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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IPN: A Listener Awareness System

Bhaskarjyoti Das, Pratim Kumar, M. K. Pradhan, Mohammed Taha Roshan et al.
Speech Recognition and Synthesis
article

IPN: A Listener Awareness System

Bhaskarjyoti Das, Pratim Kumar, M. K. Pradhan, Mohammed Taha Roshan, Babitha Meenakshi
article en

Abstract

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.

PES University (IN)
Openalex Percentile: Top 72%
Speech Recognition and Synthesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.