Elections represent the unified voice of citizens in a country, empowering voters to shape their government and future. Understanding the concerns of stakeholders like voters, candidates, journalists, and election administrators is crucial for improving electoral participation and engagement. In our study, we collected 227 election-related questions from various online sources, reflecting diverse geopolitical contexts across eight different democratic countries. We identified 116 questions that were asked frequently as per online sources across multiple regions and refined these into 85 parameterizable queries. We also built a user interface (UI), available at https://ai4society.github.io/election-dataset/ , which categorizes these questions by country and allows individuals to submit election-related questions specific to their country. Our analysis reveals a notable disparity between the questions we collected and those typically found in official frequently asked questions, highlighting gaps that could guide future research to improve electoral processes. This dataset can help developers and researchers build Artificial Intelligence (AI)-enabled tools to reduce information gaps in the election ecosystem globally.

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A Dataset and Visualization of Generalizable Election-Related Questions Compiled from Leading Global Democracies for Building AI-Enabled Tools

  • Kausik Lakkaraju,
  • Bharath Muppasani,
  • Sara Elizabeth Jones,
  • Biplav Srivastava

摘要

Elections represent the unified voice of citizens in a country, empowering voters to shape their government and future. Understanding the concerns of stakeholders like voters, candidates, journalists, and election administrators is crucial for improving electoral participation and engagement. In our study, we collected 227 election-related questions from various online sources, reflecting diverse geopolitical contexts across eight different democratic countries. We identified 116 questions that were asked frequently as per online sources across multiple regions and refined these into 85 parameterizable queries. We also built a user interface (UI), available at https://ai4society.github.io/election-dataset/ , which categorizes these questions by country and allows individuals to submit election-related questions specific to their country. Our analysis reveals a notable disparity between the questions we collected and those typically found in official frequently asked questions, highlighting gaps that could guide future research to improve electoral processes. This dataset can help developers and researchers build Artificial Intelligence (AI)-enabled tools to reduce information gaps in the election ecosystem globally.