Dear Colleagues,

This Special Issue, "Social Media Meets AI and Data Science", explores the intersection of social media platforms and advanced computational technologies. Social media platforms generate vast amounts of data daily, offering unique opportunities and challenges for AI and data science applications. This issue aims to present cutting-edge research that utilizes artificial intelligence and data science techniques to analyze, interpret, and leverage social media data. Topics may include but are not limited to, sentiment analysis, user behavior prediction, content personalization, the detection of misinformation, and Trust. Moreover, this issue will delve into ethical considerations, privacy concerns, and the implications of AI-driven social media tools on society and individual users. Contributions may involve various methodologies, including machine learning models, natural language processing, and predictive analytics, providing insights into how these technologies can enhance our understanding and engagement with social media platforms. We invite empirical research, case studies, and review articles that address both the technical aspects and societal impacts of integrating AI and data science in social media contexts.

Dr. Kevin Koidl
Dr. Andrea Michienzi
Dr. Barbara Guidi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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 single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords:
- artificial intelligence
- data science
- social media analytics
- sentiment analysis
- user behaviour prediction
- misinformation detection
- natural language processing
- machine learning
- ethical implications
- privacy concerns
- trust