Skunkworks finder
Author(s) -
Dario Casadevall,
Marcus Foth,
Ana Bilandžić
Publication year - 2018
Publication title -
qut eprints (queensland university of technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3292147.3292169
Subject(s) - homophily , echo (communications protocol) , diversity (politics) , filter (signal processing) , computer science , social media , collaborative filtering , productivity , recommender system , sociology , world wide web , data science , social science , computer security , economics , anthropology , computer vision , macroeconomics
Entrepreneurs and start-up founders using innovation spaces and hubs often find themselves inside a filter bubble or echo chamber, where like-minded people tend to come up with similar ideas and recommend similar approaches to innovation. This trend towards homophily and a polarisation of like-mindedness is aggravated by algorithmic filtering and recommender systems embedded in mobile technology and social media platforms. Yet, genuine innovation thrives on social inclusion fostering a diversity of ideas. To escape these echo chambers, we designed and tested the Skunkworks Finder - an exploratory tool that employs social network analysis to help users discover spaces of difference and otherness in their local urban innovation ecosystem.
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