Digital Discourse (An International Journal of Language, Technology, and AI-Mediated Communication) is an international, peer-reviewed, open-access journal dedicated to advancing scholarly inquiry into the evolving dynamics of human language, text, and communication across digital platforms and technological ecosystems.

Positioned at the intersection of applied linguistics, computer science, media and communication studies, digital humanities, and literary theory, Digital Discourse provides a global interdisciplinary forum for empirical, theoretical, and methodological research. The journal seeks to bridge the gap between qualitative discourse analysis, computational linguistics, corpus studies, and artificial intelligence, exploring how digital environments shape, transform, and mediate human interaction, social structures, and creative expression.

Focus and Scope

Digital Discourse welcomes original research articles, theoretical reviews, and methodological contributions that critically analyze language and text in digital contexts. The scope of the journal encompasses five primary thematic pillars:

1. Artificial Intelligence & AI-Mediated Communication (AIMC)

• Discourse analysis of human-AI interactions, prompt engineering pragmatics, and conversational agent dynamics.

• Socio-linguistic, cultural, and gender bias evaluations in Large Language Models (LLMs) and generative AI outputs.

• Pragmatic, stylistic, and structural comparisons between human-authored and AI-generated texts.

• Theoretical frameworks addressing agency, authorship, and identity in AI-mediated communication.

2. Computational & Corpus-Assisted Digital Discourse Studies

• Corpus-Assisted Discourse Studies (CADS) applied to social media platforms, online forums, digital news, and web archives.

• Computational Ecolinguistics: Corpus-assisted analysis of climate change, environmental crises, and ecological narratives in digital media.

• Critical Discourse Analysis (CDA), collocation networks, metaphor analysis, and multimodal framing in digital environments.

• Digital linguistic landscapes, online identity construction, and cyber-sociolinguistics.

3. Digital Media, Communication & Cyber-Social Dynamics

• Political discourse, digital activism, ideological framing, and public debate in new media environments.

• Analysis of crisis communication, health communication, and public relations across digital networks.

• Algorithmic culture, audience reception, and participatory discourse in platform-based communities.

4. Forensic Linguistics & Cyber-Discourse

• Forensic analysis of digital texts, including online hate speech, cyberbullying, disinformation, hoaxes, and online harassment.

• Authorship attribution, stylometry, and linguistic evidence in cybercrime investigations and digital legal disputes.

• Ethical, legal, and linguistic dimensions of digital privacy, content moderation, and platform governance.

5. Digital Literature, Cyber-Narratives & Ludology

• Electronic literature, hypertext fiction, interactive digital storytelling, and net.art narratives.

• Critical analysis of AI-generated creative prose and poetry, human-AI co-creativity, and digital aesthetics.

• Platform-based literary phenomena (e.g., social media poetry/prose, web novels, interactive serials) and digital literary sociology.

• Ludology and game narratives: Discourse analysis of video game world-building, player agency, and multimodal ludic texts.

6. Computational Language Processing for Under-Resourced & Local Languages

• Development and application of Natural Language Processing (NLP) tools (e.g., POS tagging, dependency parsing, sentiment analysis) for low-resource and indigenous languages in digital contexts.

• Digital language preservation, revitalization, and natural language processing applications for regional discourse.