National image is one of the elements of a country’s soft power, and China’s Government Work Reports (GWRs) serve a critical function in shaping this national image, as the state constructs and communicates its political and economic narrative to both domestic and international audiences. This study addresses gaps in previous research by combining both quantitative and qualitative approaches to the analysis of China’s national image, focusing on self - representation and the other - perspective. Specifically, it examines the English editions of 25 GWRs (2001–2025) using Corpus-Assisted Discourse Studies (CADS), tracing keywords and their collocates over time and interpreting these patterns within the context of national image construction. Findings reveal a clear “global integration–domestic stabilization–global engagement” trajectory. During the global integration phase (2001–2010) terms including “World Trade Organization”, “opening up”, and “rapid growth” dominate, underscore China’s integration into the global economy. The domestic stabilization phase (2011–2015) foregrounds “structural adjustment”, narrowing “the rural–urban gap”, and “social harmony”, reflecting China’s efforts to manage internal social imbalances while maintaining stability. In the global engagement phase (2016–2025), phrases including “high-quality development”, “Belt and Road Initiative”, and “Chinese Path” signal China’s transformation from rule-taker to solution provider. Overall, China’s national image in its GWRs has transformed from a newcomer focused on speed, to that of a responsible leader setting global standards. The study offers a model case of applying CADS to the GWRs and provides a comprehensive account of how China’s national image has been constructed and repositioned in international communication.

Speech and Language Disorders (SLDs) significantly impact social interaction, communication, and educational outcomes, making them a global health priority. According to data published by Komodo Health, speech disorder diagnoses among children aged 0–12 increased by 110% in 2022, reaching 1.2 million cases compared to the pre-pandemic average of 570,000. Addressing this growing challenge requires empowering the research community with diverse and comprehensive corpora to drive investigations and develop innovative tools. This paper systematically reviews existing SLD corpora, evaluating their relevance to research and technological innovation. The corpora are categorized based on target population, language, data modality, and task domain. Thirteen SLDs are explored, including neurological language breakdown, motor speech disorders, child language impairments, and communication challenges in autism spectrum disorder. The review identifies key research directions in the field of SLD and highlights critical gaps and challenges using statistical insights drawn from the analysed search. Emerging trends such as multimodal data integration and artificial intelligence applications for advanced data analysis are emphasised. The review concludes with recommendations for enhancing the utility and accessibility of SLD corpora, underscoring the importance of interdisciplinary collaboration and community engagement to address existing limitations. This review serves as a valuable resource for clinicians and researchers, guiding them in selecting the most suitable database/corpora to address their clinical and investigative needs while advancing the field of SLD research and innovation. • The paper systematically reviews available databases for speech and language disorders. • The review identifies gaps in existing databases, including underrepresented speech and language disorders. • It categorizes databases by disorder type, data modality, and intended research use. • The study emphasizes the need for interdisciplinary collaboration in research. • The paper provides a roadmap for improving data collection and future research initiatives.

This paper introduces CorGeS , a historic corpus of authentic German suicide notes written between the 1910s and 1930s. Originally compiled and transcribed by a police officer, the corpus offers a rare and valuable resource for both linguistic and historical inquiry. We describe the provenance and structure of the corpus, as well as the methodological and ethical considerations involved in working with such sensitive material. While suicide note analysis is well established in English-language research, German-language material remains understudied, making CorGeS an important contribution to multilingual and cross-cultural perspectives in suicide note analysis. To illustrate the potential of the corpus, we present a preliminary topic modelling analysis, highlighting key thematic patterns in the texts, before using corpus methods to explore the most prevalent item in the corpus in more detail. These early results demonstrate the diversity and emotional complexity of the notes and suggest several avenues for further research at the intersection of linguistics, history, and suicide note analysis.

• Advocates a broad definition of webcare moving beyond responses to consumer posts • Provides new insights into webcare practice based on corporate posts and responses • Showcases the importance of industry-specific differences in webcare practice • Uncovers the webcare goals of three industries through corpus linguistic analyses • Illustrates the impact of duplicate webcare tweets on keyword analyses Businesses regularly engage in digital business communication by addressing stakeholders and responding to their feedback online. While previous research has explored these interactions from diverse perspectives, industry-specific differences have not been studied extensively to date. This article addresses this gap in research by studying the digital interactions of US companies from three different industries (airlines, food and beverage, streaming services) to uncover their approach to communicating with stakeholders online, also known as webcare. The study is based on the US Corporate Twitter Corpus, which includes 4.4m English tweets posted by and addressed to US companies, such as American Airlines, Burger King and HBO, between September 2021 and February 2023. By carrying out a keyword analysis, it investigates differences in the digital communication of the industries studied and links them to the organizational goals of webcare, including customer care, marketing, and reputation and relationship management. The findings of the corpus linguistic analysis show that the three industries engage in webcare to different ends. While airlines have a clear focus on customer care, streaming services and food and beverage use webcare primarily for marketing and relationship management purposes, highlighting the role of user engagement in online interactions. These findings underline the importance of taking the industry into account when engaging in webcare research and interpreting its results, which may not be generalizable across industries. At the same time, they give insight into industry-specific practice by revealing differences in the organizational strategy and goal pursued when interacting with stakeholders online.

This study examines how an inductive learning approach can foster e-literacy, defined as the ability to critically and effectively use digital and AI tools to support literacy. It presents the outcomes of a teacher training program carried out in Romania within a national professional development initiative, involving 56 in-service teachers across primary, lower secondary, and upper secondary levels. The training combined theoretical input with hands-on activities, introducing participants to corpus-based readability analysis and AI platforms for text adaptation. Teachers worked with tools such as LEMI, Text Inspector, ARTE, ChatGPT, and Perplexity. The corpus-based linguistic analysis indicates that teachers most often addressed challenges of vocabulary complexity and cognitive load. Participants used readability and AI tools to simplify syntactic structures, reformulate dense passages, and adapt discourse to students’ linguistic proficiency levels. Reflections further indicated that teachers came to view literacy-related digital and AI platforms in complementary roles: as simplifiers that made texts more accessible, as co-designers that supported creativity in instructional planning, and as validators that confirmed their professional judgment. The training strengthened the teachers’ digital pedagogical awareness and metalinguistic insight, positioning e-literacy as a key competence within an updated literacy paradigm capable of supporting inclusive, level-appropriate education.