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A Comparative Analysis of Various Models for Assessment of Trust in Digital Age Accelerated by Covid-19
5th International Conference on Computing Sciences, ICCS 2021 ; : 156-160, 2021.
Article in English | Scopus | ID: covidwho-1922671
ABSTRACT
The Coronavirus pandemic has made Irreversible changes in our society and the business world. Almost all aspects of the business and daily routine have shifted to the digital platforms and various forms of personal, indirect communications and suit the current environment in guarding us against coronavirus. The outbreak also brought a refreshing load of creativity in the people who found new ways to solve everyday problems. The key to solving problems is effective communication. With the help of mobile devices and computers, people were able to change their environment so that their expression of thoughts and their tasks of daily routine got aligned with social media platforms. People express themselves as if they are not going to get another chance to express themselves. They use doodles, poetic tweets, and many other forms of colloquial language. Using mixed language such as Hinglish became a norm for the commoner. In this research work, an attempt has been made to review techniques that can be used to work trust models from which meaning insights can be drawn in times such as covid-19 pandemic. From this study it can be inferred that no single approach of modeling complex scenarios such trust in times of covid-19 can be done. There is an urgent need to take inspiration from multiple techniques and approaches to assess the trust level in the digital society. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th International Conference on Computing Sciences, ICCS 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th International Conference on Computing Sciences, ICCS 2021 Year: 2021 Document Type: Article