Abstract
Social media platforms are becoming increasingly popular and essential for next-generation connectivity. However, the emergence of social media also poses critical trust challenges due to the vast amount of created and propagated content. This paper proposes a data-driven tool called SMART for trust and reputation management based on community engagement and rescaled sigmoid model. SMART’s integrated design adopts a set of expert systems with a unique inference logic for trust estimation to compute weighted trust ratings of social media content. SMART further utilizes the trust ratings to compute user reputation and represent them using a sigmoid curve that prevents infinite accumulation of reputation ratings by a user. We demonstrate the SMART tool prototype using a pilot social media application and highlight its user-friendly interfaces for trustworthy content exploration.
| Original language | English |
|---|---|
| Title of host publication | Euro-Par 2021 |
| Subtitle of host publication | Parallel Processing Workshops - Euro-Par 2021 International Workshops, 2021, Revised Selected Papers |
| Editors | Ricardo Chaves, Dora B. Heras, Aleksandar Ilic, Didem Unat, Rosa M. Badia, Andrea Bracciali, Patrick Diehl, Anshu Dubey, Oh Sangyoon, Stephen L. Scott, Laura Ricci |
| Publisher | Springer |
| Pages | 417-427 |
| Number of pages | 11 |
| ISBN (Print) | 9783031061554 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021 - Virtual, Online Duration: 30 Aug 2021 → 31 Aug 2021 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13098 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021 |
|---|---|
| City | Virtual, Online |
| Period | 30/08/21 → 31/08/21 |
Bibliographical note
Funding Information:ARTICONF receives funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 825134.
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
Funding
This work received funding from the European Union’s Horizon 2020 research and innovation programme, grant agreement 825134, “Smart Social Media Ecosytstem in a Blockchain Federated Environment (ARTICONF)”.
Keywords
- Community engagement
- Reputation
- Sigmoid model
- Social media
- Trust
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