Research in progress: Understanding how emergency managers evaluate crowdsourced data: A trust game-based approach

@inproceedings{Moore2013ResearchIP,
  title={Research in progress: Understanding how emergency managers evaluate crowdsourced data: A trust game-based approach},
  author={Kathleen A. Moore and Andrea H. Tapia and Christopher Griffin},
  booktitle={ISCRAM},
  year={2013}
}
The use, or barriers to use, of crowdsourced data by emergency managers has been a significant topic of scholarly discussion during the past several years. The single strongest barrier to use has been identified as one of data quality (Tapia, et. al, 2011). We argue that within this environment the Emergency Manager (EM) acts as a decision-maker and evaluator of crowdsourced data. The final judgement on whether to incorporate crowdsourced data into a Crisis response lies with the EM. In this… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • A story that is 90% true with 10% falsehood is more likely to be accepted as factual than a story that is 10% true and 90% falsehood, particularly in the presence of additional, corroborating, information.

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