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This research investigates the presence of communitarian philosophy within contemporary Scottish public library strategy, exploring links between philosophy, politics and practice.

The paper follows a qualitative research approach, combining content analysis and discourse analysis methodologies for the analysis of a corpus of Scottish public library trust documentation according to a thematic framework of communitarian values.

The analysis revealed strong links between trust strategy and communitarian values but also highlighted contradictions within this form of communitarianism which belied a deeper neoliberal philosophical foundation. The research therefore identified a communitarian strategic service shift which introduced benefits of social inclusion, community autonomy and common good but also brought concerns of an inherently weakened communal foundation and the survival of a neoliberal status quo.

The analysis is focused on strategy in Scotland only and thus can only claim to be representative of that country. However, the growth in communitarian strategies in the public sector is informed from the analysis undertaken.

The paper provides a novel analysis of public library strategy and thus contributes to the understanding of public library practice in the modern era.

The impacts of communitarian philosophy in the public sphere are under-researched and how these changes impact the mission of libraries needs to be better understood.

This is the first analysis to consider public library strategy from a communitarian point of view. As such, it provides novel insights into a growing area of public service development.

This paper aims to investigate how the Japanese media conveyed the country’s foreign aid policy and analyse how framing biases in the news differ depending on which language (either Japanese or English) was used in the broadcasts.

This study uses a qualitative single case-study design and conducts a content analysis. The study uses news videos about the fifth Tokyo International Conference on African Development aired on YouTube by the Japanese media using Japanese and English.

The findings reveal subtle but notable differences in the patterns of the framing biases in the Japanese media’s news aired in Japanese intended for the domestic audience, and in the news on the same topic broadcast in English to the international audience.

The limitation of the study is the rather small data set used for the single case study of one event.

Framing biases could lead the general public in a monolingual society to a more skewed view of their government’s policy and its activities abroad. This could be an obstacle to developing a common ground for global issues and cross-border policy agendas.

The study explores an under-researched function of language in international affairs. It highlights how the mass media in a non-English-speaking country uses a dual approach to framing news while addressing different audiences. To the best of the author’s knowledge, the context that this paper deals with is novel because there are limited studies on the nexus between the influence of language choices and media logic in the field of international business.

Widespread news coverage, politicised debate and social media commentary have given prominence to COVID-19 as an unparalleled threat to global health and mortality, intensifying panic and insecurity worldwide. In response, the endorsement and amplification of false claims about the pandemic has proliferated, in many cases, by public figures in the online ‘wellness’ realm. Using COVID-19 as a case study, this chapter interrogates observed connections between digital wellness cultures and informational disorders in times of crisis. The authors discuss the bourgeois liberal-individualist ideals that increasingly underpin much of this communication, exemplified through the co-option of social justice rhetoric and narratives of the ‘persecuted hero’. The authors also recognise the growing number of wellness influencers openly resisting pandemic-related mis/disinformation, and note the forms of anti-individualist, mutual care demonstrated in these ‘debunking’ efforts. The authors argue that these practices reflect a form of networked solidarity – enacted alongside a discursive distancing from individualist modes of thinking – that can be understood by applying a social ecological framework for understanding ‘resilience’.

Using bibliometric techniques, the author analyzes a dataset of 276 articles on cross-border mergers and acquisitions (CBMAs) published in 13 management and international business journals. The author assesses the scientific impact and visualizes the intellectual landscape of research on CBMAs by analyzing publication and citation data and interconnections between publications. First, the author assesses annual publication trends and identifies highly cited articles and productive journals in the dataset that have significantly contributed to our understanding of CBMAs. Second, the author identifies main themes in recent research on CBMAs by focusing on frequently used keywords in publications. Third, the author identifies clusters of related research and explores their interrelationships to outline emerging trends, new perspectives, and directions for future research on CBMAs. Overall, this chapter contributes to the understanding of CBMAs by documenting the progress made to date and providing important insights for future research.

This study aims to describe and analyze the differences in the linguistic styles of honest and dishonest stories.

This paper uses a descriptive study with a multivariate analysis of linguistic categories according to the story. The research analyzed 37 honest stories and 15 dishonest stories produced during actual legal proceedings through software Linguistic Inquiry and Word Count (LIWC).

The authors find that individuals who engage in deception use a different number of words when they narrate facts. The results suggest a need for additional investigation of the linguistic style approach because of its high applicability and detection accuracy. This approach should be complemented by other types of verbal, nonverbal and psychophysiological deception detection techniques.

Among the limitations, the authors consider length of the stories should be considered and scarce scientific literature in Spanish to compare with outcomes in English.

This research highlights the relevance to include linguistic style in real contexts to differentiate honest and dishonest stories due to objectivity and agility to implement.

Understanding deception as a social behaviour and its psychological processes associated are elements that contribute to people and justice to comprehend it.

Analyzing real statements and discriminate differences in linguistic style, contribute to understand deeply this important behaviour to propose new methodologies and theories to explain it.

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

Understanding linguistic profiling and its substantial consequences on employee career development is essential in diverse workplaces. This study utilizes Levinson’s eras and career development theories to analyze the complicated relationship between linguistic profiling and biases, which hamper employee career development.

This study used an interpretive methodology and conducted thematic data analysis. It documented lessons learned from diverse viewpoints through semi-structured interviews with 19 participants conducted in November and December 2022.

The study demonstrates that linguistic discrimination occurs in diverse workplaces. After data exploration, four intriguing themes appeared. The first theme was related to employees who were discriminated against because of various languages. This shows how often language choice affects employees. The second theme examined how linguistic profiling intersected with marginalized groups, increasing discrimination. The third theme, linguistic profiling and career development showed that bias had a huge influence on career progression. The fourth theme emphasizes organizational policies for preventing language discrimination, promoting career growth and inclusive organizations.

This study advances the understanding of linguistic profiling and career development in a multilingual society. In addition, it furthers discourse and provides ways to minimize biases, creating a more inclusive workplace environment.

The purpose of this paper is to address the complexity of missing persons cases and highlight the linguistic differences that arise in this type of crime. Missing persons cases are typically very complex investigations. Without a body, crime scene forensics is not possible, and police are often left only with witness and suspect statements. Forensic linguistics methods may help investigators to prioritise or remove suspects. There are many competing approaches in forensic linguistic analysis; however, there is limited empirical research available on emerging methods.

This research investigates Statement Analysis, a recent development in linguistic analysis that has practical applications in criminal investigations. Real-world statements of individuals convicted of or found to be not guilty of their involvement in missing persons cases were used in the analyses. In addition, Behaviour Sequence Analysis was used to map the progressions of language in the suspects' statements.

Results indicated differences between the guilty and innocent individuals based on their language choices, for example, guilty suspects in missing [alive] cases were found more likely to use passive language and vague words because of high levels of cognitive load associated with the several types of guilty knowledge suspects in missing persons cases possess. Of particular interest is the use of untruthful words in the innocent suspects’ statements in missing [murdered] cases. While typically seen in deceptive statements, untruthful words in innocent statements may result because of false acquittals.

This research provides some support for Statement Analysis as a suitable approach to analysing linguistic statements in missing persons cases.

The purpose of this paper is to investigate the relationship between board gender equality and environmental, social and governance (ESG) performance in the European banking sector. The study examines whether and how the presence of women on the board of directors (BoD) influences ESG dimensions.

The authors analyzed a sample of 72 European Union banks for the period 2015–2021 and developed an econometric model applying unbalanced panel data regression with firm fixed effects and controls per year. To test the research hypotheses, the authors considered gender equality in terms of female participation on the BoD and measured ESG dimensions by using the ESG score provided by Refinitiv.

The findings suggest a significant positive relationship between the number of women on BoD and the ESG performance of European banks only up to a certain threshold of female directors (at least three women). The study also explores how the proportion of women on BoD influences the individual ESG pillars. The results show that the percentage of female directors has a positive and statistically significant impact on the social dimension of the ESG framework.

The investigation is highly relevant to investors considering ESG issues in their decision-making process. The overall findings support policymakers and regulators on how to improve ESG performance through the design and the application of corporate governance (CG) mechanisms. From a managerial perspective, the study suggests that managers and CEOs should focus their efforts on establishing the right gender combination of directors on bank BoDs.

This paper offers an in-depth examination of the CG practices of banks, and it attempts to bridge the gap in prior literature on the determinants of ESG issues in the European banking industry. To the best of the authors’ knowledge, this study is the first that investigates the relationship between the representation of women on BoDs and the ESG dimensions measured by the Refinitiv Eikon score. The use of critical mass theory adds a fresh perspective to the literature on ESG in Europe since the influence of board gender diversity on ESG performance of the European banks is still unaccounted for. This study addresses this pressing research issue drawing on resource dependence, agency and legitimacy theories.