Toward promoting a safe and peaceful online world: Deep neural multilingual models to combat online hate content
Implementing Organization
Indian Institute of Technology (IIT), Kharagpur
Principal Investigator
Dr. Animesh Mukherjee
Indian Institute Of Technology (IIT) Kharagpur, West Bengal
About
Hate speech, which spreads online and offline, has led to the implementation of laws and policies to prevent violence based on various factors. This has affected both online and offline communities, causing trauma and psychological distress for victims. In 2019, the United Nations released a strategy and plan of action on hate speech, focusing on monitoring and analyzing hate speech, using technology to combat it, and countering hate speech. The advisory committee emphasized the importance of prompt detection and combating hate speech to create neutral and safe content and prevent serious real-life consequences. The project aims to analyze how hate speech spreads online, detect it using computer algorithms, and mitigate it by using more speech to counter hate speech. The goal is to resolve these issues to ensure peace and safety in the online world. The project aims to explore the speed and depth of hate speech spread, the effectiveness of detection methods, and the use of counterspeech, which can be generic or specific to target communities.
Source
Source
Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Start Year
2024
End Year
2027
Sanction Amount
₹ 25.55 L
Status
Ongoing
Contact
animeshm@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed :00
Grant :00
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