Author:
Samuel Toepke
Affiliation:
Private Engineering Firm, Washington DC and U.S.A.
Keyword(s):
Data Acquisition, Geographic Information Systems, Bot Detection, Volunteered Geographic Information, Knowledge Extraction, Trustworthiness, Translation.
Abstract:
Effective crisis management and response heavily relies on up-to-date and trustworthy information. Near real-time, volunteered geographic information (VGI) has previously been shown to be instrumental during disaster response by helping direct resources, create communication channels between the affected, etc. Trustworthiness continues to be a challenge when leveraging crowd sourced data, as quality information directly impacts the effectiveness of response. Previous research has demonstrated cloud-based VGI collection, storage, presentation, and bot mitigation using open source technologies and freely available web services. Alas, the technology was deployed as a prototype for small urban areas in the United States. This research explores bot pervasiveness in several global cities that have previously suffered a catastrophic event and/or are at risk for a future crisis event. The existence of non-trustworthy information in social media data has always been a known issue, taking steps
to quantify the presence of bots in Twitter data can allow an end-user to more holistically understand their dataset.
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