Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content
Description:
Hateful content and offensive language are commonplace on social media platforms. Many surveys prove that high percentages of social media users experience online harassment. Previous efforts have been made to detect and remove online hate content automatically. However, removing users' content restricts free speech. A complementary strategy to address hateful content that does not interfere with free speech is to counter the hate with new content to divert the discourse away from the hate. In …
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This item is restricted from view until June 1, 2025.
Date:
May 2023
Creator:
Albanyan, Abdullah Abdulaziz
Partner:
UNT Libraries