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Citizen-Sourced Event Reporting with Veracity Assessment

Authors: Christodoulos Demetriou; Loizos Michael;

Citizen-Sourced Event Reporting with Veracity Assessment

Abstract

The overwhelming number of events of potential interest to local or national authorities is often in stark contrast to the severely limited resources that authorities can avail for identifying such events. The active engagement of citizens in the identification task is, arguably, a potential solution to this problem, but brings with it a number of other issues that need to be addressed: How are citizens incentivized to participate? How is the veracity of reported events assessed? To what extent can relevant processes be automated? This position paper puts forward an architecture for an integrated platform that couples citizen-sourced reporting with the semi-autonomous use of drones for assessing the veracity of sourced reports, and discusses the multiple facets of such an architecture in relation to typical research questions for autonomous agents and multi-agent systems.

This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE ��� Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.

Keywords

Citizen-Sourced Information, Information Aggregation and Validation, Cognitive Offloading, Human-Machine Collaboration

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
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