The Impact of the Post-Truth Era on Transparency and Accountability in Public Administration: Systematic Literature Review
DOI:
https://doi.org/10.63332/joph.v5i5.1817Keywords:
Transparency, Accountability, Disinformation, Post-truth, Blockchain, Artificial Intelligence, PRISMAAbstract
The post-truth era presents challenges to the transparency and accountability of public administration due to the rise of disinformation, social polarization, and ideological bias. This study analyzed the impact of fake news on transparency and explored the role of technology in improving information disclosure and counteracting disagreements. The method used was Systematic Literature Review (SLR) with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to select and analyze relevant literature. The results of the study show that effective transparency depends not only on the availability of information, but also on the communication strategies used. People who already distrust the government tend to reject official information if they do not communicate using an appropriate approach. Technologies, such as blockchain and artificial intelligence (AI), have great potential for increasing transparency and warding disinformation. Blockchain can ensure the security and accuracy of government data, whereas AI can help to detect and eliminate fake news. However, regulatory challenges, privacy protection, and infrastructure readiness remain as obstacles to its implementation. This study recommends strengthening evidence-based communication strategies, increasing media literacy, and developing policies to support technology-based transparency. Further studies are needed to explore the effectiveness of technology in increasing transparency and to assess the impact of communication strategies on public acceptance. With a more adaptive and comprehensive approach, the transparency and accountability of public administration can be improved to rebuild public trust in government institutions.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0
The works in this journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.