RESEARCH RESULT. THEORETICAL AND APPLIED LINGUISTICS

📍Dear colleagues and friends! By popular request on March,30 we are launching our innovative professional development course on AI instruments in education, research and academic communication. Who will benefit from the program? Researchers of all levels, both young and senior, educators, especially those who work with courses/programs in English, all those who are interested in AI advancements. Definitely recommend 👍 Reposts are very welcomed🤝 🖌️Details and registration here: https://dpobsu.ru/povysheniekvalifikatsii/pedagogika/II_v_obr_i_nauke/

🏛️ Integrity as Infrastructure – China's New Stance on Research Accountability Greetings, dear colleagues and friends. Today, we turn our gaze from the craft of writing to the foundation upon which all scholarly work must stand: research integrity. A significant development reported in Nature (February 2026) signals a new era of institutional accountability. China's Ministry of Science and Technology (MOST) has announced it will now punish universities that fail to properly investigate or sanction research misconduct. This moves beyond targeting individual authors to holding their home institutions responsible. 🔍 What Is Changing? The policy directs institutions to rigorously investigate papers retracted from international journals due to misconduct. The findings will be publicized to enhance deterrence. Crucially, universities face "serious penalties" if they are found to conceal or tolerate wrongdoing by their researchers. This follows the 2024 nationwide audit of retracted papers and the establishment of a national database of serious misconduct cases. This database is now used by authorities when considering scientists for funding, major projects, talent programmes, and even academic elections. 💡 Why This Matters for Every Researcher As Li Tang, a science-policy researcher at Fudan University, notes, holding institutions accountable is an effective way to curb misconduct, as integrity is best managed at the institutional level¹. The takeaway for our academic community? Transparency and rigorous self-correction are not bureaucratic hurdles. They are the very practices that ensure our collective work remains trustworthy and impactful. Let this be a reminder that integrity is not just an individual duty, but a shared institutional responsibility. We champion rigorous research and clear communication. Details at: https://www.nature.com/articles/d41586-026-00321-5

The Art of Academic Storytelling – “What is your Research Story of?” 👋 Greetings, dear friends, colleagues and contributors! ✍️ Before we begin, let’s address an often-unspoken reality: a significant number of manuscripts are desk-rejected by editors or criticized by reviewers not due to a lack of scholarly merit, but because they are perceived as impenetrable, dull, or narratively disjointed. The greatest insight can be lost if its presentation fails to engage. In a competitive publishing landscape, readability is not a luxury - it is a requirement for scholarly communication and impact. As most of us are scholars in linguistics, we understand the power of narrative - it is the bedrock of human communication. Yet, in our own research writing, we sometimes obscure our findings within dense, impersonal structures. Today, let’s reframe: Your article is not just a report; it is a story. What story does it tell? 📖 What Story Can My Research Tell? Every compelling study has a narrative arc. It begins with a context (the established linguistic landscape), introduces a tension or gap (what is unknown or misunderstood), follows a journey of inquiry (your methodology and analysis), and arrives at a resolution (your findings and their implications). Ask yourself: Is my story about unmasking a hidden pattern in dialectal shift? Challenging a long-held assumption about syntactic processing? Bridging a theoretical divide with new empirical data? 🎯 What Am I Trying to Communicate? Clarity of purpose is paramount. Beyond “presenting data,” define your core message. Are you advocating for a revised model? Providing a meticulous empirical validation? Introducing a novel methodological approach? Your central thesis should be the guiding thread, evident from the abstract to the conclusion. Make it the heartbeat of your narrative. 💡 Which Insights Make My Research Worth Engaging With? This is the climax of your story - your unique contribution. Highlight the “aha!” moments. Is it an unexpected correlation in your corpus analysis? A theoretical synthesis that explains previously anomalous data? A practical application for method or NLP? These insights are the value you offer the academic community. They answer the “so what?” that every critical reader asks. 🔧 Practical Tips for a More Readable, Structured Narrative: ✔️ The Reverse Outline: After drafting, distill each paragraph into a single sentence. Read them in sequence. Does the logical flow unfold like a story? If not, rearrange. ✔️ Signposting with Metadiscourse: Use phrases like “To explore this gap…”, “Contrary to the expectation…”, “A key implication is…” to guide your reader through your argumentative journey. ✔️ Vary the Sentence Cadence: Balance complex theoretical statements with clear, concise summary sentences. Rhythm aids comprehension. ✔️ Abstract as Blurb: Write your abstract as the compelling synopsis of your academic story. It should encapsulate the stakes, the journey, and the resolution. 💁 Remember: A well-told story does not diminish rigor; it amplifies impact. It ensures your hard-won insights are understood, remembered, and built upon.

Dear colleagues and friends! 📈 We are proud to announce and endorse a specialized professional development course: "Leading-Edge Research Tools for Authors of Scientific Publications."   This intensive program, running from January 26 to January 31, 2026, is designed to equip scientists, instructors, postgraduate students, and all research-active individuals with the cutting-edge digital competencies essential for contemporary academic work. 💡   ✨ Why This Course is Essential for Our Authors: In an era of digital scholarship, mastering the modern research toolkit is no longer optional—it is fundamental to producing high-impact, discoverable, and ethically sound research. 🎯 This course directly addresses the core challenges faced by authors today.   The curriculum, meticulously developed by our Editor-in-Chief and leading experts, covers critical, practical topics: 📚   🤖 AI Tools for Authors: Leveraging artificial intelligence to enhance research writing and workflow.   📊 Data Visualization & Bibliometrics: Practical workshops on using VOSviewer and Biblioshiny to analyze research landscapes and visualize your findings.   🗂️ Research Organization: Managing references and building personal digital libraries with modern citation tools.   🚀 Advanced Research Methods: Exploring platforms like Chatbot Arena/LLM Arena for literature discovery and reviewing innovative analysis tools.   ⚖️ Academic Integrity: A crucial module on identifying and avoiding "paper mills" and academic fraud.   The training methodology combines interactive lectures, hands-on workshops, masterclasses, and training sessions to ensure practical, applicable skills.   🎤 This is a unique opportunity to gain insights directly from the helm of a Scopus-indexed journal and a leading research scientist.   📝 Take the Next Step in Your Academic Career: 📅 Dates: January 26 – 31, 2026 ⏳ Volume: 36 hours 💻 Mode: Online   💬 For registration and inquiries, please visit: https://dpobsu.ru/povysheniekvalifikatsii/pedagogika/sovremennyyissledovatelskiyinstrumentariyavtoranauchnykhpublikatsiy/   🙌 Equip yourself with the tools of a modern researcher. We look forward to seeing you in the course!

Dear colleagues and friends! 🎯 Scimago Update: Smarter Journal Discovery The Scimago Journal & Country Rank portal has enhanced its search functionality with new, practical filters to help you find journals more efficiently. You can now refine your search by: 🤩 Quartile: Quickly locate Q1 or Q2 journals within your specific field. 🤩 Country: Identify leading journals published in a particular nation. 🤩 Subject Area: Narrow down options within precise scientific categories. P.S. The platform also allows filtering for Open Access journals with options to export your results. Why this matters: These tools make it easier to conduct a preliminary, data-driven assessment of potential publication venues, moving beyond a simple glance at the ranking. 🔗 Useful Links: Explore the new Scimago filters: Scimago Journal & Country Rank For details in Russian, follow: Academic Watch

🧬 2025 Year in Review: Channel Highlights & Journal Issue No. 4 Dear colleagues and friends, 2025 has been a dynamic year for our academic community. We've explored new tools, discussed groundbreaking research, and engaged with the evolving landscape of linguistics. Let's revisit the key highlights from our channel and introduce the latest issue of our journal. 🔥 Top 5 Highlights from the RR_Linguistics Channel in 2025 🤖 AI as a Research Partner We delved into practical guides for integrating AI (like the Perplexity handbook) and Kaggle micro-courses for linguists. The key takeaway: AI is not a replacement for the scholar, but a powerful tool for automating routine tasks and analyzing data, freeing you to focus on deep, conceptual work. 🛠️ The Digital Linguist's Toolkit We spotlighted essential tools for modern analysis: BibExcel for bibliometrics and citation network analysis. Scopus AI for intelligent literature discovery and mapping. The future of quality assurance was debated in our coverage of Peer Review Week 2025. 👶 Groundbreaking Research A major focus was the landmark PNASstudy revealing how infants use vowel information to categorize objects and build their first lexicon. This work challenges fundamental assumptions about early language acquisition. 📈 Skills for Modern Science A recurring theme was digital and meta-scientific literacy. We emphasized the growing need for skills in data processing, visualization, and the critical evaluation of scientific literature in the digital age. 📖 Presenting "Linguistics" Journal, Issue No. 4, 2025 Alongside our channel activity, our peer-reviewed journal has continued its regular publication. The fresh fourth issue of 2025 features articles that resonate with many of the topics we've discussed: Theoretical Linguistics & Grammar: In-depth analysis of language systems and structures. Cognitive & Experimental Research: Work at the intersection of linguistics and psychology. Socio- & Pragmalinguistics: Study of language in its social context. Digital Methods & Corpus Linguistics: Application of new computational tools for language data analysis. This issue reflects the broad spectrum of contemporary scholarly inquiry in the science of language. 🔗 Dive Deeper: The fourth journal issue for 2025: https://rrlinguistics.ru/media/linguistics/2025/4/%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0_114_vIORCC0.pdf Thank you for being part of our community this year. We look forward to continuing these open discussions with you on the pages of Research Result.Theoretical and Applied Linguistics in 2026.

🔧 Tool Spotlight: BibExcel for Bibliometric Analysis Wondering how to dive into the formal analysis of academic literature, citation networks, or author collaborations? The classic, free tool BibExcel is a powerful option designed specifically for this task. What is BibExcel? Created by Olle Persson, BibExcel is a toolbox that helps you analyze bibliographic data (like records from Web of Science) or any similarly formatted text data. Its core function is to process raw data and prepare it for import into Excel or other tabular programs for further analysis and visualization. What Can Linguists Do With It? While used across sciences, it's highly relevant for meta-research in linguistics. You can use it for: 📊 Citation Analysis & Bibliometrics: Study the impact and connections within a body of linguistic literature. 👥 Co-authorship & Collaboration Analysis: Map networks of researchers in sub-fields. 🔗 Co-citation Analysis & Bibliographic Coupling: Identify related papers, seminal works, and research fronts. 🗺️ Preparing Data for Mapping: Generate files for network visualization tools like Pajek. Key Practical Details Cost & Use: It's freeware for academic, non-profit use. Format: It primarily works with ISI/Web of Science records but can convert some other formats. Process: It's not a single-click tool. You use different modules to clean, count, and structure data before final analysis in a spreadsheet or visualization software. Getting Started & Learning Download: The latest version and help files are available from the official page. Learn: The page provides sample data and 16 step-by-step exercises (using co-citation studies) which are the best way to learn. Explore: Check the linked "Festschrift" chapter and audiovisual courses for deeper understanding. If you use it in your research, you have to cite the recommended paper by Persson et al. 🔗 Resources: Download & Exercises: BibExcel Homepage Recommended Citation: Persson, O., Danell, R., & Wiborg Schneider, J. (2009). How to use Bibexcel for various types of bibliometric analysis.

7. Linguistics of Crisis Communication: Discourse Analysis of Emergencies. Comparative analysis of official statements, media, and social media during crises (pandemics, natural disasters). Identifying effective and destructive language patterns to create crisis communication protocols. 8. Ecolinguistics: Discourse of Sustainable Development in Corporate Reports and Media. Critical analysis of language used by large corporations ("greenwashing") and media when covering ecology and sustainable development. Developing linguistic criteria for assessing the credibility of "green" claims. We invite submissions from scholars worldwide! Journal Website: http://rrlinguistics.ru Submit your manuscript and contribute to cutting-edge linguistic research.

RESEARCH RESULT. THEORETICAL AND APPLIED LINGUISTICS pinned «Dear colleagues and friends! We receive hundreds of submissions every week, and we really regret to reject high quality papers which are not within the journal’s scope. We have decided to highlight the topics the journal is currently interested in. Research…»

Dear colleagues and friends! We receive hundreds of submissions every week, and we really regret to reject high quality papers which are not within the journal’s scope. We have decided to highlight the topics the journal is currently interested in. Research Result. Theoretical and Applied Linguistics: Scope of the Journal What topics can you publish on? Our journal welcomes high-quality research at the intersection of linguistics and modern technological and social challenges. Below is a representative, though not exhaustive, list of our current key thematic priorities. 1. Corpus Linguistics (outside the context of foreign language teaching). 2. Applied Aspects of Academic Writing. 3. Linguistic Behavior in Machine-Generated Environments. 4. Linguistic Aspects of AI Research (Large Language Models - LLMs) Psycholinguistic Testing of LLMs: Adapting methodologies from psycholinguistics (e.g., reaction time measurement) to assess the linguistic competence of AI. For instance, testing a model's sensitivity to grammatical anomalies or semantic mismatches. Optimization and Ethics of LLMs for Low-Resource Languages: Analyzing and mitigating biases in LLMs (e.g., GPT, Llama) when working with Russian, Tatar, Bashkir, other languages of Russia, and world languages. Developing methods for efficient and energy-frugal fine-tuning on limited text corpora. Linguistic Support for AI in Robotics: Investigating how linguistic principles (speech acts, implicatures, discourse management) can enhance human-robot interaction. For example, how a robot should verbally respond to non-standard commands or its own errors. 5. Methodology: Mathematical, Statistical, and Computational Methods for Analyzing Linguistic and Social Phenomena. Cross-Lingual Disinformation and Propaganda Detection: Creating systems that analyze not just translation, but also linguistic markers of manipulation (logical fallacies, emotional loading, framing) during the cross-lingual spread of fake news. Linguistic Expertise of Disinformation in Digital Media: Developing a comprehensive model for identifying manipulative language strategies (framing, use of metaphors, narrative constructions) in news texts and social media. Creating an annotated corpus for algorithm training. Linguistically-Motivated Data Augmentation for Model Training: Using knowledge of word formation, synonymy, and syntactic transformations to generate high-quality additional training data, beyond simple random word replacement. Linguistic Markers of Mental Health in User-Generated Texts: Analyzing written texts (social media posts, diaries) using NLP to identify linguistic patterns correlating with depression, anxiety, burnout. Aim: creating tools for early screening. Linguistic Design of User Interfaces (UX Writing) and Chatbots for Critical Services: Researching how wording, tone, and text structure in interfaces for government services, banking, or healthcare affect accessibility, trust, and user efficiency. Discourse Analysis of Healthcare Communication in the Digital Age: Studying communicative failures in online consultations (telemedicine). Developing recommendations and scripts for doctors to improve patient adherence and satisfaction. 6. Machine Translation vs. Human Translation Interpretability and Explainability (XAI) of Neural Translation "Black Boxes": Developing methods to "look inside" transformers and LLMs to understand how they represent linguistic knowledge (syntax, semantics, discourse). Controlling Style and Register in Machine Translation via Linguistic Prompts: Researching how subtle linguistic descriptors in prompts ("translate in a scientific register," "make the text more formal using passive voices") affect translation quality and adequacy. Multimodal Machine Translation for Social Media: Developing translation models that account for visual context (images, memes, infographics) to resolve lexical ambiguity and convey cultural references.

Dear colleagues and friends! We are happy to introduce our new course: "Education 5.0: AI as a Teacher's Resource" Are you ready to move from simply using technology to truly integrating it? The educational landscape is evolving at an unprecedented pace, and Artificial Intelligence (AI) is at the forefront of this transformation. It's not about replacing teachers; it's about empowering them. This comprehensive program is designed specifically for educators, lecturers, and instructional designers who want to harness the power of AI to enhance their teaching, save time, and create a more dynamic learning environment. In this course, you will move from theory to practice, exploring critical topics. All the details are in Enclosure and if you follow the link https://dpobsu.ru/povysheniekvalifikatsii/pedagogika/ii_pedagogicheskiy_resurs/ PS: the course is in Russian

🧠 Want to Add Data Science to Your Linguistic Toolkit? As linguistics becomes increasingly data-driven, skills in Python, data analysis, and machine learning are more valuable than ever. A fantastic (and free!) resource to get started is Kaggle Learn. What is it? Kaggle Learn offers bite-sized, hands-on courses in data science and programming. You can learn by doing, right in your browser. Why is this relevant for linguists? These skills can directly empower your research in areas like: 📊 Corpus Linguistics & NLP: Analyze large text datasets with Python (Pandas). 🤖 Computational Linguistics: Build models for text classification, sentiment analysis, and more with Machine Learning. 📈 Data Visualization: Create clear, powerful graphs and charts to present your findings (Seaborn, Matplotlib). 🔤 Phonetics & Acoustic Analysis:Process and analyze audio data. Perfect for beginners, the courses guide you from "Hello World" to building your first models. It's a practical way to bridge the gap between theoretical linguistics and modern computational methods. 💡 Start learning today: Kaggle Micro-Courses

🤖 AI in Academic Work and not Only: A Useful Resource Perplexity has released an extensive 40-page guide on integrating AI into workflows. While written for a broad audience, its core principles are perfectly suited for the tasks of researchers and educators. Why is this useful for academics? The guide is packed with practical advice and prompts that can be adapted for: Automating routine tasks: Helping draft administrative emails, course plans, and abstract summaries. Text and data analysis: Aiding in the initial processing of corpora, generating ideas for papers, and structuring thoughts. Scientific communication: Assisting in simplifying complex explanations or creating presentation content. Key Takeaways: Specificity & Context: Give your AI assistant clear goals and extensive background information for accurate results. Removing Yourself from the Loop: Delegate repetitive tasks to AI to free up your focus for deep analysis and hypothesis generation. Tool Synergy: Leverage the strengths of different AI assistants for a more powerful, combined approach. This guide is a great starting point for learning to use AI in a conscious and effective way. 📖 Read the guide here: pplx-at-work.pdf

⚡️Dear colleagues and friends! 📚 New Issue 11(3) 2025 of Research Result. Theoretical and Applied Linguistics is out! 🌐 This issue possesses a distinctly international character and brings together cutting-edge research from scholars across the globe, covering a wide range of topics in both theoretical and applied linguistics—from discourse analysis and cognitive linguistics to language acquisition, sociolinguistics, and computational approaches to language. 🔎All contributions as usual have undergone rigorous double-blind peer review, ensuring high academic standards and originality. 📖Read the full issue here: https://rrlinguistics.ru/media/linguistics/2025/3/%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0_11_3.pdf 🙏We extend our deepest gratitude to authors, reviewers, editorial team, administrative, production and technical support colleagues. Once again the issue is a collective achievement, reflecting the collaborative spirit of the global linguistics community. Thank you all for your invaluable contributions! 🤝We invite researchers, educators, and students to engage with these new findings and share them within your academic communities!

Dear Colleagues and friends, In our continuous effort to support robust and transparent science, we want to highlight a powerful platform that aligns with these values: OpenReview.net. More than just a tool, OpenReview represents a growing movement towards open scholarship, and we believe our authors can significantly benefit from its approach. 🔍What is OpenReview? OpenReview is an open-source platform for scholarly communication, best known for pioneering open peer review. Its core principle is to move away from the traditional anonymous, closed review process to a model that promotes accountability, collaboration, and constructive dialogue. The key features that define OpenReview are: ☑️Open Identities: Typically, both authors and reviewers are aware of each other's identities. ☑️Open Reports: Submitted reviews are often made public alongside the final published work. ☑️Open Interaction: A forum-like environment allows for direct, documented dialogue between authors, reviewers, and the public. ☑️Preprint Integration: The platform is deeply integrated with preprint posting, facilitating early feedback. What is its Purpose? The primary purpose of OpenReview is to improve the quality, fairness, and efficiency of peer review by introducing transparency. It aims to: ☑️Increase Accountability: Signed reviews encourage civility and thoroughness. ☑️Recognize Contribution: Reviewers receive public credit for their work. ☑️Accelerate Learning: The community learns from the review process itself, seeing how experts critique and improve manuscripts. ☑️Reduce Bias: Transparency can help mitigate hidden biases in the review process. How Can Our Authors Benefit? ☑️Even if our journal currently uses a traditional review model, engaging with OpenReview can be an invaluable step before you submit your manuscript to us. ☑️Get Pre-Submission Feedback: Many conferences and communities host "open commenting" periods on OpenReview. You can upload a preprint and receive constructive feedback from a global pool of researchers before formal submission. This can help you identify weaknesses, strengthen your arguments, and improve clarity. ☑️Demonstrate Rigor: By participating in an open review process, you showcase your commitment to transparency and your confidence in your work. This can be a mark of a rigorous research process. ☑️Learn from Public Reviews: Reading the open reviews of other papers in your field is an exceptional way to improve your own writing and critical analysis skills. You see firsthand what reviewers look for and how they frame their critiques. ☑️Establish Priority: Posting a preprint on OpenReview timestamps your work, establishing the precedence of your ideas while the formal publication process is underway. A Note on Journal Policy: ℹ️We are closely monitoring the evolution of open peer review models. While we champion transparency, we also respect the need for reviewer anonymity in certain contexts. We view platforms like OpenReview as complementary to the traditional journal system, providing authors with additional tools to enhance their work. We encourage you to explore OpenReview.net and consider how it might fit into your research workflow. Engaging with these innovative platforms makes you an active participant in shaping the future of scholarly communication. Learn more: https://openreview.net/

Dear colleagues and friends, Let us reflect on the 10th International Congress on Peer Review and Scientific Publication which took place September 3-5, 2025, in Chicago. Key Themes to Watch: Based on the program, here are the pivotal areas we urge you to follow closely: ↘️AI's Double-Edged Sword: A major focus will be the responsible and irresponsible use of Artificial Intelligence in research and review. Sessions will tackle disclosure, detection, and the ethical boundaries of AI-assisted manuscript preparation. ↘️Equity, Diversity, and Inclusion: The congress continues its vital work on bias, representation, and global equity in the publication pipeline. Expect data-driven insights into improving fairness from submission to citation. ↘️Innovating the Review Model: From preprints and open peer review to portable reviews and incentivizing participation—the program is packed with analyses of what’s working, what’s not, and what’s next. ↘️Trust and Integrity: Sessions on research misconduct, paper mills, image manipulation, and predatory publishing are central to the mission. This is where the community rallies to defend scholarly rigor. ↘️The "Future of the Journal": Beyond the article, what is a journal's role? Topics will explore the value of editorial selection, post-publication review, and new metrics for impact. Why This Matters for Our Journal: The findings and debates from this Congress directly inform our policies, training, and vision. It is where we, as an editorial board, engage with the global community to uphold the highest standards and embrace meaningful innovation. We encourage our eviewers, and interested authors to review the full program. This is more than a conference; it's a strategic imperative for anyone committed to advancing science. Explore the full program (Abstracts of the reports are available): https://peerreviewcongress.org/peer-review-congress-2025-program/

📍Dear colleagues and friends! By popular request on September,29 we are launching our innovative professional development course on AI instruments in education, research and academic communication. Who will benefit from the program? Researchers of all levels, both young and senior, educators, especially those who work with courses/programs in English, all those who are interested in AI advancements. Definitely recommend 👍 Reposts are very welcomed🤝 🖌️Details and registration here: https://dpobsu.ru/povysheniekvalifikatsii/pedagogika/II_v_obr_i_nauke/

Dear colleagues and friends! ℹ️🚨 The White House has just published *America’s AI Action Plan* (July 2025), a comprehensive federal strategy to guide the development, deployment, and governance of artificial intelligence across sectors. While the document spans national security, workforce development, and innovation, it carries profound implications for our field—Applied Linguistics. 🔍 Why should linguists care? - Language technologies (LLMs, speech recognition, machine translation) are central to the Plan’s vision for “responsible AI.” - The document emphasizes inclusive design, calling for systems that serve all language communities—including marginalized, Indigenous, and heritage speakers. - It highlights the need for multilingual datasets that reflect linguistic diversity and avoid algorithmic bias. - There’s a strong focus on AI literacy, urging education systems to equip learners with critical skills to navigate AI-mediated communication. 💡 Opportunities for Applied Linguists (included but not limited to): This policy opens avenues for interdisciplinary collaboration in: - Ethical NLP and bias mitigation - Language policy in the age of AI - Human–AI interaction and communication - Preservation and revitalization of under-resourced languages through AI tools 📄 Read the full plan: https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf

🔔 Save the Date: Peer Review Week 2025 (#PRW2025) This year dates: 15-19 September 2025 Peer review is the cornerstone of credible research in all scientific disciplines. It's the process through which we, as a community: • Ensure Rigor: Scrutinize methodological approaches and theoretical frameworks. • Uphold Integrity: Safeguard against plagiarism and uphold ethical standards. • Foster Growth: Provide constructive, critical feedback that strengthens arguments and refines ideas. The annual theme provides a focused lens to examine and improve this critical system. Past themes have included "Trust," "Identity," and "Future," prompting vital conversations about the evolution of scholarly communication. What's UP? The 2025 theme is Rethinking Peer Review in the AI Era. This is a chance for our linguistics community to prepare, engage, and lead discussions relevant to our unique disciplinary challenges and opportunities. 🌐 Bookmark the official site for updates: https://peerreviewweek.net/

Dear colleagues and friends! I am practically back from summer holidays! One of these days I will dig into the mail and try to answer all your letters and submissions! I will also treat you to a useful post and remind you that 2025 is the year of reviews! 💪