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Language plays a central role in shaping social identities and reflecting cultural change. Among the most visible developments in contemporary English is the growing use of gender-inclusive language across news media. As newspapers continue to influence public opinion and linguistic norms, they provide an important site for examining how gender is represented through lexical and stylistic choices. This study investigates the use of gendered and gender-inclusive language in three English-language newspaper articles published by The Guardian, The Washington Post, and the Financial Times. Adopting a corpus-assisted sociolinguistic approach, the research combines quantitative lexical observations with qualitative discourse analysis to examine gender-related vocabulary, occupational terms, pronouns, evaluative language, collocations, and stylistic features. The analysis demonstrates that the selected newspapers increasingly employ gender-inclusive forms, particularly through the use of gender-neutral occupational titles and the singular they. Nevertheless, gender-marked expressions remain common when gender is directly relevant to the topic being discussed. The findings further indicate that lexical choices extend beyond individual words; collocations, evaluative adjectives, and rhetorical structures contribute to constructing particular representations of gender in professional and public discourse. While each newspaper adopts a distinct editorial style, all three reflect the ongoing linguistic transition from traditional gender-marked expressions toward more inclusive language practices. By integrating corpus linguistics with sociolinguistic analysis, this study contributes to a broader understanding of how contemporary English news media both mirror and shape changing attitudes toward gender representation. Although the corpus is intentionally limited, the findings provide a useful foundation for larger comparative studies examining linguistic change across international news media.
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Suleymanov et al. (2026) studied this question.
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