Crisis social media data labeled for storm-related information and toponym usage.

ABSTRACT: Social media provides citizens and officials with important sources of information during times of crisis. This data article makes available labeled, storm-related social media data collected over a six-hour period during a severe storm and F1 tornado that struck Central Pennsylvania on May 1st, 2017. Three datasets were collected from Twitter using location, keyword, and network filtering techniques, respectively. Only 2% of the 22,706 total tweets overlap among the datasets, providing researchers with a broader scope of information than normally available when collecting tweets using location (i.e., geotag-based) and keyword filtering alone or in combination during a crisis. Each data collection technique is described in detail, including network filtering which collects data from networ

SUBMITTER: Grace R 

PROVIDER: S-EPMC7200777 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature