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Chapter and Conference Paper
MDR Cluster-Debias: A Nonlinear Word Embedding Debiasing Pipeline
Existing methods for debiasing word embeddings often do so only superficially, in that words that are stereotypically associated with, e.g., a particular gender in the original embedding space can still be clu...
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Chapter and Conference Paper
Contextual Sentiment Analysis
This study examines the role of context in evaluating responses to social media posts online. Current sentiment analysis tools evaluate the content of posts without considering the broader context that the pos...
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Chapter and Conference Paper
Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?
In collaborative tagging systems, it is generally assumed that users assign tags to facilitate retrieval of content at a later time. There is, however, little behavioral evidence that tags actually serve this ...
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Chapter and Conference Paper
Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API
We compare samples of tweets from the Twitter Streaming API constructed from different connections that tracked the same popular keywords at the same time. We find that on average, over 96% of the tweets seen ...
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Chapter and Conference Paper
An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time
The present work describes a utility-based, multi-agent, dynamic network model of phone call and SMS traffic in a population. The simulation is novel in its ability to generate interactions from both an asymme...