Jeff Hemsley

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Societies rely on the social infrastructure for proper societal function. When crises emerge, the importance of the social infrastructure magnifies as people often rely on others, both known and unknown, for support. For citizens experiencing a war environment, however, societal trust can be affected and we show how technologies are used to maintain and(More)
Goldfish were monocularly trained on either a red/green or circle/square discrimination task to show a differential classically conditioned cardiac deceleration. Combined section of the minor and horizontal commissure was then performed in animals trained on the colour problem, and transection of the posterior commissure in fish which had acquired the shape(More)
Asian Americans and Pacific Islanders (AAPIs) are often perceived as a monolithic group, despite their distinct composition of ethnic cultures, political ideologies, and socioeconomic backgrounds. AAPIs increasingly engage in online forums to disclose their experiences and opinions, and in doing so, take part in lengthy discussions that shape the views of(More)
Technological advances have increasingly automated tasks that have hitherto been done by humans. The disruption to the labor market is expected to grow as more and more jobs are lost to automation. Society would benefit from the open discussion of alternative policy approaches, such as Universal Basic Income (UBI), that can alleviate social tensions related(More)
Goldfish with unilateral ablation of the optic tectum and trained to the ablated side failed to learn or to transfer interocularly a differential classically conditioned color discrimination. The direct ipsilateral retinal projection to the intact/naive side is therefore shown to contribute little to engram formation. Evidence is also presented(More)
Twitter allows political candidates to broadcast messages directly to the public, some of which spread virally and potentially reach new audiences and supporters. During the 2014 U.S. gubernatorial election, 74 candidates posted 20,580 tweets, of which, 10,946 were retweeted a total of 139,315 times. Using content analysis, automated classification and(More)
In this paper, we introduce a lexicon-based method for identifying political topics in social media messages. After discussing several critical shortcomings of unsupervised topic identification for this task, we describe the lexicon-based approach. We test our lexicon on candidate-generated campaign messages on Facebook and Twitter in the 2016 U.S.(More)
While online behavior creates an enormous amount of digital data that can be the basis for social science research, to date, the science has been conducted piecemeal, one internet address at a time, often without social or scholarly impact beyond the site's own stakeholders. Scientists lack the tools, methods, and practices to combine, compare, contrast and(More)