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Culture is considered a critical aspect of social media usage. The purpose of this paper is to explore how cultures and languages influence multilingual users' cross-cultural information sharing patterns.

This study used a crowdsourcing survey with Amazon Mechanical Turk to collect qualitative and quantitative data from 355 multilingual users who utilize two or more languages daily. A mixed-method approach combined statistical, and cluster analysis with thematic analysis was employed to analyze information sharing patterns among multilingual users in the Chinese cultural context.

It was found that most multilingual users surveyed preferred to share in their first and second language mainly because that is what others around them speak or use. Multilingual users have more diverse sharing characteristics and are more actively engaged in social media. The results also provide insights into what incentives make multilingual users engage in social media to share information related to Chinese culture with the MOA model. Finally, the ten motivation factors include learning, entertainment, empathy, personal gain, social engagement, altruism, self-expression, information, trust and sharing culture. One opportunity factor is identified, which is convenience. Three ability factors are recognized consist of self-efficacy, habit and personality.

The findings are conducive to promoting the active participation of multilingual users in online communities, increasing global resource sharing and information flow and promoting the consumption of digital cultural content.

This study aims to investigate the integration of heritage language and culture in technology-enhanced bilingual education and examine the dominance of the English language and culture in computer-assisted language learning settings.

This research used a narrative inquiry methodology. The data came from semi-structured interviews with 25 bilingual teachers in the Kurdistan region of Iraq and Texas.

The study found a significant bias in the use of technology toward the target language, often at the expense of heritage language and culture. The curricula analyzed were predominantly focused on superficial cultural elements of the target language, leading to a neglect of deeper cultural engagement.

This research highlights the phenomenon of cultural cringe within bilingual education and the skewed use of technology toward the target language.

This article presents the results of a quantitative analysis of Ukrainian arts and humanities (A&H) research from 2012 to 2021, as observed in Scopus. The overall publication activity and the relative share of A&H publications in relation to Ukraine's total research output, comparing them with other countries. The study analyzes the diversity and total number of sources, as well as the geographic distribution of authors and citing authors, to provide insights into the internationalization level of Ukrainian A&H research. Additionally, the topical spectrum and language usage are considered to complete the overall picture.

This study uses the Scopus database as the primary data source for analyzing the general bibliometric characteristics of Ukrainian A&H research. All document types, except Erratum, were considered. A language filter was applied to compare the bibliometric characteristics of English versus non-English publications. In addition to directly imported data from Scopus, the study employs the ready-to-use SciVal tools to operate with A&H subcategories and calculate additional bibliometric characteristics, such as Citations per Publication (CPP), Field-Weighted Citation Impact (FWCI) and journal quartiles. Information on the country of journal publishers and details on delisted journals from Scopus were obtained from the official Source Title List available on the Elsevier website and the SCImago Journal and Country Rank Portal.

According to the results obtained, the publication patterns for Ukrainian A&H research exhibit dynamics comparable to those of other countries, with a gradual increase in the total number of papers and sources. However, the citedness is lower than expected, and the share of publications in top-quartile sources is lower for 2020–2021 period compared to the previous years. The impact of internationally collaborative papers, especially those in English, is higher. Nevertheless, over half of all works remain uncited, probably due to the limited readership of the journals selected for publication.

This study provides original insights into the bibliometric characteristics of Ukrainian A&H publications between 2012 and 2021, as assessed using the Scopus database. The authors’ findings reveal that Ukraine's A&H publications have higher visibility than some Asian countries with similar population sizes. However, in comparison to other countries of similar size, Ukraine's research output is smaller. The authors also discovered that cultural and historical similarities with neighboring countries play a more significant role in publication activity than population size. This study highlights the low integration of Ukrainian A&H research into the global academic community, evident through a decline in papers published in influential journals and poor citedness. These findings underscore the importance for authors to prioritize disseminating research in influential journals, rather than solely focusing on indexing in particular databases.

To explore the interplay between human translators and AI tools, focusing on tertiary students' perceptions in the context of Portuguese-Chinese translations in Macao.

This research employed a mixed-methods approach. Quantitative surveys were complemented by qualitative responses. Qualitative class observations (participant and non-participant) and autoethnography further enriched the insights. Participants included undergraduate and postgraduate students in translation studies from the Macao Polytechnic University.

The data revealed a dual perspective: appreciation for AI’s efficiency contrasted with concerns about its potential to overshadow human touch in translations, especially in cultural nuances. Views on integrating AI into curricula were diverse, but a balanced, synergistic approach between human expertise and AI efficiency emerged as a common theme.

This study offers a fresh perspective by integrating various methodologies, capturing both statistical and experiential insights on the evolving relationship between AI and human translation efforts in academia.

This study aims to reveal Türkiye's place on the global cultural map through eight dimensions compared to other countries with the help of these two subresearch questions: “Where is Türkiye positioned on Meyer's map, and how is the positioning when country groups are taken into account?”.

This issue is considered necessary regarding the country’s business culture, which is an emerging market. For this, 17 senior executives engaged in international trade activities were selected as cases. The eight dimensions of Erin Meyer’s culture map were analyzed by considering the interview data obtained from the executives.

As a result of the analysis, it was determined that Türkiye is in a position that can be called an east–west synthesis in terms of culture, even though it is geographically evaluated within MENA and that it is located close to the middle of the continuum axis on the basis of almost all dimensions. However, the three dimensions out of eight – communication, deciding and trusting – are relatively far from the middle. The authors believe that this situation is closely related to Türkiye’s unique historical characteristics.

The placement of the nations on a cultural map may be useful for practitioners. By looking at the relative position on this map and taking it into consideration while building connections and negotiating, for instance, businesses and policymakers who wish to enhance their ties with Türkiye can be aware of the distinctions between their own countries and Türkiye. The inhibiting nature of qualitative research prevents generalization; however, much bigger data set may be used for a comparable approach. Further research can be done to solve this issue because the cases under examination do not permit comparisons specific to the American continent.

The theoretical contribution of this study lies in its focused revelation of Turkey’s cultural positioning within the context of emerging markets. Positioning the countries on the cultural map can provide some convenience to the practitioners. Türkiye is a crucial clustering center when global production is considered. This opens the country to contact other cultures and enables intercultural transfer and learning.

This paper aims to investigate the determinants and consequences of using disclaimer language in the banks’ audit committee (AC) reports. This study aims to analyze the factors tempting AC members of banks to disclose disclaimer language in the AC reports and the effect of such language on the cost of equity.

The data cover the period from 2006 to 2015 and considers the top US bank holding companies. Voluntary disclosure in the AC report is manually coded by using a scoring grid. Multivariate regression analysis is mainly used in the study.

The findings suggest that the ACs are using the disclaimer language to protect themselves when disclosing a high level of voluntary information that describes their oversight activities or to reduce their liability exposure due to lower financial reporting quality. The findings also reveal that investors are requiring a higher return on their investments whenever ACs use disclaimer language in their reports.

The AC report provides useful information to shareholders who evaluate the AC’s performance and accordingly vote for or against AC members on annual basis. The paper sheds lights on the motives and consequences of disclaimer language in the ACs report. Thus, the study benefits shareholders by providing empirical evidence in regard to the usage of disclaimer language. Also, the findings benefit industry, corporate governance organizations, standard setters and regulators that analyze AC disclosures and issue recommendations or new standards for improving those disclosures.

This study aims to analyze translanguaging practices and beliefs of Iranian English for General Purposes (EGP) teachers and find discrepancies between the practice and perception of educators in bi/multilingual species in Iranian educational settings.

The study involved interviewing ten teachers and observing six of their sessions, which yielded qualitative data.

The results showed that the participating teachers produced recurring themes such as the significance and limitations of translanguaging, techniques for training multilingual learners and the restrictions imposed by policies that discourage the use of L1 in language institutes in Iran. A noteworthy observation made in this investigation was that educators who possessed competency in three or more languages exhibited greater endorsement of translanguaging in both their perceptions and practices.

This study has significant implications for instructors, teacher trainers and policymakers operating within multilingual environments. It serves as a pioneering study that invites a productive synergy between Western and Asian researchers in exploring bi/multilingual spaces within Asian educational contexts.

This study brings a fresh perspective to the current body of research on teacher agency in bi/multilingual educational settings. By utilizing qualitative methods, it offers unique and original insights. Particularly noteworthy is the discovery that educators who are proficient in three or more languages are more inclined to support translanguaging. This observation adds a distinctive understanding of translanguaging in language education. It opens up new possibilities for exploring the application and efficacy of the translanguaging approach in Asian bi/multilingual spaces in education.

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.

Language plays a complex role in coaching, facilitating communication, comprehension and meaning construction. Yet, the implications of coaching in a non-native language are uncertain and under-researched. This study explores the role of non-native language (NNL) in dyadic workplace coaching practice. Specifically, it explores how working in a NNL influences the coaching experience from the coach’s perspective.

A qualitative approach was chosen to explore the way coaches view coaching in a NNL. Twenty-three semi-structured interviews were conducted with coaches experienced in coaching in NNL. Reflexive thematic analysis (RTA) was applied for data analysis.

NNL coaching presents a paradoxical mix of negative and positive tensions for the coach and coachee in communication, relationship and insight. NNL coaching is nuanced and may be accommodated using coaching competencies to mitigate the potential for misunderstanding and relationship rupture. It offers alternative perspectives to existing worldviews, eliciting deeper insights. Coaches’ confidence in coaching in a NNL varies from a challenging struggle that perceptually hinders performance, through ambivalence, to a sense of greater resourcefulness.

The study contributes to the stream of literature on language in international business, sociolinguistic research and how meaning is constructed in a coaching process. First, the work develops a distinction between coaching in a native language (NL) and a NNL. Second, study results indicate that the context of NNL creates challenges as well as opportunities in a dyadic coaching process, particularly regarding aspects of the coach–coachee relationship and insight elicitation via alternative perspectives. Moreover, several practical implications of the study for the coaching practice are discussed.