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OASIS'23: 3rd International Workshop on Open Challenges in Online Social Networks

Published: 05 September 2023 Publication History

Abstract

Online Social Networks (OSNs) became part of everyday life for many people around the world. They are one of the main channels through which information can spread at lightning speed. Thanks to this fact, people use them for the most disparate reasons, such as sources of information in place of newspapers, to receive emotional or technical support, or to share their ideas and opinions to satisfy their need for sociality.
Since their introduction, people questioned these services because they are affected by several problems. These problems include the preservation of the users' privacy, fake news diffusion, diffusion of illegal pieces of content, censorship vs free speech, economic value redistribution, security vs trust, and so on. The aim of this workshop is to partially try to overcome these problems by setting up a platform for researchers to publish their contributions.
The contributions can point to innovative methods and algorithms for social graph mining, which can be helpful to develop more efficient information diffusion techniques; the problem of privacy, and how can be enforced in these systems is current, and in particular the relation between security, trust and privacy is crucial in the scenario of OSNs; the decentralisation and its impact on the implementation of social services; how Artificial Intelligence techniques that respect the privacy of the users can be implemented; technologies that enable the metaverse.

References

[1]
Aaron Beach, Mike Gartrell, and Richard Han. 2009. Solutions to security and privacy issues in mobile social networking. In 2009 International Conference on Computational Science and Engineering, Vol. 4. IEEE, 1036--1042.
[2]
Barbara Guidi, Andrea Michienzi, and Laura Ricci. 2020. A graph-based socioeconomic analysis of steemit. IEEE Transactions on Computational Social Systems 8, 2 (2020), 365--376.
[3]
Barbara Guidi, Andrea Michienzi, and Laura Ricci. 2020. Steem blockchain: Mining the inner structure of the graph. IEEE Access 8 (2020), 210251--210266.
[4]
Andrea Michienzi, Barbara Guidi, Laura Ricci, and Andrea De Salve. 2021. Incremental communication patterns in online social groups. Knowledge and Information Systems 63, 6 (2021), 1339--1364.
[5]
Chi Zhang, Jinyuan Sun, Xiaoyan Zhu, and Yuguang Fang. 2010. Privacy and security for online social networks: challenges and opportunities. IEEE network 24, 4 (2010), 13--18.

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cover image ACM Conferences
HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media
September 2023
334 pages
ISBN:9798400702327
DOI:10.1145/3603163
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2023

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Author Tags

  1. AI for Social Media
  2. Blockchain
  3. Decentralization
  4. Social Networks and Media: analysis and mining

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  • Extended-abstract
  • Research
  • Refereed limited

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HT '23
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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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