Topical Collection on "Artificial Intelligence for Social Media Data: Algorithms, Accountability and Societal Impact" of Digital Technologies Research and Applications(DTRA)

Digital Technologies Research and Applications

Topical Collection on "Artificial Intelligence for Social Media Data: Algorithms, Accountability and Societal Impact"

A topical collection of Digital Technologies Research and Applications (DTRA) (E-ISSN: 2754-5687).
Deadline for manuscript submissions: 15 December 2026

Collection Editor: 

Assoc. Prof. Dr. İsmail Baydili
Firat University
Orcid: https://orcid.org/0000-0001-8563-8342
E-mail: ismail.baydili@firat.edu.tr
Research Interests: Artificial intelligence in digital communication; computational analysis of social media discourse; political communication and algorithmic mediation; misinformation and online influence dynamics; platform governance and sociotechnical systems; AI ethics in media and communication studies

 

Assoc. Prof. Dr. Burak Taşcı
Firat University
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57213686441
E-mail: btasci@firat.edu.tr
Research Interests: Deep learning architectures; large-scale representation learning; explainable and trustworthy AI; multimodal data modelling; optimisation and feature engineering; reproducible machine learning pipelines; AI applications in biomedical and social data domains

 

Topical Collection Information:

Dear Colleagues,

The rapid expansion of social media platforms has generated unprecedented volumes of multimodal data that shape public discourse, political behaviour, cultural interaction and collective decision-making. Artificial intelligence now plays a central role in extracting meaning from this data, while simultaneously influencing visibility, amplification and governance within digital ecosystems. However, methodological opacity, algorithmic bias and limited cross-cultural generalisability continue to challenge the responsible use of AI in social media research.

This Topical Collection aims to bring together cutting-edge research that advances methodological innovation, model evaluation and accountable AI practices for large-scale social media data analysis. We particularly welcome studies proposing novel architectures, causal and counterfactual approaches, multimodal fusion strategies and explainable systems that address real-world societal challenges such as misinformation, polarisation, affective dynamics and influence propagation.

A core objective of the collection is to promote transparent, reproducible and ethically grounded research, encouraging open data, open code and robust evaluation across linguistic, cultural and platform-specific contexts. Contributions from artificial intelligence, computational social science, communication studies, ethics and governance are equally encouraged, fostering interdisciplinary dialogue and impact.

By consolidating methodological rigor with societal relevance, this collection seeks to establish reference standards for trustworthy AI-driven social media research and to support evidence-based public communication and policy development.

Assoc. Prof. Dr. İsmail Baydili
Assoc. Prof. Dr. Burak Taşcı
Collection Editor

Keywords:

  • Artificial intelligence
  • Social media analytics
  • Multimodal data
  • Explainable and accountable AI
  • Misinformation and polarisation
  • Causal inference
  • Algorithmic fairness
  • Computational social science

Manuscript Submission Information:

Please visit the Submissions Guidelines page before submitting a manuscript. Submitted papers should be well formatted and use good English. Manuscripts should be submitted online through the online manuscript submission and editorial system. Additionally, please include a cover letter specifying that the manuscript is intended for the Topical Collection "Artificial Intelligence for Social Media Data: Algorithms, Accountability and Societal Impact" when submitting it online. Manuscripts can be submitted until the submission deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the Topical Collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract can be sent to the Editor Skyler skyler@ukscip.com for announcement on this website.

The Article Processing Charge (APC) for publication in this open access journal is 1800 USD. Authors who are unable to cover this cost or those who are invited to submit papers may be eligible for discounts or waivers.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process.

Published Papers:

This Topical Collection is now open for submission.