Social media applications are essential for next generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance issues over the created and propagated content. The ARTICONF project funded by the European Union's Horizon 2020 program researches a decentralized social media platform based on a novel set of trustworthy, resilient and globally sustainable tools to fulfil the privacy, robustness and autonomy-related promises that proprietary social media platforms have failed to deliver so far. This paper presents the ARTICONF approach to a car-sharing use case application, as a new collaborative peer-to-peer model providing an alternative solution to private car ownership. We describe a prototype implementation of the car-sharing social media application and illustrate through real snapshots how the different ARTICONF tools support it in a simulated scenario.
Focusing on the data-driven analytics and its effects on paid services providers can potentially reverse-engineer break-even rates, expected Return on Investment (ROI), and performance timelines. Traditional centralised social networking analytics and metrics can estimate the expected number of customers using well-established vendor-specific revenue assurance tools. They include a systematic approach of incorporating social, environmental, economic, and other values into standard decision-making processes. The challenge appears when the decentralised social media stakeholders come into the game. Then they need to find unified metrics to measure the achievement of social impact relying on three primary performance indicators: appropriateness, efficiency and effectiveness. This paper presents the idea of adding social collaboration term to increase impact within the industry and the effectiveness of tactics and strategies among multiple people, groups or departments. The decision making process related to the revenues will thus benefit from this newly defined metric called Return on Collaboration (ROC).Measuring the ROC provides users with real-time cost per engagement analyses, allowing them to define their specific business application success indicators. The traditional ROI calculates the gain or loss of a given investment. On the other hand, ROC measures the "improvement" resulting from a monetary expenditure in collaboration and the innovative ROC model facilitates user collaboration and revenue growth. As a result, providers can assess the effect of social media services and technologies.
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