• Case Studies: Detailed investigations into specific applications of generative AI in social and cultural contexts, such as the arts, literature, or media, revealing new dynamics in content creation and consumption. • Critical Analyses: Reflections on the ethical and moral implications of generative AI development and usage, including debates on privacy, bias, and the autonomy of intelligent systems. • Systematic Reviews: Compilations summarizing existing literature on the social and cultural influence of generative AI, identifying trends, gaps, and opportunities for future research. • Empirical Research: Studies based on surveys, interviews, or data analysis examining how perceptions and attitudes toward generative AI vary among different demographic and cultural groups. • Interdisciplinary Comparisons: Works that analyze the impact of generative AI from multiple disciplines, providing a rich understanding of its cross-cutting role in society.
Submissions
Submission Preparation Checklist
As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.- The journal was clearly informed of the link and access data, if the article and/or research data are deposited in any repository..
- The authors acknowledge that their work contains no plagiarism, fabrication of research, or falsification or manipulation of data.
- The contribution is original and unpublished and is not being evaluated for publication by another journal. In the case of the manuscript originating from a scientific event, dissertation or thesis, the authors are obliged to inform the event (name and website link) where the communication was presented, or the hosting location in the case of a dissertation or thesis, in the process of submitting the article in the “comments to the editor” field of the system. If the article has already been evaluated (and rejected) in another journal, the author acknowledges having followed the opinions received and the suggestions for improvement.
- Submission files must be in Doc, Docx, OpenOffice or RTF format. For manuscript standardization, the journal template was used OR, and only the abstract, citations, references were presented, with the body text in Arial font, size 12, with justified alignment and 1.5 line spacing, according to the author guidelines.
- The identification of the author of this work was removed from the file, from the text and from the properties option in Word (or in the software used), thus ensuring the journal's confidentiality criteria as per the instructions available in Ensuring Blind Peer Review.
- The work notes template is duly filled out with the digital signature of all authors of the manuscript.
- You have added at least one potential reviewer of your article or articles on similar topics in the “comments to the editor” field, providing their name, institution, country and email address. Please do not include colleagues or co-authors of other works.
- All co-authors agree that this is the final version of the document as well as its submission for evaluation and possible publication in this journal.
- The data made available in the form of a data article is available and easily accessible.
- The authors confirm that no generative artificial intelligence tools were used in the preparation of this manuscript. All content and arguments are the direct result of research, critical analysis, and human authorship.
Articles
Text resulting from completed research (bibliographic, documentary, experimental...), highlighting the theoretical and methodological framework, the procedures employed and the results obtained.
Essay
Text resulting from theoretical thinking that advances a theme or a new approach to an important theme for the academic debate in the field of Library Science and Information Science.
Case Study
Text resulting from the presentation of a professional experience, based on concrete case studies and bringing remarks that are of interest to the professional activity in the field.
Data Articles
A Data Article is a searchable metadata document, which describes a specific data set, or a group of data sets, published as a peer-reviewed article in an academic journal.
Dossier: News scenarios of the Digital Society and the challenges of Generative Artificial Intelligence
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- there is full consensus among all the coauthors in approving the final version of the document and its submission for publication.
- the work is original, and when the work and/or words from other people were used, they were properly acknowledged.
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