Can Social Networks Rapidly Transmit Knowledge?

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How many of our friends and neighbors are aware of California’s Proposition 30? Despite the high stakes and its potential impact on everyone from students and parents to business leaders, many Californians are not yet aware of it. Can social networks rapidly transmit knowledge about timely issues like this?

In 2009, the DOD launched an experiment to see if social networks could be mobilized to address time-critical tasks. Within three days, a team from MIT recruited thousands of people to help, and they successfully located the DOD’s 10 red weather balloons within nine hours. One key to their success was their recursive incentive mechanism.  These are well-known in marketing as pyramid schemes, but they are also useful to extract information from social networks. A Nature article published last week shows that social media, in particular messages from close friends, can have a small but significant influence on voting behavior which can make a difference in tight races. Polls show that voters who are aware of Proposition 30 are split at close to 50/50.

Can an intangible incentive structure be designed to rapidly mobilize citizens to learn about a pressing issue? Working with the AMP Lab and the CITRIS Data and Democracy Initiative, we are studying this question with a project to study how activity spreads across populations.

The website for the Proposition 30 Awareness Project allows visitors to register their awareness, then receive a custom web link to share with their friends and family using email, Facebook or Twitter. Visitors can return at any time to monitor their growing influence graph and track their influence score.   Influence is computed using a variant of the Kleinberg and Raghavan algorithm.

This experiment is the first step toward a general-purpose tool that will allow citizens to initiate their own awareness campaigns on any issue. The first example emphasizes awareness of Proposition 30 and does not advocate a position. It includes links to the California Voters Guide and to campaigns on both sides of the issue. Visitors may also indicate their position for or against the proposition and join an online discussion afterward.

We welcome you to participate in the study by visiting: http://tinyurl.com/prop30p

About Ken Goldberg

Ken Goldberg earned dual degrees in Electrical Engineering and Economics from the University of Pennsylvania in 1984 and the MS and PhD from Carnegie Mellon University in 1990. He joined the UC Berkeley faculty in 1995 and is Professor of Industrial Engineering and Operations Research, with secondary appointments in Electrical Engineering and Computer Science and the School of Information. Ken has published over 150 peer-reviewed technical papers on algorithms for robotics, automation, and social information filtering and holds eight US patents. He is Editor-in-Chief elect of the IEEE Transactions on Automation Science and Engineering (T-ASE), Co-Founder of the Berkeley Center for New Media, Co-Founder and CTO of Hybrid Wisdom Labs, Co-Founder of the Moxie Institute, and Founding Director of UC Berkeley's Art, Technology, and Culture Lecture Series. Ken's art installations, based on his research, have been exhibited internationally at venues such as the Whitney Biennial, Pompidou Center in Paris, Buenos Aires Biennial, and the ICC in Tokyo. Goldberg was awarded the Presidential Faculty Fellowship in 1995 by President Clinton, the National Science Foundation Faculty Fellowship in 1994, the Joseph Engelberger Robotics Award in 2000, and elected IEEE Fellow in 2005.