Recent celebrity deaths are predicted by Ranker Crowdsourcing, study shows

Recent celebrity deaths are predicted by Ranker Crowdsourcing, study shows
- May 13, 2013
- Research by Michael Lee, cognitive sciences professor, is featured in the San Francisco Chronicle May 13, 2013
-----
From the SF Chronicle:
An analysis of recent celebrity deaths by UCI professor of cognitive sciences, Michael
Lee, using recently published algorithms revealed that the aggregated opinions of
Ranker users about recent celebrity deaths were relatively accurate. Aggregated predictions
were better than chance and better than all but one individual users' opinion. Lee
was interested in whether “wisdom of the crowd” methods could be applied to aggregate
the individual predictions. Ranker data involved the lists provided by a total of
27 users up until early in 2013. Some users predicted as many as 25 deaths, while
some made a single prediction. The median number of predictions was eight, and, in
total, 99 celebrities were included in at least one list. At the time of analysis,
six of the 99 celebrities had passed away.
For the full story, please visit http://www.sfgate.com/business/prweb/article/Recent-Celebrity-Deaths-are....
-----
Would you like to get more involved with the social sciences? Email us at communications@socsci.uci.edu to connect.
Share on:
Related News Items
- Careet RightCGPACS Annual Conference
- Careet RightBeijing spins its narrative of history in today's Hong Kong
- Careet RightBerry earns second place poster honors at All-UC Demography Conference
- Careet RightGame Theory, Machine Learning, and Production in Sports: The Fair-Credit Baseball Statistics
- Careet RightHow California reduced foster care without risking kids (Opinion)