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ACM SIGMM Interest List <[log in to unmask]>
Date:
Wed, 29 Nov 2023 13:33:47 +0100
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Michienzi Andrea <[log in to unmask]>
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Michienzi Andrea <[log in to unmask]>
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Università di Pisa - Department of Computer Science
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Resent-From: Michienzi Andrea <[log in to unmask]> Originally-From: Michienzi Andrea <[log in to unmask]>
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### ACM Transactions on the Web
### Special Issue on Advances in Social Media Technologies and Analysis

The diffusion of Online Social Networks and Media platforms (OSNs) has 
had a profound effect on the way we interact and a deep impact on 
society and business. OSNs have helped people to communicate, breaking 
down the geographical barriers that restricted communication. Through 
OSNs, virtual communication, sharing of information, and community 
participation are possible even among people in uncomfortable 
conditions. Today, OSNs are one of the main parts of daily life by 
affecting sociality, but they are also essential channels through which 
information travels faster than ever. The design and analysis of OSNs 
play a crucial role in helping to foresee events and manage critical 
scenarios.

### TOPICS
The rapid growth in popularity of OSNs has opened new challenging 
problems involving numerous computer science fields. These issues have 
implications for social graph analysis, trust and security, and so on. 
Moreover, privacy issues and the usage of mobile devices have opened new 
research fields in the design of decentralized online social networks, 
which can be considered one of the most important challenges. 
Furthermore, the current improvement concerning the study and the 
proposal of new approaches for OSNs involves not only complex network 
analysis, and, in particular, the decentralization of social services, 
but also the introduction of innovative technologies such as Artificial 
Intelligence and Virtual/Mixed Reality to ferry humankind towards the 
next generation Online Social Networks. In particular, the metaverse is 
playing a crucial role in this new generation of hyperconnected, 
gamified, and immersive social networking platforms, and as a 
consequence the introduction of decentralization in social platforms, 
thanks to blockchain technology, but in particular through the Web3 and 
NFTs, as part of the Metaverse world. This Special Issue on "Advances in 
Social Media Technologies and Analysis" aims to collect research 
contributions, applications, methodologies, and strategies that improve 
social media analysis and technology. 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 Networks Design and Analysis
• Security, Trust, and Privacy in Social Networks and Media
• Decentralized Social Networking applications: P2P, Cloud, and Mobile
• Blockchain Social Media: Analysis and Applications
• Web 3.0 oriented Social Media
• Social Sensing and Sentiment Analysis
• Information diffusion
• Incentive systems for OSNs
• Metaverse
• Virtual/Mixed Reality for the Metaverse
• Data Mining for OSNs and Media
• Dynamic Network Analysis in OSNs
• AI for OSNs and Media
• Social Dynamics
• Accessibility for Web and Media
• Mobility Data and Analysis for Social Media
• Ethics in Social Media

### IMPORTANT DATES
• Submissions deadline: December 30, 2023
• First-round review decisions: March 30, 2024
• Deadline for revision submissions: May 30, 2024
• Notification of final decisions: July 15, 2024
• Tentative publication: Q4 2024

### SUBMISSION INFORMATION
Submitting authors should follow the Style and Author Guidelines for 
regular TWEB submissions available at 
https://dl.acm.org/journal/tweb/author-guidelines. Please submit 
manuscripts via Manuscript Central, 
https://mc.manuscriptcentral.com/tweb. Submissions are encouraged to be 
accompanied by a cover letter that: (1) confirms that the manuscript is 
not currently under submission at another journal or conference; (2) 
confirms that the manuscript is substantially different from any 
previously published work; (3) confirms that none of the co-authors is a 
guest editor for this special issue; and (4) discloses any conflicts of 
interest with the guest editors.
For questions and further information, please contact [log in to unmask]

-- 
═══════════════════════
  Andrea Michienzi
  PhD, Università di Pisa - Department of Computer Science
═══════════════════════

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