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  • 1400+ Downloads
    Updated September 24, 2020 | Dataset date: Feb 1, 2020-Aug 31, 2020
    This dataset updates: Every three months
    This dataset represents the geographical distribution of Twitter users and tweets related to Coronavirus (COVID-19) pandemic at three levels. The data was collected and processed by the AIDR system (http://aidr.qcri.org). See the individual resources/files for more details about the datasets.
  • 800+ Downloads
    Updated September 21, 2020 | Dataset date: Aug 27, 2020
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259).
  • 90+ Downloads
    Updated Live | Dataset date: May 1, 2019-Dec 31, 2020
    This dataset updates: Live
    This dataset combines two sources of education-insecurity data: Machine-learning-driven counts of tweets from Africa and the Middle East on the topic of education insecurity—in Arabic, English, and French—via the Artificial Intelligence for Disaster Response (AIDR) project Human-curated reports of actual education-insecurity events in Africa and the Middle East, via the Armed Conflict Location & Event Data (ACLED) project.
  • 40+ Downloads
    Updated January 17, 2020 | Dataset date: Sep 12, 2019
    This dataset updates: As needed
    This Dataset is representing the social and community media in DRC and particulary in the province of Kongo-Central.
  • 100+ Downloads
    Updated November 18, 2018 | Dataset date: Sep 16, 2018-Sep 26, 2018
    This dataset updates: Never
    This is a Twitter dataset collected during the typhoon Mangkhut 2018 in the Philippines. The data was collected, processed, and analyzed by the AIDR (http://aidr.qcri.org) platform using state of the art machine learning techniques. The data includes the reports of number of injured and dead people, infrastructure damage reports, missing or found people, urgent needs and donation offers for each hour. Due to Twitter TOS, we do not share full tweets content on HDX. Please contact us via HDX or on aidr.qcri@gmail.com to get tweet ids of the dataset along with a tool which can be used to rehydrate tweets from tweet ids.
  • 300+ Downloads
    Updated July 10, 2018 | Dataset date: Aug 25, 2017-Sep 5, 2017
    This dataset updates: Never
    This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Harvey. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. The data was automatically classified using state of the art machine learning techniques.