IPN: A Listener Awareness System
In the modern digitalized world, an abundance of information is being produced every day. It is a pressing and difficult challenge for various online platforms that seek to maintain a safe environment for their users. The existing conventional and traditional content modification methods often fail to address the diverse needs and sensitivities of individual users. To address this, we propose a solution called Listener Aware Content Detoxification which is intended to personalize content filtering based on user profiles and toxicity tolerance levels. Our system uses different types of techniques to study each individual's toxicity tolerance levels and personal history thus enabling a custom detoxification process that responds to individual desires as well as vulnerabilities based on their individual preferences.
Authors
- Bhaskarjyoti Das (ORCID: https://orcid.org/0000-0003-1225-9354)
- Pratim Kumar (ORCID: https://orcid.org/0000-0003-4151-836X)
- M. K. Pradhan (ORCID: https://orcid.org/0000-0002-2718-7181)
- Mohammed Taha Roshan
- Babitha Meenakshi
Institutions
- PES University (IN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/ceccc62598.2024.11063534
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00