Dear Colleagues,

Interest in social media has only increased with time. Social media today represent the main channel to communicate and to share personal information. Social media analysis usually combines content-based and network-based analysis. While content-based approaches analyze media using media analysis techniques, network-based approaches analyze static and dynamic network properties with the aim of detecting influencers for marketing purposes. Network-based analysis represents a fundamental process in order to understand the dynamics of these platforms. New techniques and technologies have been proposed in order to enrich the social media analytics field. In particular, decentralized approaches have been proposed in order to face privacy issues, and AI has been applied in order to improve analysis over large sets of data. The main goal of this Special Issue is to collect research contributions, applications, analyses, methodologies, or strategies that strengthen or face the knowledge of social media thanks to advanced analyses or new technologies, such as P2P networks or blockchain. We hope that this Special Issue will contribute to raising awareness about new proposals and the impact of new technologies on social media. Potential topics include, but are not limited to, the following: - Social media analysis;- Decentralized approaches for social media;- Blockchain social media: analysis and applications;- AI for social media;- Social media mining;- Privacy in social media;- Fake news and misinformation.

Dr. Barbara Guidi
Dr. Carlos A. Iglesias
Dr. Giulio Rossetti
Dr. Kevin Koidl
Guest Editors

More information at https://www.mdpi.com/journal/applsci/special_issues/analysis_social_media