Cal Berkeley researchers have launched a new website to explore how political knowledge can be spread rapidly across big populations using social media – and their test subject is one of this election season’s hottest issues.
The project, from UC’s CITRIS Data and Democracy Initiative, aims to develop a general-purpose system that can be used for a wide variety of issues, but for now it’s being tested on just one: Proposition 30, Gov. Jerry Brown’s tax-hike ballot measure.
Ken Goldberg, an engineering professor, said that “although the outcome of this vote has an enormous potential impact on students, alumni, teachers, parents and employers, many are not aware of Proposition 30. The California Proposition 30 Awareness Project aims to change that.”
Visitors to the website can learn about the ballot measure – a four-year, quarter-cent sales tax hike and a seven-year income tax hike for those making more than $250,000 per year – and receive a custom web link to share with whomever they please using email, Facebook or Twitter. They can return to the site later to see a unique graphic representation of their influence, and track their “influence score;” after the election, the website will list the 50 most influential people.
Influence is computed using a variant of the Kleinberg and Raghavan algorithm, where each visitor’s influence increases by one point for each person he or she recruits, by half a point for every person those people recruit, and so on. This model has been applied in many contexts with financial incentives, but researchers believe this is the first time it’s being tested with intangible rewards.
The researchers say the project and website emphasize awareness and are unbiased; the site includes links to the California Voters Guide and to campaigns on both sides of the issue. Visitors can also indicate their position for or against the proposition, and join an online discussion afterward.