College of Liberal Arts and Human Sciences (CLAHS)
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Browsing College of Liberal Arts and Human Sciences (CLAHS) by Subject "0806 Information Systems"
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- Patterns in environmental priorities revealed through government open data portalsLim, Theodore C. (Elsevier, 2021-11-01)The ways in which environmental priorities are framed are varied and influenced by political forces. One technological advance–the proliferation of government open data portals (ODPs)–has the potential to improve governance through facilitating access to data. Yet it is also known that the data hosted on ODPs may simply reflect the goals and interests of multiple levels of political power. In this article, I use traditional statistical correlation and regression techniques along with newer natural language processing and machine learning algorithms to analyze the corpus of datasets hosted on government ODPs (total: 49,066) to extract patterns that relate scales of governance and political liberalism/conservatism to the priorities and meaning attached to environmental issues. I find that state-level and municipal-level ODPs host different categories of environmental datasets, with municipal-level ODPs generally hosting more datasets pertaining to services and amenities and state-level ODPs hosting more datasets pertaining to resource protection and extraction. Stronger trends were observed for the influences of political conservatism/liberalism among state-level ODPs than for municipal-level ODPs.
- Viewing anti-immigrant hate online: An application of routine activity and Social Structure-Social Learning TheoryCostello, Matthew; Restifo, Salvatore J.; Hawdon, James E. (Pergamon-Elsevier, 2021-11-01)The increasingly prominent role of the Internet in the lives of Americans has resulted in more people coming into contact with various types of online content, including online hate material. One of the most common forms of online hate targets immigrants, seeking to position immigrants as threats to personal, national, economic, and cultural security. Given the recent rise in online hate targeting immigrants, this study examines factors that bring individuals into virtual contact with such material. Utilizing recently collected online survey data of American youth and young adults, we draw on insights from Routine Activity Theory and Social Structure-Social Learning Theory to understand exposure to anti-immigrant online hate material. Specifically, we consider how online routines, location in social structure, and social identity are associated with exposure. Results indicate that engaging in behaviors that can increase proximity to motivated offenders increases the likelihood of being exposed to anti-immigrant hate, as does engaging in online behaviors that bolster one’s target suitability. Additionally, individuals who view Americanism as fundamental to their social identity are more apt to encounter anti-immigrant hate material on the Internet, as are those who are more dissatisfied with the current direction of the country.