Abstract

Experience and big amount of data are generated and used in risk and crisis management. Structuring the volume of data and learning from them are still big challenges to be faced to help actors either in decision-making or in operations. Data collection, for instance, is an important aspect, and sometimes, there can be overemphasis on using raw social media data for crisis informatics without adopting appropriate methodologies for cleaning the data and ensuring it is applicable to the situation at hand (ie assessing topical relevance). In recent years, this has become even more important with growing recognition that bots can often wield undue influence in social media, especially Twitter. Several techniques have been developed in the last years in Artificial Intelligence (AI) study and Computer Supported Cooperative Work (CSCW) that can be applied to face these challenges. The combination of these tools and …

Date

2020

Authors

Antonio De Nicola, Hedi Karray, Mayank Kejriwal, Nada Matta

Source

Journal of Contingencies and Crisis Management

Volume

28

Issue

3

Pages

174-177