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This study examines the web accessibility issues faced by users with disabilities when using ChatGPT, a popular chatbot. It is crucial for users with disabilities to have barrier-free access to Internet communications technology to be on par with other users. Because of its roots in artificial intelligence (AI) technology, ChatGPT can empower individuals with various abilities, providing access to the Internet and potentially leading to a substantial boost in digital inclusion for these users.

The researchers focused on ensuring ease of access to ChatGPT’s webpage to achieve the study objective. They conducted manual testing with a visually impaired researcher. They used axe DevTools and Accessibility Insights to investigate the target page’s three most commonly used states for accessibility issues.

The researchers identified substantial and crucial web accessibility issues on the target page. These issues resulted in frustration and hindered complete access to information about ChatGPT’s features. The researchers stress the significance of prioritising web accessibility and urge web designers to integrate Web Content Accessibility Guidelines (WCAG) standards into the initial stages of web development rather than addressing them as corrective measures. Given the United Nations' recognition of access to information and communication technology (ICT) as a pivotal Sustainable Development Goal (SDG) for users with disabilities, it is imperative to elevate web accessibility to foster their economic self-reliance and independence. This study underscores this imperative.

In this study, researchers assessed the accessibility of ChatGPT on the Google Chrome and Microsoft Edge browsers. This investigation could potentially be broadened to encompass additional web browsers. Furthermore, the researchers focused on three distinct states of ChatGPT: the initial default state, the subsequent output state and the third state, which represents errors on the target page. Further, developers can employ the results to enhance the accessibility experience for users with varying abilities who interact with ChatGPT.

Following a comprehensive examination of the current body of literature, the study pinpointed a gap in research, highlighting the necessity to conduct accessibility assessments for ChatGPT with regard to these particular users.

Prior evidence that financial reporting quality (FRQ) of publicly listed firms improves investment efficiency in developed markets leaves unaddressed questions of whether this relationship holds in emerging and frontier markets and what channels influence this relationship. This study aims to test the role of financial constraints faced by firms and managerial risk-taking on the association of FRQ and investment efficiency in 13,231 publicly listed firms in 24 emerging and frontier markets.

Available accounting data from 1998 to 2022 are collected for all listed firms across 41 industries in 24 countries. Causal relationships are tested using fixed-effect regression analysis, several additional tests and robustness checks are applied using alternative proxies and concerns for endogeneity are addressed using two-stage least square and system generalised method of moments analysis.

Findings show that FRQ of firms in emerging and frontier markets positively affects investment efficiency, the affirmative impact of FRQ on investment efficiency is higher when firms are facing more financial constraints and when managerial risk-taking is lower and financial constraints and risk-taking have a more pronounced impact on the link between FRQ and investment efficiency in the under-investment scenario.

These findings contribute to the growing body of evidence, shedding light on the meticulous interplay between FRQ and investment efficiency in frontier and emerging markets. Specifically, the increased financial constraints encountered by firms and a more conservative approach to managerial risk-taking emerge as crucial factors complementing this relationship.

The paper analyses the role and impact of Twitter in Spanish political communication, specifically focusing on how the platform influences the visibility and relevance of political candidates' messages during various election campaigns and across various political dimensions – government vs. opposition, traditional vs. populist, and left-wing vs. right-wing.

The study employs a longitudinal quantitative analysis perspective regarding the number and impact of messages posted by the main candidates in the six general elections held in Spain during the period 2011–2023. The tweets were automatically collected through the Twitter API for 54 days, between the call for elections and voting. The equalisation versus normalisation framework regarding social media is used.

The findings showed that the dissemination of messages on Twitter exhibited a skewed distribution characterized by notable differences in the unequal relevance of tweets between candidates on the left-right and traditional-populist axes, especially among the tweets with the highest impact. Tweets from opposition and populist candidates presented a greater level of relevance than those from government and conventional candidates. No discernible differences were identified along the ideological spectrum, indicating a high degree of cross-partisan engagement on social media. Findings indicate that opposition and populist candidates are strategically utilising Twitter, challenging the notion of normalisation and emphasising the equalising potential of social networks.

The study offers a long-term view of political communication, which is relatively rare in social media research, often focused on shorter time frames or single election cycles. The multidimensional comparison provides nuanced insights into how different political identities and affiliations are manifested and engaged with on social media.

In this study, we assessed the educational value and efficacy of a virtual educational escape room (VEER), called “The Mysterious Disappearance”, for training pre-service teachers.

“The Mysterious Disappearance” was developed ad hoc and contains various activities and puzzles focussing on the Sustainable Development Goals (SDGs). The research will evaluate the design quality and satisfaction of 193 participants regarding the VEER, their perceptions of game-based learning (GBL) and analyse which soft skills are most used and which valence typology (positive/pleasant or negative/unpleasant emotions) has the greatest impact on players’ experience. Descriptive, exploratory factor and inferential analyses are employed.

The study indicates that the VEER is rated very positively by pre-service teachers. Overall satisfaction levels are high, and the resource and methodology are perceived as favourable. The design quality of the resource is also well rated, with participants perceiving it as a challenging but engaging and well-balanced. Participation in the VEER shows several benefits, especially in cognitive and motivational areas. The participants demonstrated high levels of soft skills utilisation. The resource elicits predominantly positive and pleasurable emotions. Finally, there is a positive perception towards GBL among pre-service teachers, both as students and future teachers.

This study employs a multivariate analysis, using a questionnaire comprising three scales. This study’s dual focus on participants’ perceptions, as current Students and Future teachers, provides insights into their potential role as designers/implementers. Findings contribute to the ongoing development of academic hypotheses, particularly by highlighting the increased motivation linked to VEER use and its positive impact on learning. Designed with the SDG framework, the game enhances teachers' engagement with the 2030 Agenda, supporting their professional development and promotes values related to sustainability. The VEER was developed ad hoc by one of the authors, and the study has potential implications for numerous fields and areas of research.