ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Prodan, Radu; Saurabh, Nishant; Zhao, Zhiming; Orton-Johnson, Kate; Chakravorty, Antorweep; Karadimce, Aleksandar; Ulisses, Alexandre

doi:10.1007/978-3-030-48340-1_32

Cited by 10 publications

(11 citation statements)

References 2 publications

(2 reference statements)

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“…Furthermore, most of the existing ridesharing services or platforms are managed by a centralized third party, resulting in one single point of failure [95]. Using the blockchain in the context of ridesharing is in line with prior research that investigates blockchain's role in the sharing economy [121,122]. The authors propose solutions for ride and car-sharing that suggest many benefits for drivers, riders, and cities.…”

Section: Ridesharingmentioning

confidence: 60%

“…This solution is further elaborated in another publication by some of the authors [86]. ARTICONF, a project funded by the European Horizon 2020 program, aims to develop a new development platform and ecosystem for social media [121]. References [103] and [86] investigate the ARTICONF approach for the use-case of a peer-to-peer, collaborative car-sharing application.…”

Section: Ridesharingmentioning

confidence: 99%

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Blockchain for Smart Mobility—Literature Review and Future Research Agenda

2021

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Today’s cities face numerous challenges due to climate change and urbanization. The concept of a smart city aims to help cities to address these challenges by adapting modern information and communication technology. Smart mobility and transportation form one important aspect of smart cities. Inefficient mobility in cities can lead to problems such as traffic congestion, which results in frustration for residents and a decrease in the quality of life. Against the backdrop of global warming, cities also strive to reduce CO2 emissions, an attempt which requires sustainable and novel mobility concepts. Blockchain is a current technology, said to have huge potential, that is being investigated for application in many facets of smart cities. In the context of smart mobility, blockchain can be used for transactions relating to ridesharing and electric charging, handling of interactions of platoon members, or serving as a foundation for communication between vehicles. Although initial research about this topic exists, it is distributed among different use-cases and applications. This article conducts a systematic literature review to analyze blockchain’s role in mobility and transportation in smart cities, and its potential to increase efficiency in these areas. With this review, we aim to consolidate and summarize the current knowledge about this topic. As a first result, we present the findings from our literature review, which can be divided into five categories of use-cases. We also present a platform for further research about this emerging topic by identifying promising future research avenues. For this purpose, we derive a future research agenda based on our findings.

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Section: Ridesharingmentioning

confidence: 60%

Section: Ridesharingmentioning

confidence: 99%

Blockchain for Smart Mobility—Literature Review and Future Research Agenda

2021

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“…Today's most popular social networks, such as Facebook, Twitter, etc., are centralised platforms owned by private corporations that unilaterally control the respective networks. International project "smART socIal media eCOsystem in a blockchaiN Federated environment (ARTICONF)" is devoted to researching and developing a series of trustworthy, resilient and globally sustainable decentralised social network platforms [1]. Today, social media platforms are vital technologies that connect and inform people to global networks.…”

Section: Introductionmentioning

confidence: 99%

Tools for Analytics and Cognition for Crowd Journalism Application

Paunkoska,

Hristov,

Karadimce

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…To achieve these goals, we propose a data-driven tool called SMART developed in the European ARTICONF [12] project, which provides a decision-making methodology engaging community experts [6] in computing weighted trust content ratings and classifying them as trustworthy or not. The trust ratings employ the rescaled sigmoid model [13] to compute the reputation ratings of a social media user who created them.…”

Section: Introductionmentioning

confidence: 99%