Peer Review Process

Double-Anonymous Peer Review

Manuscripts submitted for publication in IJADLSN undergo rigorous evaluation by both editorial staff and independent external experts. Each submission is initially screened by the editorial team to assess scope alignment, originality, basic academic rigor, and adherence to submission requirements.

Submissions passing initial screening are assigned to qualified reviewers with specialized expertise in literary studies, linguistics, artificial intelligence, computational literature, cultural studies, and interdisciplinary methodologies.

Goals of Peer Review

The core objectives guiding the peer-review process are to:

• Promote and safeguard international academic and scholarly standards.
• Uphold research ethics, publication integrity, and scientific accountability.
• Critically analyze original, innovative, and interdisciplinary research.
• Provide rigorous, impartial, and expert evaluation of prospective manuscripts.
• Enhance the clarity, narrative structure, analytical depth, and academic quality of submissions.
• Critically evaluate the validity, appropriateness, and ethical deployment of AI and computational methods.
• Deliver constructive, evidence-based feedback and actionable guidance to authors.
• Support balanced, well-documented, and objective editorial decision-making.
• Catalyze high-impact research at the intersection of literary scholarship and computational innovation.

Evaluation Criteria

Reviewers assess submissions against the following comprehensive criteria:

• Originality & Novelty: Originality of thought, creative contribution, and advance over existing scholarship.
• Scope Alignment: Direct relevance to IJADLSN's aims, scope, and interdisciplinary mission.
• Context & Literature: Thoroughness, currency, and accuracy of background literature and theoretical framing.
• Research Objectives: Clearly articulated research questions, hypotheses, or conceptual goals.
• Methodological Soundness: Appropriateness and rigor of critical theory, empirical design, or computational frameworks.
• Precision & Dependability: Accuracy of textual close-reading, statistical analysis, model inference, and research findings.
• AI & Computational Rigor: Sound selection, validation, and documentation of AI architectures, datasets, and software libraries (where applicable).
• Scholarly Validity: Legitimacy, coherence, and persuasiveness of literary interpretations and conclusions.
• Presentation Quality: Quality of data visualization, table layout, academic prose, and logical flow.
• Academic Contribution: Value added to literary theory, linguistic analysis, digital humanities, or computational modeling.
• Clarity & Style: Grammatical precision, readability, clarity of expression, and professional academic register.
• Ethics & Integrity: Adherence to ethical guidelines, consent protocols, and academic publication standards.
• AI Disclosure: Transparent and accountable disclosure of AI-generated or AI-assisted content where pertinent.
• Attribution & Citations: Accurate citation and attribution of primary literary works, datasets, codebases, and repositories.
• Critical Awareness: Thoughtful examination of model biases, algorithmic limitations, and ethical dimensions in AI-assisted inquiry.

Editorial Decisions & Author Revisions

Following reviewer assessments and editorial synthesis, the handling editor renders one of the following official decisions:

IJADLSN Core Commitment: The journal strictly adheres to complete confidentiality, editorial autonomy, scholarly independence, and transparent peer review throughout every stage of publication.