Interest in investigating the social and computational aspects of counterspeech has significantly increased in the past five years.
Previous work has focused on the impact of counterspeech on hate mitigation, categorizing techniques into counter-stereotypical exemplars, persuasion, inoculation, and alternative accounts.
Counterspeech shows promise in reducing violent radicalization, with varying effects across different techniques like counter-stereotypical exemplars, inoculation, and alternative accounts.
There is a growing body of work in computational approaches to counterspeech, including the use of natural language processing for classification and generation, but there is a need to integrate insights from social sciences for a more comprehensive understanding.