Kenneth Joseph
Biographic Data
| ID | 3925619 |
|---|---|
| NAME | Kenneth Joseph |
| GIVEN NAMES | Kenneth |
| FAMILY NAME | Joseph |
| SIGNATURE | JOSEPH K |
| AFFILIATIONS | Carnegie Mellon University |
| ORCID | 0000-0003-2233-3976 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Explainable GeoAI and statistical analysis reveal complementary insights about disparities of 311 help requests during the 2022 Buffalo blizzard
A Systematic Review of Sophisticated Predictive and Prescriptive Analytics in Child Welfare
An evaluation framework for predictive models of neighbourhood change with applications to predicting residential sales in Buffalo, NY
New data and technologies, in particular machine learning, may make it possible to forecast neighbourhood change. Doing so may help, for example, to prevent the negative impacts of gentrification on marginalised communities. However, predictive models of neighbourhood change face four challenges: accuracy (are they right?), granularity (are they right at spatial or temporal scales that actually matter for a policy response?), bias (are they equit…
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
Friend or Foe
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 remains a theoretical gap and methodological challenge, evidenced by the fact that models of social-cognition often sidestep the issue by treating identities as already known. We build on insights from existing models to develop a new framework, entitled Latent Cognitive …
Insidious Nonetheless
The term glass ceiling is applied to the well-established phenomenon in which women and people of color are consistently blocked from reaching the uppermost levels of the corporate hierarchy. Focusing on gender, we present an agent-based model that explores how empirically established mechanisms of interpersonal discrimination coevolve with social norms at both the organizational (meso) and societal (macro) levels to produce this glass ceiling ef…
The social silos of journalism? Twitter, news media and partisan segregation
The present work proposes social media as a tool to understand the relationship between journalists’ social networks and the content they produce. Specifically, we ask, “what is the association between the partisan nature of the accounts journalists follow on Twitter and the news content they produce?” Using standard text scaling techniques, we analyze partisanship in a novel dataset of more than 300,000 news articles produced by 644 journalists …
The Power of Social Cognition
As human beings, we understand and make sense of the social world using social cognition. Social cognitions are cognitive processes through which we understand, process, and recall our interactions with others. Most agent-based models do not account for social cognition; rather, they either provide detailed models of task-related cognition or model many actors and focus on social processes. In general, the more cognitively realistic the models, t…
A social-event based approach to sentiment analysis of identities and behaviors in text
Kenneth Josepha*, Wei Weia, Matthew Benignia & Kathleen M. Carleyaa Societal Computing Program, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Exploring characteristics of suspended users and network stability on Twitter
Arab Spring
On the Coevolution of Stereotype, Culture, and Social Relationships
The theory of constructuralism describes how shared knowledge, representative of cultural forms, develops between individuals through social interaction. Constructuralism argues that through interaction and individual learning, the social network (who interacts with whom) and the knowledge network (who knows what) coevolve. In the present work, we extend the theory of constructuralism and implement this extension in an agent-based model (ABM). Ou…
Implementing the Social Model of Disability
The social silos of journalism? Twitter, news media and partisan segregation
The present work proposes social media as a tool to understand the relationship between journalists’ social networks and the content they produce. Specifically, we ask, “what is the association between the partisan nature of the accounts journalists follow on Twitter and the news content they produce?” Using standard text scaling techniques, we analyze partisanship in a novel dataset of more than 300,000 news articles produced by 644 journalists …
A social-event based approach to sentiment analysis of identities and behaviors in text
Kenneth Josepha*, Wei Weia, Matthew Benignia & Kathleen M. Carleyaa Societal Computing Program, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Insidious Nonetheless
The term glass ceiling is applied to the well-established phenomenon in which women and people of color are consistently blocked from reaching the uppermost levels of the corporate hierarchy. Focusing on gender, we present an agent-based model that explores how empirically established mechanisms of interpersonal discrimination coevolve with social norms at both the organizational (meso) and societal (macro) levels to produce this glass ceiling ef…
On the Coevolution of Stereotype, Culture, and Social Relationships
The theory of constructuralism describes how shared knowledge, representative of cultural forms, develops between individuals through social interaction. Constructuralism argues that through interaction and individual learning, the social network (who interacts with whom) and the knowledge network (who knows what) coevolve. In the present work, we extend the theory of constructuralism and implement this extension in an agent-based model (ABM). Ou…
Exploring characteristics of suspended users and network stability on Twitter
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
Arab Spring
Implementing the Social Model of Disability
On the Coevolution of Stereotype, Culture, and Social Relationships
The theory of constructuralism describes how shared knowledge, representative of cultural forms, develops between individuals through social interaction. Constructuralism argues that through interaction and individual learning, the social network (who interacts with whom) and the knowledge network (who knows what) coevolve. In the present work, we extend the theory of constructuralism and implement this extension in an agent-based model (ABM). Ou…
Arab Spring
A social-event based approach to sentiment analysis of identities and behaviors in text
Kenneth Josepha*, Wei Weia, Matthew Benignia & Kathleen M. Carleyaa Societal Computing Program, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Exploring characteristics of suspended users and network stability on Twitter
The Power of Social Cognition
As human beings, we understand and make sense of the social world using social cognition. Social cognitions are cognitive processes through which we understand, process, and recall our interactions with others. Most agent-based models do not account for social cognition; rather, they either provide detailed models of task-related cognition or model many actors and focus on social processes. In general, the more cognitively realistic the models, t…
The social silos of journalism? Twitter, news media and partisan segregation
The present work proposes social media as a tool to understand the relationship between journalists’ social networks and the content they produce. Specifically, we ask, “what is the association between the partisan nature of the accounts journalists follow on Twitter and the news content they produce?” Using standard text scaling techniques, we analyze partisanship in a novel dataset of more than 300,000 news articles produced by 644 journalists …
Friend or Foe
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 remains a theoretical gap and methodological challenge, evidenced by the fact that models of social-cognition often sidestep the issue by treating identities as already known. We build on insights from existing models to develop a new framework, entitled Latent Cognitive …
Insidious Nonetheless
The term glass ceiling is applied to the well-established phenomenon in which women and people of color are consistently blocked from reaching the uppermost levels of the corporate hierarchy. Focusing on gender, we present an agent-based model that explores how empirically established mechanisms of interpersonal discrimination coevolve with social norms at both the organizational (meso) and societal (macro) levels to produce this glass ceiling ef…
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
A Systematic Review of Sophisticated Predictive and Prescriptive Analytics in Child Welfare
An evaluation framework for predictive models of neighbourhood change with applications to predicting residential sales in Buffalo, NY
New data and technologies, in particular machine learning, may make it possible to forecast neighbourhood change. Doing so may help, for example, to prevent the negative impacts of gentrification on marginalised communities. However, predictive models of neighbourhood change face four challenges: accuracy (are they right?), granularity (are they right at spatial or temporal scales that actually matter for a policy response?), bias (are they equit…
Explainable GeoAI and statistical analysis reveal complementary insights about disparities of 311 help requests during the 2022 Buffalo blizzard
Computer Science (9 works) · Psychology (8 works) · Sociology (6 works) · Social Psychology (5 works) · Mathematics (4 works) · Political science (4 works) · Social Psychology (4 works) · Epistemology (3 works) · Media studies (3 works) · Social media (3 works)