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The purpose of this paper is to explore the potential benefits and challenges of using large language models (LLMs) like ChatGPT to edit Wikipedia.

The first portion of this paper provides background about Wikipedia and LLMs, explicating briefly how each works. The paper's second section then explores both the ways that LLMs can be used to make Wikipedia a stronger site and the challenges that these technologies pose to Wikipedia editors. The paper's final section explores the implications for information professionals.

This paper argues that LLMs can be used to proofread Wikipedia articles, outline potential articles and generate usable Wikitext. The pitfalls include the technology's potential to generate text that is plagiarized or violates copyright, its tendency to produce “original research” and its tendency to generate incorrect or biased information.

While there has been limited discussion among Wikipedia editors about the use of LLMs when editing the site, hardly any scholarship has been given to how these models can impact Wikipedia's development and quality. This paper thus aims to fill this gap in knowledge by examining both the potential benefits and pitfalls of using LLMs on Wikipedia.

This study explored the information practices of cosplayers, as well as the social norms, social types and information infrastructure of an online cosplay Facebook group, the Rey Cosplay Community (RCC).

To better understand individual behavior, the authors made use of ethnographic methods and semi-structured interviews. Observation of the RCC was combined with information gleaned from select participant interviews.

The results suggest that the RCC can be conceived of as an information community where fans obtain and share information about cosplay costume making. Sufficient and well-organized information and positive community culture greatly help community members make their costumes.

This works serves as a bridge between fan studies and information science research in its exploration of online communities, shared information practices and creating non-toxic virtual environments. It also lends support to the idea that positivity, respect for community rules and a tight-knit connection between members play essential roles in building a non-toxic fan and information community.

The purpose of this paper is to develop an EU sociotechnical systems (STSs) map to represent a harmonised concept of operations (CONOPS) as a future development platform for technologies used in multi-services emergency responses to chemical, biological, radiological and nuclear (CBRN) incidents.

AcciMaps were developed to locate where technologies are currently used, and opportunities for new technologies. The AcciMaps were iteratively co-designed with end users (fire, ambulance, police and military) across three EU countries (the UK, Finland and Greece). Data were collected using document analysis and interviews with senior ranking (Gold or Silver Command level) representatives of the participating end users.

Despite differences in terminology and between service sectors, consensus was achieved for the command structures (Gold, Silver and Bronze), and Hot Zone responders (specialist blue light responders and blue light responders (BLR)). A control room was included as the communication spine. BLR activities were limited by their scope of practice and available equipment, for example, breathing apparatus. The harmonised EU AcciMap offers a high-level STSs map of CBRN response. Critical segments have been identified which offer opportunities for technology developments that can add value in terms of response capabilities (e.g. tag and trace).

A large scale major CBRN incident may need cross-border and cross-professional engagement where efficient interoperability is vital. This research is the first EU consensus of a STS map for CONOPS. It supports future research for technology development, e.g., detection and decontamination equipment design and use, communication, diagnosis and response technologies.

When performing system-level developmental testing, time and expenses generally warrant a small sample size for failure data. Upon failure discovery, redesigns and/or corrective actions can be implemented to improve system reliability. Current methods for estimating discrete (one-shot) reliability growth, namely the Crow (AMSAA) growth model, stipulate that parameter estimates have a great level of uncertainty when dealing with small sample sizes. The purpose of this paper is to present an application of a modified GM(1,1) model for handling system-level testing constrained by small sample sizes.

The paper presents a methodology for incorporating failure data into a modified GM(1,1) model for systems with failures following a poly-Weibull distribution. Notional failure data are generated for complex systems and characterization of reliability growth parameters is performed via both the traditional AMSAA model and the GM(1,1) model for purposes of comparing and assessing performance.

The modified GM(1,1) model requires less complex computational effort and provides a more accurate prediction of reliability growth model parameters for small sample sizes and multiple failure modes when compared to the AMSAA model. It is especially superior to the AMSAA model in later stages of testing.

This research identifies cost-effective methods for developing more accurate reliability growth parameter estimates than those currently used.

Analyses of work based learning (such as that offered by Brennan and Little) have typically ignored the issue of ownership of knowledge. Here the authors consider this issue as it relates to accreditation in the UK higher education sector, arguing that the points raised have relevance for the international community. The main argument is that employing organisations are the main beneficiaries of accreditation, and as such universities need to make a much clearer case for work based learning to safeguard learners – and society – from exploitation and the universities from becoming vessels for narrowly defined performance statements, unworthy of higher education.

The article attempts to determine whether academic research in the area of finance has a direct link to the practitioners in the field.

This paper used a survey of over 50 finance practitioners to ask their opinion on the relevance of academic finance journals to their respective jobs.

The results suggest that most business practitioners are more interested in proprietary research than in generally distributed academic research, the academic peer‐review process seems to reduce the interest of practitioners in academic research due to the time lag between the findings of research and their publication, and the statistical significance of academic research results does not interest practitioners as much as the immediate relevance of the research findings to their respective jobs.

A review of the literature suggests this might be one of the first papers to actually test the hypothesis that academic finance research has a direct transference to the finance industry.

The purpose of this bibliometric and systematic literature review is to survey and evaluate key study’s in tacit knowledge (TK). Through analysing and synthesizing based on the antecedents, decisions, outcomes-theories, context and methods (ADO-TCM) framework, this paper highlights research gaps and avenues for future research. It is important to recognize the antecedents, results and theories in the available literature as it offers enough evidence for encouraging the significance of TK.

This research paper follows a bibliometric analysis and systematic approach in identifying, analyzing and synthesizing pertinent literature in TK. A total of 59 research studies were carefully and systematically reviewed with the help of NVivo12 and excel software to code and analyse.

With the help of bibliometric analysis and framework-based systematic review, this research paper offers a retrospective view of the TCM framework in the amalgamation with ADO framework, bibliometric analysis and important themes of TK research.

This paper is different from existing reviews as the authors have to combine bibliometric analysis and framework-based systematic review approach to provide a more robust encapsulation of TK research. To the best of the knowledge, the present research is one of the first systematic reviews based on a framework relating to TK.

The purpose of this paper is to use goal setting theory to examine the efficacy of two current messages advocating carbon cuts to address climate change. There is anecdotal evidence that the common message, “We must cut carbon 80 percent by 2050” does not inspire people to take personal action or endorse policy change. Other groups offer an alternative and potentially more motivating message: cutting carbon 2 percent per year until the year 2050.

A survey study with 300 adults attending a regional expo and two urban street festivals compared the two messages by embedding them within two versions of a text that differed only in the phrasing of the goal (“80 percent by the year 2050” vs “2 percent per year until the year 2050”).

Participants reading about “carbon emissions cuts of 2 percent per year until the year 2050” are significantly more likely to agree with the statement “I feel like I can be a part of the solution” than participants reading “carbon emissions cuts of 80 percent by the year 2050.”

The generalizability of these findings should be tested among different samples of people and will be extended by a number of studies that further examine the parameters of framing and goal setting in the context of climate change messages.

These results indicate that people are drawn to climate change solution messages that have both an overall, effective roadmap and manageable, concrete steps.

Groups advocating for steep cuts in carbon emissions can apply the results of this research to craft more effective messages.

The purpose of this study is to suggest an approach to regain consumer trust after negative effects of greenwashing that draws corporations and consumers into a conflicted relationship.

The authors collect and interpret qualitative data from in-depth interviews to develop a theoretical approach that enables the rebuilding of trust between greenwashing corporations and their consumers using the concept of psychological resilience.

This analysis indicates that the approach is an interaction between consumers with green brand loyalty and greenwashing corporations. This type of consumer demands emotional factors, functional factors and legitimate factors in the process of psychological resilience, and after greenwashing, corporations should select appropriate recovery strategies to stimulate these protective factors.

Previous research studied green consumer trust in the marketing field but did not explore the core of trust which was regarded as a cognitive process. This paper investigates green consumer behaviour under the perspective of psychological resilience and makes an innovative attempt to understand drivers of regaining consumer trust. Previous research works put forward a series of strategies related to regaining trust, but they did not discuss the mechanisms by which these strategies work. Using the method of grounded theory, we attempt to reveal the “black box” of consumers cognition after greenwashing and propose a strategy for regaining consumer trust.