Understanding resilience attributes for children, youth, and communities in the wake of the Deepwater Horizon oil spill study, social media component

Twitter data was acquired from a service provider to investigate the role of social media during and after the Deepwater Horizon Oil Spill. In particular, historical Twitter data was accessed using a geospatial query tool. The query rules were built with a set of keywords and filtered by date. Using a combination of human coding and machine-learning processes, the twitter datasets were examined to get insights into online communications related to the oil spill. This dataset contains the description about the data acquisition process, the search strategy and keywords, and the dates of the historical Twitter datasets related to the Deepwater Horizon oil spill, along with a detailed summary of the methodology being used for data analysis.