Measuring Reputational Risk in NGOs through Artificial Intelligence: Applying Transformers and Social Network Analysis to the Gaza-Israel Conflict

In a digital era of social hypertransparency, external perception and image are now considered among the most significant risks for senior executives in all organizations, and especially for NGOs, as their work and purpose depend on their reputation.

In this work, two indices are proposed, built using novel artificial intelligence techniques to measure the reputational risk of an organization or a group of organizations. The construction of the indices is based on the use of Transformers combined with social network analysis techniques. Results and conclusions from their implementation are presented in an example of X in the case of the conflict between Gaza and Israel.