Deciding the right ways of investing money is complicated with the trade-offs of risks and returns. High Yield Investment Programs (HYIPs) have extremely high promised return rates, sometimes more than 100% daily, that can attract many investors. As a result, investing in most cryptocurrencies like bitcoins, HYIPs, and their websites is booming. Prior researchers have already classified HYIPs as scams. However, some websites still last for many years or constantly pay investors as promised. Therefore, we propose that trustworthiness of HYIP websites is questionable, with different affecting factors. Using a large secondary dataset, we empirically tested the relationships between response variables (trustworthiness) two groups of explanatory variables: stability, and media/platform factors. Overall, the effects of the media/platform group are much less than the stability group toward trustworthiness. This research provides theoretical and practical insights into the HYIP investment.
KEYWORDS: Blockchain, Systems modeling, Cognitive modeling, Information technology, Video, Digital watermarking, Digital video recorders, Design and modelling, Artificial intelligence, Web 2.0 technologies
Individuals are easily exposed to fake news on social media, which could lead to devastating consequences. With its unique transparency and reliability features, such as smart contracts, securely stored hashtags, and reputation systems, blockchain technology is a promising solution to combat fake news. Although a few studies have examined this novel application of blockchain, none of them have empirically and systematically tested the applicability of such a framework in real-life contexts and the acceptance of related users. This paper contributes to the literature by combining three theories (Technology Acceptance Model, Social Capital Theory, and Social Cognitive Theory) into a proposed conceptual framework to empirically examine how people would accept the introduced blockchain – fake news systems.
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