Building Knowledge Graphs About Political Agents in the Age of Misinformation
Daniel Schwabe, Carlos Laufer, Antonio Busson

TL;DR
This paper discusses constructing a knowledge graph of political agents, focusing on modeling challenges like trust and provenance, and presents implementation choices to improve information reliability in the context of misinformation.
Contribution
It introduces a novel approach to building political knowledge graphs with emphasis on trust and provenance management, addressing key challenges in misinformation environments.
Findings
Identified key modeling challenges in political knowledge graphs
Proposed solutions for trust and provenance issues
Outlined implementation strategies for reliable political data
Abstract
This paper presents the construction of a Knowledge Graph about relations between agents in a political system. It discusses the main modeling challenges, with emphasis on the issue of trust and provenance. Implementation decisions are also presented
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Taxonomy
TopicsTopic Modeling · Advanced Graph Neural Networks · Misinformation and Its Impacts
