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Sentiment Analysis of Public Commentary on U.S. Farm Bills
No full textThis study applies sentiment analysis to public commentary on U.S. farm bills to assess patterns of support and opposition. Using Reddit posts from relevant subreddits, we employed two natural language processing models, VADER and RoBERTa, to evaluate sentiment over time. While both models yielded differing sentiment distributions, they revealed increased public engagement during farm bill years, particularly in 2018. Most sentiments were neutral, but negative opinions outweighed positive ones. Posts with stronger sentiments tended to attract more user interaction, especially controversial ones. These findings highlight the polarized yet active public discourse surrounding agricultural policy and the potential for data-driven policy insight
A Simple Hope Scale Validated for Entrepreneurship
No full textWe resolve splintered theorization of hope by developing a more reliable and valid measure of hope for the context of entrepreneurship. Based on the received view of hope we tested the social psychological hope scale (SPHS) against our entrepreneurship-contextual simple hope scale (SHS), which is based on a definition of hope that gets at what entrepreneurs mean by hope. Our findings help develop and support SHS as having greater reliability (internal and test-retest) and validity (face, convergent, and predictive) than SPHS. The SHS helps advance entrepreneurship theory and practice by further developing the scholarly conversation regarding spiritual concepts in entrepreneurship.
“Hope” is the thing with feathers – Emily Dickinso
Embracing Robotics: Understanding Socially Excluded Consumers’ Preference for Human Employees and Robots in Service Encounters
No full textService robots are increasingly employed in frontline services, but consumers have shown hesitance and even resistance toward robot service providers. We identified a robot preference effect for socially excluded consumers. Four preregistered studies (one in the field) found that socially excluded consumers show a greater preference for robot service providers than non-excluded or socially included consumers. This preference is driven by heightened social anxiety, which makes socially excluded individuals more likely to avoid negative feedback and rejection during service interactions, increasing their preference for robots. This effect is moderated by robot anthropomorphism and physical embodiment
Global Adoption Trend of Cryptocurrencies: A Financial Inclusion Study Using Bitcoin
No full textThis study investigates the trend of global adoption of cryptocurrencies from a financial inclusion perspective, measured by gender, education, and income. The authors examine data on Bitcoin adoption across three different time periods, 2011, 2017 and 2021, from 74 countries. The findings indicate that users who identify as female and those with a primary education or less, consistently adopted Bitcoin, while low-income users adopted Bitcoin more prevalently in 2011 and 2017. The authors conclude that cryptocurrencies have emerged as real alternatives for individuals who face systemic marginalization from more conventional financial market
The Adventure Begins: Kearney Catholic Football (The First Four Years)
Full text linkThe primary focus of this document, The Adventure Begins…The First Four Years of Kearney Catholic Football, is the history of football at Kearney Catholic High School that begins with the playing of the first 34 games from 1961 to 1964. However, the scope of the KCHS football history is much larger and longer than just those first four years. It is actually an ongoing story of the KCHS Football Adventures, each Adventure lasting one season, which began with our first football game on September 13, 1961.
Digital edition provided by and posted with the permission of the author.https://openspaces.unk.edu/spec-coll/1072/thumbnail.jp