Stephen A. Rains’s research while affiliated with University of Arizona and other places

... A multinational study found that government-mandated proof-of-vaccination requirements had a sizable and statistically significant impact on COVID-19 vaccine uptake [34]. On the other hand, an analysis of US state-level vaccine mandates and population-level vaccination suggested that COVID-19 vaccine mandates may be ineffective and may reduce the adoption of other voluntary vaccines [35]. Despite mixed evidence, mandates remain an essential component of public health strategy, particularly in healthcare settings and schools, and especially if they are perceived as a measure to increase collective protection [33]. ...

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Political Affiliation, Policy Measures, and Intention to Receive COVID-19 and Influenza Vaccines

... Due to their increasingly powerful capabilities, these technologies have great potential to play important roles in supporting resilience. In this paper we propose Resilience Informatics (RI) as the application of informatics techniques to materially improve and promote the ability of people, communities, and organizations, to effectively cope with natural and man-made stressors [25]. We introduce RI as a people-centric field of study, research, and development. ...

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Resilience Informatics: Role of Informatics in Enabling and Promoting Public Health Resilience to Pandemics, Climate Change, and Other Stressors

... Hospitality Geegan et al. (2023) found that inoculation messages were more effective than narrative and control messages in building cognitive resistance in a social marketing campaign. ...

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Embrace Uncertainty:

... com and assess inequity in crowdfunding amounts raised between LGBTQ+ and non-LGBTQ+ cancer crowdfunding campaigns. 18 ...

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LGBTQ+ inequity in crowdfunding cancer costs: The influence of online reach and LGBTQ+ state policy

... There are several lexicons built from very diverse sources, such as the Social Contextualized Affect Lexicon (SO-CAL), SentiWordNet, AFINN, and ANEW, to name a few [14][15][16][17]. SO-CAL aims to analyze sentiment in social network contexts, captures how emotions are expressed in informal language, and evaluates emotions in terms of valence, arousal, and dominance [18][19][20]. ...

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Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts

... This finding is not surprising in that individuals' motivation to engage in a cognitive process or a behavior is often influenced by whether the subject matter is important to them (Johnson et al., 1995). It is also in line with previous research on the influence of issue involvement on health information seeking (e.g. Park and Go, 2016;Yang et al., 2023). We included involvement as a covariate in this study, as our focus was on the influence of processing fluency on communication efficacy and information seeking intention, but issue involvement continues to play an important role in the context of health. ...

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Improving processing fluency to encourage family health information seeking: The mediating role of communication efficacy

... It can be used to measure how one partner's physiology at one time point predicts the other partner's physiology at a later time point (see Fig. 1b). Several recent studies based on this model have explored how mothers provide support to infants (Krzeczkowski et al., 2022), how humans influence each other's emotions (Nook et al., 2023), and how higher-status people influence others (Rains et al., 2023). In this study, we want to explore the physiological influence of teachers on students based on stability and influence model. ...

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How dyadic emotional transmission shapes teacher-student relationship: effects of emotional convergence on cohesion in teacher-student interaction

... We authors have built an additional classifier that identifies name-calling specifically (and it is available to others via the platform Hugging Face 1 ; Sadeque et al., 2019;Ozler et al., 2020). Automated classifiers make it possible to detect text features such as name-calling at scale and to discover variations in their deployment across time and individuals (e.g., Rains et al., 2021;Rains et al., 2023a;Rains et al., 2023b). ...

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Detecting Antisocial Norms in Large-Scale Online Discussions

... Its applications go beyond traditional text analysis, encompassing speech recognition, language generation, and sentiment-aware content creation [12]. NLP has evolved from being a mere novelty to becoming a foundational element of modern technology, reshaping how businesses operate, how individuals interact with their devices, and how society harnesses the power of information [13]. As NLP continues to advance, unlocking new realms of communication, its potential for further innovation and societal transformation seems limitless, establishing itself as one of the most potent and awe-inspiring branches of AI. ...

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Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model

... As one example, fraternity membership may lead to more regular exposure to sports media, which subsequently impacts RMA (fraternity membership as predictor). As another example, the relationship between sports media exposure and RMA may be stronger among fraternity members as group norms reinforce sexist messages in sports media (fraternity membership as moderator), (see Wright, Tokunaga, Perry, & Rains, 2023, for further discussion about how the same variable can play multiple roles in the media effects process). Age: Participants were asked to report their age in years. ...

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Explaining College Men's Rape Myth Acceptance: The Role of Sports Media, Masculine Norms & Fraternity Membership