networks
Scientific paper
2012-04-16
Computer Science
Social and Information Networks
Presented at Collective Intelligence conference, 2012 (arXiv:1204.2991)
Scientific paper
This paper is focused on the computational analysis of collective discourse, a collective behavior seen in non-expert content contributions in online social media. We collect and analyze a wide range of real-world collective discourse datasets from movie user reviews to microblogs and news headlines to scientific citations. We show that all these datasets exhibit diversity of perspective, a property seen in other collective systems and a criterion in wise crowds. Our experiments also confirm that the network of different perspective co-occurrences exhibits the small-world property with high clustering of different perspectives. Finally, we show that non-expert contributions in collective discourse can be used to answer simple questions that are otherwise hard to answer.
Qazvinian Vahed
Radev Dragomir R.
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