Телеграм канал «RESEARCH RESULT. THEORETICAL AND APPLIED LINGUISTICS»

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.

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.

Generation and Translation for Immersive Environments (VR/AR): Creating systems for translating and adapting textual and speech components in virtual and augmented reality, considering spatial context. Machine Translation for Low-Resource and Endangered Languages: Developing methods that do not require large parallel corpora (zero-shot, few-shot learning, active learning) to preserve and support linguistic diversity. Cognitive-Ergonomic Assessment of Translation Quality: Investigating how machine translation affects user cognitive load (speed of comprehension, information retention, decision-making). Using eye-tracking and EEG. Automated Content Adaptation for Video Game Localization: Developing algorithms for translating and culturally adapting not only dialogue but also in-game content (item names, lore), considering interactivity and non-linear narrative. Pre-Translation Analysis and Post-Editing Systems: Creating intelligent assistants that automatically determine text complexity, suggest term translation options, and help professional translators work more efficiently with MT output. 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.

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