Decentralized Review System for Transparent and Accountable Governance
for an organization in a given period can help prevent spam . Machine learning algorithms can be used as part of smart contracts to identify and flag fake reviews , if any , thereby improving the authenticity of the reviews on the platform .
There is a delicate balance between providing anonymity and preventing fake reviews . As such , we must prioritize our objectives and design our system without compromising its core values . Ultimately , the success of a decentralized review system will depend on its ability to provide a high degree of trust , transparency , and accountability , and we are excited to see how this technology can continue to evolve in the future . Our current implementation is of Public-open style , but it can be configured to any of the other three blockchain configurations .
[ 2 ] Lappas , Theodoros , et al . “ The Impact of Fake Reviews on Online Visibility : A Vulnerability Assessment of the Hotel Industry .” Information Systems Research , vol . 27 , no . 4 , 2016 , pp . 940 – 61 . JSTOR ,
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[ 9 ] C . D . Clack and C . McGonagle , “ Smart derivatives contracts : The ISDA Master Agreement and the automation of payments and deliveries ,” CoRR , vol . abs / 1904.01461 , 2019 . [ Online ].
http :// arxiv . org / abs / 1904.01461 .
64 April 2023