16 citations · 70 across the 21 of their papers we have counts for
23 papers
A large-scale analysis of public-facing, community-built chatbots on Character.AI
Owen Lee, Kenneth Joseph
This paper presents the first large-scale analysis of public-facing chatbots on CharacterAI, a rapidly growing social media platform where users create and interact with chatbot…
Why do people think liberals drink lattes? How social media afforded self-presentation can shape subjective social sorting
Samantha C. Phillips, Kathleen M. Carley, Kenneth Joseph
Social sorting, the alignment of social identities, affiliations, and/or preferences with partisan groups, can increase in-party attachment and decrease out-party tolerance. We pro…
Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing
Navid Madani, Rabiraj Bandyopadhyay, Briony Swire-Thompson +2
Social media platforms provide users with a profile description field, commonly known as a ``bio," where they can present themselves to the world. A growing literature shows that t…
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models
Navid Madani, Rohini K. Srihari, Kenneth Joseph
Answering questions over domain-specific graphs requires a tailored approach due to the limited number of relations and the specific nature of the domain. Our approach integrates c…
Just Another Day on Twitter: A Complete 24 Hours of Twitter Data
Juergen Pfeffer, Daniel Matter, Kokil Jaidka +13
At the end of October 2022, Elon Musk concluded his acquisition of Twitter. In the weeks and months before that, several questions were publicly discussed that were not only of int…
NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems
Benjamin D. Horne, Maurício Gruppi, Kenneth Joseph +3
In this paper, we present a dataset of over 1.4M online news articles from 313 local U.S. news outlets published over 20 months (between April 4th, 2020 and December 31st, 2021). T…
A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt
Jason Yan, Melanie Sage, Seventy F. Hall +2
The John H. Chafee Foster Care Program for Successful Transition to Adulthood (CFCIP) allocates funding to provide services to youth who are likely to age out of foster care. These…
Local News Online and COVID in the U.S.: Relationships among Coverage, Cases, Deaths, and Audience
Kenneth Joseph, Benjamin D. Horne, Jon Green +1
We present analyses from a real-time information monitoring system of online local news in the U.S. We study relationships among online local news coverage of COVID, cases and deat…
Insidious Nonetheless: How Small Effects and Hierarchical Norms Create and Maintain Gender Disparities in Organizations
Yuhao Du, Jessica Nordell, Kenneth Joseph
The term glass ceiling is applied to the well-established phenomenon in which women and people of color are consistently blocked from reaching the upper-most levels of the corporat…
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Stefania Ionescu, Yuhao Du, Kenneth Joseph +1
Two-sided matching markets have long existed to pair agents in the absence of regulated exchanges. A common example is school choice, where a matching mechanism uses student and sc…
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
Kenneth Joseph, Sarah Shugars, Ryan Gallagher +4
Stance detection, which aims to determine whether an individual is for or against a target concept, promises to uncover public opinion from large streams of social media data. Yet…
A Method to Analyze Multiple Social Identities in Twitter Bios
Arjunil Pathak, Navid Madani, Kenneth Joseph
Twitter users signal social identity in their profile descriptions, or bios, in a number of important but complex ways that are not well-captured by existing characterizations of h…
Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem
Kenneth Joseph, Jonathan Howard Morgan
We introduce the identity labeling problem - given an individual in a social situation, can we predict what identity(ies) they will be labeled with by someone else? This problem re…
Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation
Jacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph
Algorithmic fairness research has traditionally been linked to the disciplines of philosophy, ethics, and economics, where notions of fairness are prescriptive and seek objectivity…
An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
Stefania Ionescu, Aniko Hannak, Kenneth Joseph
Perhaps the most controversial questions in the study of online platforms today surround the extent to which platforms can intervene to reduce the societal ills perpetrated on them…
An analysis of replies to Trump's tweets
Zijian An, Kenneth Joseph
Donald Trump has tweeted thousands of times during his presidency. These public statements are an increasingly important way through which Trump communicates his political and pers…
Explaining Gender Differences in Academics' Career Trajectories
Aniko Hannak, Kenneth Joseph, Andrei Cimpian +1
Academic fields exhibit substantial levels of gender segregation. To date, most attempts to explain this persistent global phenomenon have relied on limited cross-sections of data…
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline
Yuhao Du, Kenneth Joseph
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 emb…
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
Kenneth Joseph, Jonathan H. Morgan
Social biases are encoded in word embeddings. This presents a unique opportunity to study society historically and at scale, and a unique danger when embeddings are used in downstr…
Theory In, Theory Out: The uses of social theory in machine learning for social science
Jason Radford, Kenneth Joseph
Research at the intersection of machine learning and the social sciences has provided critical new insights into social behavior. At the same time, a variety of critiques have been…
Exploring the Ideological Nature of Journalists' Social Networks on Twitter and Associations with News Story Content
John Wihbey, Thalita Dias Coleman, Kenneth Joseph +1
The present work proposes the use of social media as a tool for better understanding the relationship between a journalists' social network and the content they produce. Specifical…
ConStance: Modeling Annotation Contexts to Improve Stance Classification
Kenneth Joseph, Lisa Friedland, William Hobbs +2
Manual annotations are a prerequisite for many applications of machine learning. However, weaknesses in the annotation process itself are easy to overlook. In particular, scholars…
Efficient Online Inference for Infinite Evolutionary Cluster models with Applications to Latent Social Event Discovery
Wei Wei, Kennth Joseph, Kathleen Carley
The Recurrent Chinese Restaurant Process (RCRP) is a powerful statistical method for modeling evolving clusters in large scale social media data. With the RCRP, one can allow both…