Social and Behavioral Sciences Commons^™

An Evaluation Of The Performance Of The Twentieth Century Reanalysis Version 3, L. C. Slivinski, G. P. Compo, P. D. Sardeshmukh, J. S. Whitaker, C. Mccoll, R. J. Allan, P. Brohan, X. Yin, C. A. Smith, L. J. Spencer, R. S. Vose, Ml Rohrer, R. P. Conroy, D. C. Schuster, J. J. Kennedy, K. Ashcroft, S. Brönnimann, M. Brunet, D. Camuffo, R. Cornes, T. A. Cram, F. Domínguez-Castro, J. E. Freeman, J. Gergis, E. Hawkins, P. D. Jones, H. Kubota, T. C. Lee, A. M. Lorrey, J. Luterbacher, C. J. Mock, R. K. Przybylak, C. Pudmenzky, V. C. Slonosky, B. Tinz, B. Trewin, X. L. Wang, C. Wilkinson, K. Wood, P. Wyszyński

Faculty Publications

The performance of a new historical reanalysis, the NOAA-CIRES-DOE Twentieth Century Reanalysis version 3 (20CRv3), is evaluated via comparisons with other reanalyses and independent observations. This dataset provides global, 3-hourly estimates of the atmosphere from 1806 to 2015 by assimilating only surface pressure observations and prescribing sea surface temperature, sea ice concentration, and radiative forcings. Comparisons with independent observations, other reanalyses, and satellite products suggest that 20CRv3 can reliably produce atmospheric estimates on scales ranging from weather events to long-term climatic trends. Not only does 20CRv3 recreate a "best estimate" of the weather, including extreme events, it also provides an …

The Effects Of Source Cues And Issue Frames During Covid-19, Chandler Case, Christopher Eddy, Rahul Hemrajani, Christopher Howell, Daniel Lyons, Yu-Hsien Sung, Elizabeth C. Connors

Faculty Publications

The health and economic outcomes of the COVID-19 pandemic will in part be determined by how effectively experts can communicate information to the public and the degree to which people follow expert recommendation. Using a survey experiment conducted in May 2020 with almost 5,000 respondents, this paper examines the effect of source cues and message frames on perceptions of information credibility in the context of COVID-19. Each health recommendation was framed by expert or nonexpert sources, was fact- or experience-based, and suggested potential gain or loss to test if either the source cue or framing of issues affected responses to …

Variable- And Person-Centered Approaches To Affect-Biased Attention In Infancy Reveal Unique Relations With Infant Negative Affect And Maternal Anxiety, Alicia Vallorani, Xiaoxue Fu, Santiago Morales, Vanessa Lobue, Kristin A. Buss, Koraly Perez-Edgar

Faculty Publications

Affect-biased attention is an automatic process that prioritizes emotionally or motivationally salient stimuli. Several models of affect-biased attention and its development suggest that it comprises an individual's ability to both engage with and disengage from emotional stimuli. Researchers typically rely on singular tasks to measure affect-biased attention, which may lead to inconsistent results across studies. Here we examined affect-biased attention across three tasks in a unique sample of 193 infants, using both variable-centered (factor analysis; FA) and person-centered (latent profile analysis; LPA) approaches. Using exploratory FA, we found evidence for two factors of affect-biased attention: an Engagement factor and a …

Information, Identification, Or Both? A Rhetorical Analysis Of How Blm Uses Their Official Website, Candice L. Edrington

Faculty Publications

No abstract provided.

Making The Diversity, Equity, And Inclusion Mindset Indispensable In The Lis Classroom Through Design, Content, Communication, And Assessment, Kim M. Thompson, Clayton A. Copeland

Faculty Publications

When we incorporate diversity and inclusion into Library and Information Science course design and content and build communication and learning frameworks in the classroom on inclusive principles, we build a cohort of students who cannot “unsee” these basic principles as they engage in practice. By designing lecture and activity materials that allow students to read and engage with different perspectives about professional values and content, we create opportunities for awareness building and prepare students to engage with the same practices as they join the profession. This chapter provides insights for and examples of how to create courses that bring diversity, …

Automatic Categorization Of Lgbt User Profiles On Twitter With Machine Learning, Amir Karami, M. Lundy, F. Webb, H. R. Boyajieff, M. Zhu, D. Lee

Faculty Publications

Privacy needs and stigma pose significant barriers to lesbian, gay, bisexual, and transgender (LGBT) people sharing information related to their identities in traditional settings and research methods such as surveys and interviews. Fortunately, social media facilitates people’s belonging to and exchanging information within online LGBT communities. Compared to heterosexual respondents, LGBT users are also more likely to have accounts on social media websites and access social media daily. However, the current relevant LGBT studies on social media are not efficient or assume that any accounts that utilize LGBT-related words in their profile belong to individuals who identify as LGBT. Our …

Analysis Of Geotagging Behavior: Do Geotagged Users Represent The Twitter Population?, Amir Karami, R. R. Kadari, L. Panati, H. Bheemreddy, B. Bozorgi

Faculty Publications

Twitter’s APIs are now the main data source for social media researchers. A large number of studies have utilized Twitter data for diverse research interests. Twitter users can share their precise real-time location, and Twitter APIs can provide this information as longitude and latitude. These geotagged Twitter data can help to study human activities and movements for different applications. Compared to the mostly small-scale data samples in different domains, such as social science, collecting geotagged data offers large samples. There is a fundamental question whether geotagged users can represent non-geotagged users. While some studies have investigated the question from different …

Analysis Of Social Media Discussions On (#)Diet By Blue, Red, And Swing States In The U.S, Amir Karami, A. A. Dahl, J. G. Shaw, S. P. Valappil, G. Turner-Mcgrievy, H. Kharrazi, P. Bozorgi

Faculty Publications

The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed …

A Systematic Literature Review Of Sexual Harassment Studies With Text Mining, Amir Karami, Melek Yildiz Spinel, C. Nicole White, Kayla Ford, Suzanne Swan

Faculty Publications

Sexual harassment has been the topic of thousands of research articles in the 20th and 21st centuries. Several review papers have been developed to synthesize the literature about sexual harassment. While traditional literature review studies provide valuable insights, these studies have some limitations including analyzing a limited number of papers, being time-consuming and labor-intensive, focusing on a few topics, and lacking temporal trend analysis. To address these limitations, this paper employs both computational and qualitative approaches to identify major research topics, explore temporal trends of sexual harassment topics over the past few decades, and point to future possible directions in …

Covid-19 Vaccine And Social Media In The U.S.: Exploring Emotions And Discussions On Twitter, Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi

Faculty Publications

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning …

Impact Of Adverse Childhood Events On The Psychosocial Functioning Of Children Affected By Parental Hiv In Rural China, Jordan Ezell, Sayward Harrison, Yanping Jiang, Xiaoming Li

Faculty Publications

Introduction: Children affected by parental HIV are more likely than unaffected peers to experience trauma and are at-risk for negative psychological and social outcomes. This study aimed to examine the relationship between adverse childhood events and psychosocial functioning among children affected by parental HIV.

Methods: A total of 790 children ages 6–17 from Henan, China were enrolled in a longitudinal, randomized controlled trial of a resilience-based psychosocial intervention. At baseline, children reported on numerous psychosocial factors, including trauma exposure, symptoms of anxiety and depression, and peer social functioning. We used linear regression analysis to test the direct effect of trauma …

Everyone, Everywhere, Every Time, Clayton A. Copeland Phd

Faculty Publications

The University of South Carolina’s Knowledge School has a commitment. The commitment: Everyone. Everywhere. Every time. The “Knowledge School” is about empowerment. It is about accessing abilities in everyone. It is about using abilities to ensure knowledge creation. And it is about using abilities to ensure equity. This chapter defines a philosophy rooted in tenets of universal access and design. It then highlights several initiatives in teaching, research, and service that put the philosophy into action.

“It's Hard To See How These Would Be Harmful To Kids”: Public Library Staff Perceptions Of Child Development And Drag Queen Storytimes, Sarah Barriage, Vanessa Kitzie, Diana Floegel, Shannon M. Oltmann

Faculty Publications

This paper reports preliminary results of a survey of 458 US public library staff members regarding their perceptions of drag queen storytimes (DQS) and the ways in which these storytimes influence child development. The majority of respondents from libraries that have hosted at least one DQS agreed that DQS support healthy child development and positively influence children’s understanding of gender and/or sexuality, while respondents from libraries that have not hosted DQS were more likely to disagree or report being undecided. Specific ways in which respondents perceive DQS to influence child development are also analyzed.

Transit Use For Single-Parent Households: Evidence From Maryland, Sicheng Wang, Yanfeng Xu

Faculty Publications

Single parents face unique transportation barriers in their lives. Although helping single parents obtain private vehicles (e.g., car donation programs) would be a potential solution, we cannot ignore the high expense of maintaining and operating a vehicle, which may impose a heavy financial burden on single-parent families and constrain their ability to access opportunities and services. In contrast, public transit could be a more accessible and affordable transportation mode that benefits single-parent families. This study examined the association between public transit use and single parents using 2017 National Household Travel Survey and American Community Survey data for Maryland, United States. …

“When Someone Sees Me, I Am Nothing Of The Norm”: Examining The Discursive Role Power Plays In Shaping Lgbtq+ Health Information Practices, Vanessa L. Kitzie, Travis L. Wagner, A. Nick Vera

Faculty Publications

This paper examines how discursive power shapes LGBTQ+ community health information practices. Informed by analysis of 10 information world maps drawn by SC LGBTQ+ community leaders, our findings indicate that while community can be a valuable construct to reject mainstream discourses of regulation and correction, it inevitably is fraught and not representative of all LGBTQ+ individuals. Findings can inform strategies for community leaders to facilitate more equitable information flow among members by identifying key structural elements impeding this flow at the community level.

Using The World Café Methodology To Support Community-Centric Research And Practice In Library And Information Science, Vanessa Kitzie, Jocelyn Pettigrew, Travis L. Wagner, Nick Vera

Faculty Publications

The World Café (TWC) methodology is a form of action research that develops collective knowledge among individuals and communities to address shared problems. TWC can complement LIS research and practice that is increasingly participatory and community centric. The potentials and pitfalls for TWC are illustrated by ongoing research examining public library service to LGBTQIA+ communities for health information. The authors used TWC in a community forum between LGBTQIA+ community leaders and librarians/paraprofessionals in [name removed for blind review]. Per TWC conventions, participants engaged in day-long rotating café-style table conversations that encouraged new ideas and collective dialog. Discussion centered on two …

It Starts At Home: Infusing Radical Empathy Into Graduate Education, Nicole A. Cooke, Kellee E. Warren, Molly Brown, Athena Jackson

Faculty Publications

This interview features a conversation between a library and information science educator (Cooke) and three archival and special collections professionals with varying levels of experience in the field (Warren, Brown, and Jackson). Among the goals of this frank conversation is to highlight the lived experiences of practicing archivists and educators and discuss why it is becoming increasingly important to talk about empathy, diversity, equity, and inclusion in greater context. As part of that context, we must discuss the need to continuously infuse these values into graduate education, professional development, research, writing, and peer mentoring. Espousing and implementing an ethics of …

Covid-19 And The Black Death: Nutrition, Frailty, Inequity, And Mortality, Katherine D. Van Schaik, Sharon Dewitte

Faculty Publications

Introduction: COVID-19 has challenged governments, healthcare systems, and individuals, drawing attention to the limits of modern technology and the extent of social inequity. Such challenges have directed attention to historical epidemics as repositories of data that could contribute to effective public health strategies and prognostic modeling. In light of the well-established correlation between frailty and mortality from COVID-19, this paper investigates the relationship between frailty, inequity, and mortality in the setting of the Black Death of 1346 – 1353, in order to identify trends over time in populations at the greatest risk of mortality during pandemics.

Methods: A comparative review …

Application Of The Saffir-Simpson Hurricane Wind Scale To Assess Sand Dune Response To Tropical Storms, Jean Taylor Ellis, Michelle E. Harris, Mayra A. Román-Rivera, J. Brianna Ferguson, Peter A. Tereszkiewicz, Sean P. Mcgill

Faculty Publications

Over one-third of the Earth’s population resides or works within 200 km of the coast. The increasing threat of coastal hazards with predicted climate change will impact many global citizens. Coastal dune systems serve as a natural first line of defense against rising sea levels and coastal storms. This study investigated the volumetric changes of two dune systems on Isle of Palms, South Carolina, USA prior to and following Hurricanes Irma (2017) and Florence (2018), which impacted the island as tropical storms with different characteristics. Irma had relatively high significant wave heights and precipitation, resulting in an average 39% volumetric …

Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan

Faculty Publications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …

Struggling To Breathe: Covid-19, Protest, And The Lis Response, Amelia N. Gibson, Renate Chancellor, Nicole A. Cooke, Sarah Park Dahlen, Beth Patin, Yasmeen Shorish

Faculty Publications

The purpose of this article is to provide a follow up to “Libraries on the Frontlines: Neutrality and Social Justice,” which was published in 2017. It addresses institutional responses to protests and uprising in the spring and summer of 2020 after the deaths of Ahmaud Arbery, Breonna Taylor, and George Floyd—all of which occurred in the context of the global COVID-19 pandemic. The article expands the previous call for libraries to take a stand for Black Lives. We describe the events of 2020 (a global pandemic, multiple murders of unarmed Black people, and the consequent global protests) and responses from …

“Library And Information Science” Literature In Web Of Science: What A Decade Tells Us About Scholarly Collaboration In The Field (2007-2016), Kim M. Thompson, Kasey Garrison, Carolina Santelices-Werchez, Paulina Arellano-Rojas, Danilo Reyes-Lillo

Faculty Publications

Ensuring access to published research is increasingly important for demonstrating research impact, supporting wide readership, creating interest in collaboration, and making way for funding opportunities. This article provides a bibliometric analysis of publications from 2007-2016 in the Web of Science (WOS) database to update understanding of recent international library science research as a means of discussing research impact and scientific collaboration. The methodology is a descriptive analysis of publications retrieved from the WOS database using keywords “library science” and WOS-generated subject descriptor “Information Science & Library Science.” Analysis focused on descriptive data related to our research questions including representation of …

Inclusive Considerations For Optimal Online Learning In Times Of Disasters And Crises, Kim M. Thompson, Clayton A. Copeland

Faculty Publications

No abstract provided.

Restructuring A Beginner Language Program: A Quantitative Analysis Of Face-To-Face Versus Flipped-Blended Spanish Instruction, Nina Moreno, Paul Malovrh

Faculty Publications

No abstract provided.

The Robustness Of Reciprocity: Experimental Evidence That Each Form Of Reciprocity Is Robust To The Presence Of Other Forms Of Reciprocity, David Melamed, Brent Simpson, Jered Abernathy

Faculty Publications

Prosocial behavior is paradoxical because it often entails a cost to one’s own welfare to benefit others. Theoretical models suggest that prosociality is driven by several forms of reciprocity. Although we know a great deal about how each of these forms operates in isolation, they are rarely isolated in the real world. Rather, the topological features of human social networks are such that people are often confronted with multiple types of reciprocity simultaneously. Does our current understanding of human prosociality break down if we account for the fact that the various forms of reciprocity tend to co-occur in nature? Results …

A 100 M Population Grid In The Conus By Disaggregating Census Data With Open-Source Microsoft Building Footprints, Xiao Huang, Cuizhen Wang, Zhenlong Li, Huan Ning

Faculty Publications

In the Big Data era, Earth observation is becoming a complex process integrating physical and social sectors. This study presents an approach to generating a 100 m population grid in the Contiguous United States (CONUS) by disaggregating the US census records using 125 million of building footprints released by Microsoft in 2018. Land-use data from the OpenStreetMap (OSM), a crowdsourcing platform, was applied to trim original footprints by removing the non-residential buildings. After trimming, several metrics of building measurements such as building size and building count in a census tract were used as weighting scenarios, with which a dasymetric model …

Remote Sensing Derived Indices For Tracking Urban Land Surface Change In Case Of Earthquake Recovery, Sahar Derakhshan, Susan Lynn Cutter, Cuizhen Wang

Faculty Publications

The study of post-disaster recovery requires an understanding of the reconstruction process and growth trend of the impacted regions. In case of earthquakes, while remote sensing has been applied for response and damage assessment, its application has not been investigated thoroughly for monitoring the recovery dynamics in spatially and temporally explicit dimensions. The need and necessity for tracking the change in the built-environment through time is essential for post-disaster recovery modeling, and remote sensing is particularly useful for obtaining this information when other sources of data are scarce or unavailable. Additionally, the longitudinal study of repeated observations over time in …

Changes In Globalization: How Should Ib Education Respond?, Nancy R. Buchan, Elizabeth C. Ravlin, Orgul D. Ozturk

Faculty Publications

A new phase of globalization has made the world cognizant of the job losses, inequality of gains across countries and socio-economic sectors, and climate degradation that has resulted from prior global business practices. We examine what changes international business (IB) education should consider as these patterns evolve. Non-routine analytical skills and global interpersonal skills will still be important in the changing economy. However, evidence suggests that IB education should also emphasize broader knowledge of politics, institutions, sociology, and anthropology in order to help future business leaders navigate and balance the increasingly complex requirements of both local and global stakeholder interests.

Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Zhenlong Li Huan Ning, Michael E. Hodgson, Cuizhen Wang

Faculty Publications

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and aWebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that …

“In The Beginning, It Was Little Whispers...Now, We’Re Almost A Roar”: Conceptualizing A Model For Community And Self In Lgbtq+ Health Information Practices, Vanessa Kitzie, Travis L. Wagner, Alexander N. Vera

Faculty Publications

Although LGBTQ+ populations experience significant health challenges, little research exists that investigates their health from an informational perspective. Our study addresses this gap by exploring the health information practices of LGBTQ+ communities in South Carolina, focusing on how sociocultural context shapes these practices. Thirty semi-structured interviews with South Carolina LGBTQ+ community leaders analyzed using open qualitative coding informed the development of a conceptual framework describing their information practices. Findings show that participants engaged in two broad types of practices – protective and defensive – as responses to risks and barriers experienced, which are in turn produced by social and structural …