Name
Affiliation
Papers
KENNETH JOSEPH
Carnegie Mellon University, Pittsburgh, PA
22
Collaborators
Citations 
PageRank 
38
70
9.46
Referers 
Referees 
References 
213
553
221
Search Limit
100553
Title
Citations
PageRank
Year
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys.00.342021
The social silos of journalism? Twitter, news media and partisan segregation.00.342019
Polarized, Together - Comparing Partisan Support for Trump's Tweets Using Survey and Platform-Based Measures.00.342019
Mining online communities to inform strategic messaging: practical methods to identify community-level insights.00.342018
Auditing Partisan Audience Bias within Google Search.00.342018
Scalable computational techniques for centrality metrics on temporally detailed social network.20.392017
ConStance: Modeling Annotation Contexts to Improve Stance Classification.10.342017
The Power of Social Cognition.00.342017
Girls Rule, Boys Drool: Extracting Semantic and Affective Stereotypes from Twitter.10.362017
Efficient Online Inference for Infinite Evolutionary Cluster models with Applications to Latent Social Event Discovery.00.342017
"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter.00.342017
Exploring Patterns of Identity Usage in Tweets: A New Problem, Solution and Case Study.20.362016
Identifying Police Officers at Risk of Adverse Events40.532016
Exploring characteristics of suspended users and network stability on Twitter.30.392016
Relating semantic similarity and semantic association to how humans label other people.00.342016
Culture, Networks, Twitter and foursquare: Testing a Model of Cultural Conversion with Social Media Data40.432015
The Fragility of Twitter Social Networks Against Suspended Users.50.412015
A Bayesian Graphical Model to Discover Latent Events from Twitter80.462015
Two 1%s Don't Make a Whole: Comparing Simultaneous Samples from Twitter's Streaming API.80.622014
An agent-based model for simultaneous phone and SMS traffic over time20.392013
Beyond \"local\", \"categories\" and \"friends\": clustering foursquare users with latent \"topics\"301.412012
Leveraging media repertoires to create new social ties00.342012