Joshua Borycz

Biographic Data

ID6354480
NAMEJoshua Borycz
GIVEN NAMESJoshua
FAMILY NAMEBorycz
SIGNATUREBORYCZ J
AFFILIATIONSVanderbilt University
ORCID0000-0002-1505-148X
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Media usage and attitudes toward Russia versus the EU: Insights into the collective consciousness of Russian-speaking Belarusians and Ukrainians pre-Russia's invasion of Ukraine

    Open AccessCatherine A Luther, Baukje Prins et al.ARTICLEInternational Communication Gazette2025References: 17

    Through the theoretical lens of political socialization, our study explores associations between types of media consumption and attitudes toward Russia versus the European Union (EU) amongst Russian-speaking populations in Belarus and Ukraine. We do so through examining responses from surveys and focus groups conducted in both countries a year prior to Russia's 2022 invasion of Ukraine. Our findings showed that in the pro-Russia authoritarian cou…

  • Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards

    Open AccessJoshua Borycz, Robert Olendorf et al.ARTICLEHumanities and Social Sciences…2023

    Addressing global scientific challenges requires the widespread sharing of consistent and trustworthy research data. Identifying the factors that influence widespread data sharing will help us understand the limitations and potential leverage points. We used two well-known theoretical frameworks, the Theory of Planned Behavior and the Technology Acceptance Model, to analyze three DataONE surveys published in 2011, 2015, and 2020. These surveys ai…

  • Generational effects of culture and digital media in former Soviet Republics

    Open AccessBenjamin D Horne, Natalie M Rice et al.ARTICLEHumanities and Social Sciences…2023

    In public opinion, social and digital media provide means for influence as well as sorting according to pre-existing values. Here we consider types of media usage versus opinion using new polling results in the former Soviet republics (FSRs) of Belarus, Ukraine, and Georgia. Over 1000 individuals in each country were asked about a news event (the January 6 riot at the U.S. Capitol) and about the long-term future of their country. We find that yea…

  • Monitoring event-driven dynamics on Twitter: A case study in Belarus

    Open AccessNatalie M Rice, Benjamin D Horne et al.ARTICLESN Social Sciences2022

    Analysts of social media differ in their emphasis on the effects of message content versus social network structure. The balance of these factors may change substantially across time. When a major event occurs, initial independent reactions may give way to more social diffusion of interpretations of the event among different communities, including those committed to disinformation. Here, we explore these dynamics through a case study analysis of …

  • Cultural values predict national Covid-19 death rates

    Open AccessDamian J Ruck, Joshua Borycz et al.ARTICLESN Social Sciences2021

    National responses to a pandemic require populations to comply through personal behaviors that occur in a cultural context. Here we show that aggregated cultural values of nations, derived from World Values Survey data, have been at least as important as top-down government actions in predicting the impact of COVID-19. At the population level, the cultural factor of cosmopolitanism, together with obesity, predict higher numbers of deaths in the f…

  • Early warning of vulnerable counties in a pandemic using socio-economic variables

    Open AccessDamian J Ruck, R A Bentley et al.ARTICLEEconomics & Human Biology2021

    In the U.S. in early 2020, heterogenous and incomplete county-scale data on COVID-19 hindered effective interventions in the pandemic. While numbers of deaths can be used to estimate actual number of infections after a time lag, counties with low death counts early on have considerable uncertainty about true numbers of cases in the future. Here we show that supplementing county-scale mortality statistics with socioeconomic data helps estimate tru…

  • Internet Research Agency Twitter activity predicted 2016 U.S. election polls

    Open AccessDamian J Ruck, Natalie M Rice et al.ARTICLEFirst Monday2019

    In 2016, the Internet Research Agency (IRA) deployed thousands of Twitter bots that released hundreds of thousands of English language tweets. It has been hypothesized this affected public opinion during the 2016 U.S. presidential election. Here we test that hypothesis using vector autoregression (VAR) comparing time series of election opinion polling during 2016 versus numbers of re-tweets or ‘likes’ of IRA tweets. We find that changes in opinio…