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This study investigated the factors contributing to the reduction of plagiarism. It focuses on elucidating the concept of plagiarism, its legal and ethical implications, the punitive measures implemented to address plagiarism and the level of awareness of plagiarism policies.

An online survey was administered to 649 students (160 male, 489 female) of the College of Social Sciences at Kuwait University (KU) to investigate the relationships between a number of factors linked to plagiarism, including its definition, legal and ethical implications, understanding of plagiarism regulations and the consequences associated with plagiarism.

The aforementioned factors and underlying causes that contribute to engaging in plagiarism were substantially correlated. Regression analysis revealed that variables such as legal and ethical considerations, familiarity with plagiarism regulations and the existence of sanctions were statistically significant predictors of the factors contributing to the occurrence of plagiarism.

The findings can help the Kuwait University administration and similar universities in the region focus on increasing students’ awareness of plagiarism and can aid in developing better policies that include the definition of plagiarism and penalties for undertaking this academic misconduct.

This study shows universities the importance of increasing students’ awareness of academic misconduct and can help create appropriate and robust policies.

The paper seeks to introduce the “critical open access literacy” construct as a holistic approach to confront the challenges in open access (OA) as a dimension of scholarly communication.

The paper first introduces the concepts of information literacy (IL) and OA in the context of transformations in the scholarly information environment. Via a theoretical-analytical exercise on the basis of a literature review of the intersections between the two concepts and of the criticisms of OA, the paper discusses the role of critical IL in addressing the challenges in OA and lays the theoretical-conceptual groundwork for the critical OA literacy construct.

The structural nature of the challenges and transformations in the scholarly information environment require new foci and pedagogical practices in library and information studies. A more holistic, critical and integrative approach to OA is warranted, which could effectively be achieved through the re-conceptualization of IL.

The paper specifies the avenues for putting the theoretical conceptualizations of critical OA literacy into practice by identifying possible foci for IL instruction alongside a transformed role for librarians.

The paper extends deliberations on the role of critical IL for scholarly communication and attempts to advance the research fields of the two domains by proposing a new construct situated at the junction of OA and IL.

This study aims to assess the digital literacy competencies among students in higher learning institutions in Kazakhstan.

A survey design was used. Simple random sampling was used to draw sample. Primary data were collected using Web/online questionnaires (Google Form). A total of 370 online questionnaires were disseminated to the respondents to their email addresses. Quantitative data collected were analyzed using MS Excel 2010. Thus, descriptive statistics were computed and the results were further presented in tables, charts and figures.

Results reveal that students are very competent in using digital technologies to communicate and share their educational digital contents, whereas they indicate moderate competence and incompetence in other essential digital literacy skills crucial for their academic pursuits. Furthermore, this study revealed that students frequently use digital technologies for educational purposes, with statistical analysis [t(381) = 4.562, p < 0.00001, two-tailed] indicating a significant difference between the extent and purpose of their digital usage. Moreover, findings identified health issues, technical issues and the constantly changing of hardware and software as primary challenges faced students when engaging with digital technologies.

This study is new in the context of Kazakhstan analyzing the digital literacy competencies among students, with a particular focus on elucidating the five fundamental facets of such competencies. This study therefore, recommends the implementation of comprehensive and consistent training programs aimed at imparting necessary digital literacy skills to students.

This correlational study conducted at Ban Phaeo Hospital, Thailand, aimed to assess the health literacy levels of 105 older adult stroke survivors from November 2021 to February 2022.

The study uncovered a moderate level of health literacy among participants, as indicated by a mean score of 66.85 (SD = 8.151).

Significant positive correlations were observed between health literacy and several key factors, including patient-provider relationships (r = 0.550, p < 0.001), social support (r = 0.548, p < 0.001) and perceived health status (r = 0.484, p < 0.001). These findings emphasize the interconnectedness of health literacy with critical elements of healthcare engagement and well-being.

To advance stroke prevention in the older adult population, future research should focus on evaluating nurse-led interventions designed to enhance health literacy.

Raising awareness about the influence of patient-provider relationships, social support networks and perceived health status represents the initial stride toward a successful strategy for elevating health literacy and preventing recurrent strokes in this demographic.

This work is entirely original, all authors listed contributed to the project and have approved the final draft for submission. This work of art has not been published or is under consideration elsewhere. This study addresses the crucial gap in the literature by uncovering moderate health literacy levels among older adult stroke survivors. It delves into the intricacies of health literacy in this population, establishing correlations with patient-provider relationships, social support and perceived health status. The study emphasizes the critical role of health literacy in healthcare engagement and well-being, advocating for nurse-led interventions to enhance health literacy and prevent recurrent strokes in older adults.

In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from human-generated content. Another reason is that ChatGPT easily gives anyone access to knowledge. However, there is a problem as the vast majority of its users have no idea how this AI platform works and thus overlook the importance of thinking critically about information communicated in ChatGPT. While some call for banning this generative AI tool, this study aims to provide evidence that science classrooms can become scenarios where students find explicit, concrete, and realistic opportunities to critically evaluate scientific information generated by ChatGPT.

An intervention study was conducted with 55 students (26 females and 29 males, 17–24 years old) during a university Spanish-English bilingual science course taught within an active learning environment. The data consist of the written critiques of the students about Spanish-English bilingual scientific texts produced by ChatGPT.

Results indicate that the intervention had a positive effect on students’ abilities to construct sound arguments in Spanish and in English while judging the quality of scientific texts produced by this AI bot. Moreover, the findings suggest that the intervention enriched students’ skills to make improvements to texts produced by this generative AI tool.

The evidence provided in this study contributes to the exploration of possibilities to help students become critical users of ChatGPT.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

This research exclusively focuses on China’s elderly Internet users given how severe a threat disinformation has become for this particular population group as social media platforms thrive and the number of elderly netizens grows in China. The purpose of this study is to explore the mechanism of how elderly social media users’ intention to identify false information is influenced helps supplement the knowledge system of false information governance and provides a basis for correction practices.

This study focuses on the digital literacy of elderly social media users and builds a theoretical model of their intention to identify false information based on the theory of planned behaviour. It introduces two variables – namely, risk perception and self-efficacy – and clarifies the relationships between the variables. Questionnaires were distributed both online and offline, with a total of 468 collected. A structural equation model was built for empirical analysis.

The results show that digital literacy positively influences risk perception, self-efficacy, subjective norms and perceived behavioural control. Risk perception positively influences subjective norms, perceived behavioural control and the attitude towards the identification of false information. Self-efficacy positively influences perceived behavioural control but does not significantly impact the intention to identify. Subjective norms positively influence the attitude towards identification and the intention to identify. Perceived behavioural control positively influences the attitude towards identification but does not significantly impact the intention to identify. The attitude towards identification positively influences the intention to identify.

Based on relevant theories and the results of the empirical analysis, this study provides suggestions for false information governance from the perspectives of social media platform collaboration and elderly social media users.

The surge of artificial intelligence (AI) applications and subsequent adoption by consumers and marketers has ignited substantial research exploring the benefits and opportunities of AI. Despite this, little attention has been given to its unintended negative consequences. In this paper, the authors examine both the practitioner and academic sides of ethical AI. In doing so, the authors conduct an extensive review of the AI literature to identify potential issues pertaining to three areas: individual consumers, societal and legal. The authors identify gaps and offer questions to drive future research.

The authors review recent academic literature on AI in marketing journals, and top ethical principles from three top technology developers (Google, IBM and Meta) in conjunction with media reports of negative AI incents. They also identify gaps and opportunities for future research based on this review.

The bibliographic review reveals a small number of academic papers in marketing that focus on ethical considerations for AI adoption. The authors highlight concerns for academic researchers, marketing practitioners and AI developers across three main areas and highlight important issues relating to interactive marketing.

This paper highlights the under-researched negative outcomes of AI adoption. Through an extensive literature review, coupled with current responsible AI principles adopted by major technology companies, this research provides a framework for examining the dark side of AI.