Using a novel dataset assembled from print Zagat Survey guidebooks, the first crowdsourced restaurant guide and the direct antecedent of contemporary local review platforms like Yelp and Google Maps, this article traces the contours of ‘gourmet gentrification’ in New York City using quantitative and spatial analysis from 1990 to 2015.
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Payne: Not All “Review Bombing” Is Bad for Business
Payne found that Yelp’s automated and human review filtering systems largely responded the same way to each incident, but with considerably different effects.
Dr. Will Payne Examines Consequences of Review Bombing
This article uses spatiotemporal analysis of Yelp review activity to depict and analyze the shifting catchment areas of local businesses, as measured through the locations of their reviewers over time and across review categories (Recommended, Not Recommended, and Removed).
New Report from Marc Pfeiffer – First, Do No Harm: Algorithms, AI, and Digital Product Liability
The potential for algorithmic harm(s) are commonly reported to be found in (but are not limited to) technologies such as generative artificial intelligence chatbots, social media, virtual reality, Internet of Things, surveillance tech, robots, etc. This new report provides a pathway to reduce algorithmic harms by incentivizing developers to first, do no harm as opposed to work fast and break things.
Bloustein School launches new big data master’s program
The Bloustein School has launched a new big data master’s program and is recruiting its first class of students to start in fall 2019. The Master of Urban and Public Informatics program (MPI) will provide the vehicle for educating students in the competencies needed...