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Augmented reality technology has implications for the ways that the field of library and information science (LIS) serves users and organizes information. Through content analysis, the author examined how augmented reality (AR) is conceptualized within a sample of LIS literature from the Library and Information Science and Technology Abstracts (LISTA) database and Google Blogs postings, and whether Radical Change Theory (RCT) and the digital age principles of interactivity, connectivity and access are present in the discussion of this technology. The analysis of data led to the identification of 14 categories comprised of 132 total codes across sources within the data set.  The analysis indicates that the conceptualization of AR, while inconsistent, suggests expectations that overall, the technology will enhance the user experience.   This can lead to future examinations of user behavior, response and observation of technologies like AR.

Purpose Learning how to identify and avoid inaccurate information, especially disinformation, is essential for any informational consumer. Many information literacy tools specify criteria that can help users evaluate information more efficiently and effectively. However, the authors of these tools do not always agree on which criteria should be emphasized, what they mean or why they should be included in the tool. This study aims to clarify two such criteria (source credibility and soundness of content), which evolutionary cognitive psychology research emphasize. This paper uses them as a basis for building a question-based evaluation tool and draws implications for information literacy programs. Design/methodology/approach This paper draws on cross-disciplinary scholarship (in library and information science, evolutionary cognitive psychology and rhetoric studies) to explore 15 approaches to information evaluation which conceptualizes source credibility and content soundness, two markers of information accuracy. This paper clarifies these two concepts, builds two sets of questions meant to elicit empirical indicators of information accuracy and deploys them against a recent piece of journalism which embeds a conspiracy theory about the origins of the COVID-19 pandemic. This paper shows how the two standards can help us determine that the article is misleading. This paper draws implications for information literacy programs. Findings The meanings of and relationships between source credibility and content soundness often diverge across the 15 approaches to information evaluation this paper analyzed. Conceptual analysis allowed the authors to articulate source credibility in terms of authority and trustworthiness, and content soundness in terms of plausibility and evidential support. These conceptualizations allow the authors to formulate two respective sets of appropriate questions, the answers to which are meant to function as empirical indicators for the two standards. Deploying this instrument provides us with the opportunity to understand why a certain article discussing COVID-19 is misleading. Originality/value By articulating source credibility and content soundness as the two key criteria for evaluating information, together with guiding questions meant to elicit empirical indicators for them, this paper streamlines the process through which information users can judge the likelihood that a piece of information they encounter is accurate.

Misinformation, or incorrect information, in all forms is a recent and widespread threat. While information literacy methods, such as the CRAAP method and the RADAR framework, more research is necessary to determine prevalence and effectiveness of these methods. In this mixed-methods survey, I evaluated Gen Z information seekers’ experience with and implementation of information literacy methods, specifically how these methods informed their ability to identify correct visual information. While Gen Z information seekers understand the importance of information literacy, they were relatively unsuccessful at correctly identifying visual information and visual misinformation. The results of this study have informed understandings of Gen Z’s information literacy skills and the design of a visual literacy method: FACTS?. More research into the relationship between Gen Z, information literacy, and the ability to determine the difference between visual information and visual misinformation is necessary.

Augmented reality technology has implications for the ways that the field of library and information science (LIS) serves users and organizes information. Through content analysis, the author examined how augmented reality (AR) is conceptualized within a sample of LIS literature from the Library and Information Science & Technology Abstracts (LISTA) database and Google Blogs postings, and whether Radical Change Theory (RCT) and the digital age principles of interactivity, connectivity and access are present in the discussion of this technology. The analysis of data led to the identification of 14 categories comprised of 132 total codes across sources within the data set. The analysis indicates that the conceptualization of AR, while inconsistent, suggests expectations that overall, the technology will enhance the user experience. This can lead to future examinations of user behavior, response and observation of technologies like AR.

The purpose of the following study was to evaluate sexual trauma and the effects on women veteran's quality of life ratings and current and past coping strategies. Participants were screened for sexual trauma history and divided into five mutually exclusive categories: (1) childhood sexual trauma, (2) civilian adult sexual trauma, (3) military sexual trauma, (4) multiple sexual trauma, and (5) no sexual trauma. Results of the study were mixed, retaining some hypotheses and rejecting others Results regarding differences in QOL for the sexual trauma groups were rejected, as none of the QOL analyses were significant. Issues of small effect size for the QOL measure and low power to detect differences are discussed as limitations in the current study. Several significant findings were detected in the coping analyses. As predicted, the no trauma group was found to use significantly more approach coping strategies than the sexual trauma group for the past problem. Additionally, the sexual trauma group used significantly more avoidant coping techniques for past problem than the no trauma group. No between group differences were detected for sexual trauma type, however, several significant differences emerged in the comparisons of the multiple sexual trauma and military sexual trauma group's past coping compared to the no sexual trauma group's coping strategies. For past coping, the no trauma group used more approach strategies than the military or multiple trauma group. Past and current significant CRI subscale differences were also detected. Results regarding the relationship between QOL and CRI were rejected, as the two scales were not found to correlate significantly. Trauma history and avoidant coping were also nonsignificant predictors for General Life Satisfaction on the QOL measure. Additional exploratory analyses are presented as well as implications for research, theory and clinical practice.

Humans express loyalty to consumer brands much like they do in human relationships. The neuroactive chemical oxytocin is an important biological substrate of human attachment and this study tested whether consumer-brand relationships can be influenced by oxytocin administration. We present a mathematical model of brand attachment that generates empirically-testable hypotheses. The model is tested by administering synthetic oxytocin or placebo to male and female participants (N = 77) who received information about brands and had an opportunity to purchase branded products. We focused on two brand personality dimensions: warmth and competence. Oxytocin increased perceptions of brand competence but not brand warmth relative to placebo. We also found that participants were willing to pay more for branded products through its effect on brand competence. When writing about one’s favorite brands, oxytocin enhanced the use of positive emotional language as well as words related to family and friends. These findings provide preliminary evidence that consumers build relationships with brands using the biological mechanisms that evolved to form human attachments.

Human behavior lies somewhere between purely self-interested homo economicus and socially-motivated homo reciprocans . The factors that cause people to choose self-interest over costly cooperation can provide insights into human nature and are essential when designing institutions and policies that are meant to influence behavior. Alcohol consumption can shed light on the inflection point between selfish and selfless because it is commonly consumed and has global effects on the brain. The present study administered alcohol or placebo (N = 128), titrated to sex and weight, to examine its effect on cooperation in a standard task in experimental economics, the public goods game (PGG). Alcohol, compared to placebo, doubled the number of free-riders who contributed nothing to the public good and reduced average PGG contributions by 32% (p = .005). This generated 64% higher average profits in the PGG for those who consumed alcohol. The degree of intoxication, measured by blood alcohol concentration, linearly reduced PGG contributions (r = -0.18, p = .05). The reduction in cooperation was traced to a deterioration in mood and an increase in physiologic stress as measured by adrenocorticotropic hormone. Our findings indicate that moderate alcohol consumption inhibits the motivation to cooperate and that homo economicus is stressed and unhappy.

Atmospheric nitrogen (N) deposition has increased dramatically since preindustrial times and continues to increase across many regions of the Earth. In temperate forests, this agent of global change has increased soil carbon (C) storage, but the mechanisms underlying this response are not understood. One long-standing hypothesis proposed to explain the accumulation of soil C proposes that higher inorganic N availability may suppress both the activity and abundance of fungi that decay lignin and other polyphenols in soil. In field studies, elevated rates of N deposition have reduced the activity of enzymes mediating lignin decay, but a decline in the abundance of lignolytic fungi has not been definitively documented to date. Here, we tested the hypothesis that elevated rates of anthropogenic N deposition reduce the abundance of lignolytic fungi. We conducted a field experiment in which we compared fungal communities colonizing low-lignin, high-lignin, and wood substrates in a northern hardwood forest that is part of a long-term N deposition experiment. We reasoned that if lignolytic fungi decline under experimental N deposition, this effect should be most evident among fungi colonizing high-lignin and wood substrates. Using molecular approaches, we provide evidence that anthropogenic N deposition reduces the relative abundance of lignolytic fungi on both wood and a high-lignin substrate. Furthermore, experimental N deposition increased total fungal abundance on a low-lignin substrate, reduced fungal abundance on wood, and had no significant effect on fungal abundance on a high-lignin substrate. We simultaneously examined these responses in the surrounding soil and forest floor, in which we did not observe significant reductions in the relative abundance of lignolytic fungi or in the size of the fungal community; however, we did detect a change in community composition in the forest floor that appears to be driven by a shift away from lignolytic fungi and towards cellulolytic fungi. Our results provide direct evidence that reductions in the abundance of lignolytic fungi are part of the mechanism by which anthropogenic N deposition increases soil C storage.

Macrophages are versatile immune cells that can detect a variety of pathogen-associated molecular patterns through their Toll-like receptors (TLRs). In response to microbial challenge, the TLR-stimulated macrophage undergoes an activation program controlled by a dynamically inducible transcriptional regulatory network. Mapping a complex mammalian transcriptional network poses significant challenges and requires the integration of multiple experimental data types. In this work, we inferred a transcriptional network underlying TLR-stimulated murine macrophage activation. Microarray-based expression profiling and transcription factor binding site motif scanning were used to infer a network of associations between transcription factor genes and clusters of co-expressed target genes. The time-lagged correlation was used to analyze temporal expression data in order to identify potential causal influences in the network. A novel statistical test was developed to assess the significance of the time-lagged correlation. Several associations in the resulting inferred network were validated using targeted ChIP-on-chip experiments. The network incorporates known regulators and gives insight into the transcriptional control of macrophage activation. Our analysis identified a novel regulator (TGIF1) that may have a role in macrophage activation.