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Word embeddings quantify 100 years of gender and ethnic stereotypes
TLDR
A framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States is developed. Expand
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
TLDR
An NLP framework is provided to uncover four linguistic dimensions of political polarization in social media: topic choice, framing, affect and illocutionary force, and proposes clustering of tweet embeddings as a means to identify salient topics for analysis across events. Expand
Collaborative Optimization for Collective Decision-making in Continuous Spaces
TLDR
This work proposes a meta-algorithm called Iterative Local Voting for collective decision-making in this setting, in which voters are sequentially sampled and asked to modify a candidate solution within some local neighborhood of its current value, as defined by a ball in some chosen norm. Expand
Markets for Public Decision-Making
TLDR
It is shown that the equilibrium prices in the constructed Fisher market yield a "pairwise pricing equilibrium" in the original public decision-making problem which maximizes Nash welfare, and furthers the hope that a simple iterative voting protocol that leads to near-optimum decisions is found. Expand
Algorithms for budget-constrained survivable topology design
TLDR
This paper considers a variation of the general topology augmentation problem: given a topology, a set of potential links each with a cost, and a limited budget, find links that can be added to enhance the topology's biconnectivity. Expand
Driver Surge Pricing
TLDR
A dynamic stochastic model is presented to capture the impact of surge pricing on driver earnings and their strategies to maximize such earnings, and it is shown that additive surge is more incentive compatible in practice than is multiplicative surge. Expand
Iterative Local Voting for Collective Decision-making in Continuous Spaces
TLDR
A algorithm called Iterative Local Voting is proposed for collective decision-making in high-dimensional continuous spaces not amenable to the voting techniques common for their discrete or single-dimensional counterparts. Expand
Impact of Dual Slope Path Loss on User Association in HetNets
TLDR
Insight is developed into the performance of biasing and uplink/downlink decoupling for user association in HetNets with dual slope path loss models, and optimal downlink biasing is shown to realize most of the gains from downlink-uplink decoupled. Expand
Designing Informative Rating Systems: Evidence from an Online Labor Market
TLDR
This paper investigates whether the platform can obtain less inflated ratings by altering the meaning and relative importance of the levels in the rating system, and develops a model-based framework to compare and select among rating system designs. Expand
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