JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Anglophone Narratives in Artificial Intelligence: Mapping Research on Cultural Bias and Ethical Concerns in Data-Driven Communication

This study presents a bibliometric analysis of English-language, Scopus-indexed scholarship on cultural bias and ethical concerns in artificial intelligence (AI)-driven communication, covering 1,919 documents published between 2015 and 2025. Using co-citation and co-word analyses conducted in VOSviewer, the study maps the intellectual structure and thematic development of this interdisciplinary field. The findings indicate exponential growth in scholarly output, particularly from 2023 onward, coinciding with the widespread adoption of generative AI tools and large language models. Co-citation analysis identified five thematic clusters: fairness toolkits and justice frameworks; algorithmic bias and word embeddings; explainable AI and algorithmic accountability; critical studies of race and inequality; and philosophical and filtering-based sources of bias. Co-word analysis reveals that while terms such as "artificial intelligence”, “algorithmic bias”, and “machine learning” dominate the literature, the cultural dimensions of bias are frequently addressed in isolation from technical and ethical frameworks, suggesting a fragmented research landscape in which technical optimisation tends to receive more attention than deeper socio-cultural analysis. This study is limited to English-language publications indexed in Scopus and does not include grey literature, non-English scholarship, or other databases; findings should therefore be interpreted as reflecting English-language, Scopus-indexed research rather than the full body of global scholarship on the topic. The study contributes a structured, data-driven map of a rapidly expanding field and identifies gaps that future interdisciplinary research may address, including the need for integrated frameworks that bridge technical, cultural, and ethical dimensions of AI in communication.

JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Linguistic Analysis of Media Discourse and Its Role in the Study of the Language of Contemporary Mass Media

This study explores the role of media linguistics in shaping the linguistic norms of contemporary mass media in Kazakhstan, an area that remains insufficiently examined in relation to bilingual media practices, genre variation, and digital communication platforms. It focuses on the influence of global communication trends, digital technologies, and national language policy on linguistic change. The research examines the introduction of English-language borrowings, their adaptation in Kazakh and Russian, and the modification of traditional linguistic structures. These shifts are driven by the widespread use of English-language platforms such as social media (Facebook, Instagram, Telegram), streaming services, and international content formats. The findings show that English loanwords are most common in advertising and news, where there is a need for rapid adaptation to global trends. In contrast, analytical and official publications adhere to traditional linguistic norms, highlighting a balance between formal and informal communication. The study also emphasizes the importance of Kazakhstan’s national language policy in preserving linguistic identity, with measures regulating foreign words in the media to develop sustainable language standards. Digital technologies also shape informal media discourse through memes, hashtags, and hybrid language forms. These changes are particularly evident among younger audiences, who adapt more quickly to language innovations, while older generations tend to be more critical of these shifts. In conclusion, media linguistics proves to be an effective tool for analyzing the intersection of globalization, national identity, and digital transformation, offering valuable insights into the adaptation of linguistic norms amid rapid technological development.

JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Public responses to teacherless classrooms are shaped by specific ideologies of humanity, morality, labour, and educational authority, demonstrating how public responses to teacherless classrooms are shaped by specific ideologies of humanity, morality, labour, and educational authority.

Language Attitudes, Cultural Identity, and Minority-Language Maintenance in Multilingual Contexts: A Systematic Thematic Review

Language attitudes and cultural identity are often discussed together in research on multilingual communities, but the relationship between them is not always explained clearly. Many studies focus on one part of the issue, such as language maintenance, identity, policy, or digital communication, while fewer bring these dimensions together in a more connected way. This review was carried out to examine how recent research has approached that relationship. It covers studies published between 2018 and 2025 and retrieved from Scopus, Google Scholar, and Web of Science by following PRISMA procedures. Fifteen peer-reviewed studies were included in the final sample. Across the studies, three issues appeared repeatedly: intergenerational language transmission, language policy, and the growing role of digital media. The evidence suggests that language attitudes matter in ways that are not always easy to see. Sometimes their effects appear in obvious forms, such as language choice or institutional support. Sometimes they work more quietly through prestige, social pressure, and speakers' own evaluations of language. Read in this way, language attitudes are better understood as part of the wider social and cultural conditions of multilingual life rather than as a separate individual factor. The review also shows that positive attitudes alone do not guarantee language maintenance. Their effects depend on whether they are supported by family practice, community use, and institutional space. Overall, the studies point to a need for research that follows change over time, compares contexts carefully, and pays closer attention to how language, identity, and inequality interact in multilingual communities.

Language and Persuasion Research: A Computational Literature Review Spanning Five Decades of Scholarship (1974–2025)

In this paper, we examined five decades of language and persuasion research from an expert‐curated list of seminal works in the field. We evaluated the most dominant themes in this literature ( N  = 1886 papers), searching for time‐related (e.g., themes that go in and out of style), impact‐related (e.g., themes that associate with citation rates), and authorship‐related trends (e.g., interdisciplinarity). The most prevalent themes were framing (64.5% of papers), content analysis (51.9%), and social media (50.1%) in language and persuasion research. Our computational literature review identified three additional findings: (1) the field has maintained relatively stable theoretical coherence, (2) papers that focus more on content analysis research receive fewer citations, and (3) the application of certain theoretical principles (e.g., argument quality) has declined over time, with researchers potentially citing underlying theories ritualistically versus meaningfully. Implications for language and persuasion research are discussed.