A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Countering Negative Effects of Hate Speech in a Multi-Agent Society
[chapter]
2021
Frontiers in Artificial Intelligence and Applications
Hate speech expresses prejudice and discrimination based on personal characteristics such as race or gender. Research has proven that the amount of hateful messages increases on online social media. If not countered properly, the spread of hatred can overwhelm entire societies. This paper proposes a multi-agent model of the spread of hatred. We reuse insights from previous research to construct and validate a baseline model. From this, three countermeasures are modelled and simulated to
doi:10.3233/faia210122
fatcat:qtbrzvf6vvc7xdetxdqbemufwe