A Comprehensive Examination of Digital Privacy in Crowdsourcing Applications

The rapidly evolving conditions of crowdsourcing (CS), made achievable by the universal accessibility of the internet, has transformed the way users engage to address problems confronted by several sectors. The major goal of this research was to build processes to guarantee the security of identifiable data while utilising CS solutions. The study delves additional into the idea of CS, examining its beginnings and distinctive traits. This study was based on the systematic literature review method. In this, a comprehensive database of existing researches in this study context. Through the analysis of these researches, the findings of this study are formed. Which help in forming the digital privacy framework. This study presents an analysis of the advantages and disadvantages of this method, which can exacerbate the intricate challenges associated with maintaining anonymity due to computer science procedures. If you have concerns about safeguarding your identity when utilising CS, this is an ideal starting point. To substantiate the investigation’s findings, a comprehensive examination of the existing literature is presented. The primary purpose of this framework is to offer clear guidance on matters related to privacy. It encompasses a wide range of situations, including computer science for smartphone applications and other diverse scenarios. In order to comply with legislation such as the General Data Protection Regulation (GDPR), it utilises technology measures such as blockchain and encryption. The paper finishes by examining the dynamic nature of the computer science field and providing specific recommendations for protecting personal data on the internet while maximising computer science efforts.