A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications Zahra Najafabadi Samani*, Alexander Lercher, Nishant Saurabh, and Radu Prodan Institute of Information Technology, University of Klagenfurt, Austria. {zahra,alexander,nishant,radu}@itec.aau.at Abstract. With the rapidly increasing popularity of social media appli- cations, decentralized control and ownership is taking more attention to preserve user’s privacy. However, the lack of central control in the decen- tralized social network poses new issues of collaborative decision making and trust to this permission-less environment. To tackle these problems and fulfill the requirements of social media services, there is a need for intelligent mechanisms integrated to the decentralized social media that consider trust in various aspects according to the requirement of ser- vices. In this paper, we describe an adaptive microservice-based design capable of finding relevant communities and accurate decision making by extracting semantic information and applying role-stage model while preserving anonymity. We apply this information along with exploiting Pareto solutions to estimate the trust in accordance with the quality of service and various conflicting parameters, such as accuracy, timeliness, and latency. Keywords: semantic information, community detection, Pareto-trust, decentralized social media, role-stage model. 1 Introduction Recently, decentralized social media applications (e.g. crowd journalism, car sharing, collaborative video creation) is gaining traction. Such systems with un- derlying decentralized social media orchestrate diverse actors into a permission- less peer-to-peer network with threefold benefits. First, it improves users control with a secure, permanent and unbreakable link to their data. Second, it allows users’ content to be secured from any central authority, third parties or unau- thorized individuals through a smart contract. Third and foremost, it provides a democratic environment where a user can join or leave the network at any time (based on peer-to-peer principle) with the same right for decision making and voting for a consensus. This will facilitate global availability and decentralized control and ownership. Although such systems truly democratize the technical world of social media, yet they pose some serious challenges [1, 2].