Análise comparativa de abordagens baseadas em blockchain para combater fake news

Abstract

The proliferation of fake news has become a significant challenge in the current digital era, resulting in misinformation and social polarization. This study aims to conduct a comparative analysis of blockchain-based approaches to combat fake news. A systematic review was conducted, analyzing five distinct strategies of using blockchain for combating fake news. The methodology involved comprehensive literature research, data extraction, and comparative analysis of the identified articles. The analysis considered various factors, including the effectiveness in detecting fake news, scalability, ease of implementation, and impact on reducing the spread of misinformation. The results revealed important insights into the strengths and weaknesses of each approach. Balouchestani et al. (2019) demonstrated high effectiveness in detecting fake news and ease of implementation, while Ochoa et al. (2019) presented high scalability and impact on reducing misinformation. Paul et al. (2019) exhibited the highest effectiveness in detecting fake news, and Sengupta et al. (2021) stood out in terms of scalability. Chakravorty e Rong (2017) demonstrated a significant impact on reducing the spread of misinformation. Considering the current state of the fake news problem, this research provides a comprehensive insight into the potential of blockchain technology in addressing the issue. The comparative analysis highlights the strengths and weaknesses of different approaches. Overall, this study contributes to the existing knowledge by providing valuable insights into the application of blockchain in combating fake news. The results can guide future research and development efforts in leveraging blockchain technology to enhance the reliability and credibility of information in social networks.