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Predicting perceived ethnicity with data on personal names in Russia
In this paper, we develop a machine learning classifier that predicts perceived ethnicity from data on personal names for major ethnic groups...
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Perception of COVID-19 vaccination among Indian Twitter users: computational approach
Vaccination has been a hot topic in the present COVID-19 context. The government, public health stakeholders and media are all concerned about how to...
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Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19
To effectively design policies and implement measures for addressing problems faced by people during these difficult times of pandemic, it is...
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Incorporating machine learning in dispute resolution and settlement process for financial fraud
This paper aims to classify disciplinary hearings into two types (settlement and contested). The objective is to employ binary machine learning...
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Tracking moral divergence with DDR in presidential debates over 60 years
Televised presidential debates, a communication form specifically designed to evoke meaningful clash of issue viewpoints, have been criticized for...
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An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables
This study presents a framework to study quantitatively geographical visual diversities of urban neighborhood from a large collection of street-view...
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A sco** review on the use of natural language processing in research on political polarization: trends and research prospects
As part of the “text-as-data” movement, Natural Language Processing (NLP) provides a computational way to examine political polarization. We...
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A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis
One of the first steps in many text-based social science studies is to retrieve documents that are relevant for an analysis from large corpora of...
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School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach
Designing early warning systems through machine learning (ML) models to identify students at risk of dropout can improve targeting mechanisms and...
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Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic
Misinformation in the media is produced by hard-to-gauge thought mechanisms employed by individuals or collectivities. In this paper, we shed light...
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Evaluating algorithmic homeless service allocation
Improving the homelessness system and evaluating the effectiveness of delivered services are critical to achieve optimal usage of limited social...
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Did the public attribute the Flint Water Crisis to racism as it was happening? Text analysis of Twitter data to examine causal attributions to racism during a public health crisis
The Flint Water Crisis (FWC) was an avoidable public health disaster that profoundly affected the city’s residents, a majority of whom are Black....
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Enhanced sentiment analysis regarding COVID-19 news from global channels
For a healthy society to exist, it is crucial for the media to focus on disease-related issues so that more people are widely aware of them and...
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Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic
Since early 2020, the global coronavirus pandemic has strained economic activities and traditional lifestyles. For such emergencies, our paper...
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Group-specific behavior change following terror attacks
Terrorists use violence in pursuit of political goals. While terror often has severe consequences for victims, it remains an open question how terror...
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User behaviors in consumer-generated media under monetary reward schemes
We investigate both the influence of monetary reward schemes on user behaviors and the quality of articles posted by users in consumer-generated...
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The gameability of redistricting criteria
During decennial redistricting, mapmakers are often instructed to preserve political subdivisions and prior district cores as much as possible....
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Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays
Variation in college application materials related to social stratification is a contentious topic in social science and national discourse in the...
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Lingual markers for automating personality profiling: background and road ahead
Personality is a psychological concept which embodies the unique characteristics of an individual. An individual’s distinct traits are embodied by...
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Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021
Studies suggest that popular music genres are increasingly discussed by cultural intermediaries in ‘legitimate’ or ‘highbrow’ terms, rather than...
