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eGovernance for Citizen Awareness and Corruption Mitigation

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12615))

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Abstract

‘Corruption’ can be defined as the exploitation of delegated authority for illegitimate profits. We consider the kind of corruption happening on several levels in the country in regards to infrastructure and public works. Corruption can be identified by studying the issue from both sides—the government and the public. We look at how ICT, with the help of citizens, can help in identifying misuse and corruption. Corruption is a big menace in India. Transparency and accountability are generally improved when we enable support and citizen involvement in addition to closer collaboration between government and citizens. We dont claim that our model is not as such a complete remedy to fight corruption, and it can also be misused by fraudulent officials. Practically, impact depends on the aptness of ICT for local circumstances and requirements and in utilising technology. There are several corruption-prone public services and citizens can be for effectively monitoring and mitigating corruption as citizens would generally like to participate in activities that would help in mitigating corruption at their provincial level. But there are several challenges and issues involved in providing such a platform and implement an effective workflow and dataflow, and also avoid misuse or abuse of the system. The proposed model discusses how ICT empowers the citizens with information to combat corruption and see that the abuse of the system is minimized by making information transparent to the citizens and letting them report on discrepancies.

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Correspondence to A. B. Sagar .

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Sagar, A.B., Nagamani, M., Banothu, R., Babu, K.R., Juturi, V.R., Kothari, P. (2021). eGovernance for Citizen Awareness and Corruption Mitigation. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_46

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  • DOI: https://doi.org/10.1007/978-3-030-68449-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68448-8

  • Online ISBN: 978-3-030-68449-5

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