Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators

Aggregators rely on votes, and links to select and present subsets of the large quantity of news and opinion items generated each day. Opinion and topic diversity in the output sets can provide individual and societal benefits, but simply selecting the most popular items may not yield as much diversity as is present in the overall pool of votes and links. In this paper, we define three diversity metrics that address different dimensions of diversity: inclusion, nonalienation, and proportional representation. We then present the Sidelines algorithm

• Type: Journal
• Year: 2009
• Where: ICWSM
• Authors: Sean A. Munson, Daniel Xiaodan Zhou, Paul Resnick
• Keywords: ICWSM 2009, Internet Technology, Popular Items, Proportional Representation, Sidelines