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Article
Open AccessDemocrats are better than Republicans at discerning true and false news but do not have better metacognitive awareness
Insight into one’s own cognitive abilities is one important aspect of metacognition. Whether this insight varies between groups when discerning true and false information has yet to be examined. We investigate...
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Article
A Systematic Review of Sophisticated Predictive and Prescriptive Analytics in Child Welfare: Accuracy, Equity, and Bias
Child welfare agencies increasingly use machine learning models to predict outcomes and inform decisions. These tools are intended to increase accuracy and fairness but can also amplify bias. This systematic r...
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Article
Open AccessA qualitative, network-centric method for modeling socio-technical systems, with applications to evaluating interventions on social media platforms to increase social equality
We propose and extend a qualitative, complex systems methodology from cognitive engineering, known as the abstraction hierarchy, to model how potential interventions that could be carried out by social media plat...
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Chapter and Conference Paper
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data
Youth in the American foster care system are significantly more likely than their peers to face a number of negative life outcomes, from homelessness to incarceration. Administrative data on these youth have t...
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Chapter and Conference Paper
Frames and Their Affective Dimensions: A Case Study of Climate Change News Articles
News articles shared on social media platforms could be framed in ways such that specific points are emphasized or de-emphasized to create confusion on scientific facts. In this work, we use policy frames sugg...
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Chapter and Conference Paper
Computational Models for Social Good: Beyond Bias and Representation
This panel will bring a timely and overdue discussion to SBP-BRiMS on computational social and behavioral modeling for social good. What’s more, we will host a discussion on what it means to critically approac...
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Chapter and Conference Paper
Sizing Up “Media Twitter”: Exploring Population Extent, Beats, and Utility of Social Media
This mixed-methods study explores which types of journalists are on social media and what forms of knowledge-related utility they find there for their practice. We leverage computational techniques to identify...
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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
Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics
Social influence bot networks are used to effect discussions in social media. While traditional social network methods have been used in assessing social media data, they are insufficient to identify and chara...
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Article
Mining online communities to inform strategic messaging: practical methods to identify community-level insights
The ability of OSNs to propagate civil unrest has been powerfully observed through the rise of the ISIS and the ongoing conflict in Crimea. As a result, the ability to understand and in some cases mitigate the...
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Article
Scalable computational techniques for centrality metrics on temporally detailed social network
Increasing proliferation of mobile and online social networking platforms have given us unprecedented opportunity to observe and study social interactions at a fine temporal scale. A collection of all such soc...
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Article
Exploring characteristics of suspended users and network stability on Twitter
Social media is rapidly becoming a medium of choice for understanding the cultural pulse of a region; e.g. for identifying what the population is concerned with and what kind of help is needed in a crisis. To ...
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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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Article
Arab Spring: from newspaper
Agent-based simulation models are an important methodology for explaining social behavior and forecasting social change. However, a major drawback to using such models is that they are difficult to instantiate...
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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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Article
Open AccessTraining providers: beyond the basics of electronic health records
Training is a critical part of health information technology implementations, but little emphasis is placed on post-implementation training to support day-to-day activities. The goal of this study was to evalu...
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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...