2 citations · 6 across the 6 of their papers we have counts for
6 papers
Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs
Trisha Mittal, Puneet Mathur, Rohan Chandra +5
We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to…
Multilingual and Multimodal Abuse Detection
Rini Sharon, Heet Shah, Debdoot Mukherjee +1
The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been…
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos
Vikram Gupta, Trisha Mittal, Puneet Mathur +5
We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj. 3MASSIV…
ADIMA: Abuse Detection In Multilingual Audio
Vikram Gupta, Rini Sharon, Ramit Sawhney +1
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR…
Heterogeneous Edge Embeddings for Friend Recommendation
Janu Verma, Srishti Gupta, Debdoot Mukherjee +1
We propose a friend recommendation system (an application of link prediction) using edge embeddings on social networks. Most real-world social networks are multi-graphs, where diff…
Understanding Chat Messages for Sticker Recommendation in Messaging Apps
Abhishek Laddha, Mohamed Hanoosh, Debdoot Mukherjee +2
Stickers are popularly used in messaging apps such as Hike to visually express a nuanced range of thoughts and utterances to convey exaggerated emotions. However, discovering the r…