Vulnerable community identification using hate speech detection on social media

Highlights：

• In summary, our proposed approach has the following contributions:○Our proposed approach investigates the application of hate speech detection approach to vulnerable community identification.○We successfully identify a potentially vulnerable community in terms of hatred on social media, by using the example of Amharic text data on Facebook.○We collected and annotated Amharic data for the task of hate speech detection, aligned with multicultural societies like Ethiopia.○We utilize Apache Spark distributed platform for data pre-processing and feature extraction since social media data is very noisy and large that needs efficient tools to facilitate efficient processing.