A multimodal approach to predict social media popularity

M Meghawat, S Yadav, D Mahata, Y Yin… - … IEEE conference on …, 2018 - ieeexplore.ieee.org
Multiple modalities represent different aspects by which information is conveyed by a data
source. Modern day social media platforms are one of the primary sources of multimodal …

Detecting offensive tweets in hindi-english code-switched language

P Mathur, R Shah, R Sawhney… - Proceedings of the sixth …, 2018 - aclanthology.org
The exponential rise of social media websites like Twitter, Facebook and Reddit in
linguistically diverse geographical regions has led to hybridization of popular native …

[HTML][HTML] Sharing unwanted sexual experiences online: A cross-platform analysis of disclosures before, during and after the# MeToo movement

M Gorissen, CJW van den Berg, S Ruiter… - Computers in Human …, 2023 - Elsevier
Online disclosure of sexual violence victimisation is a relatively new phenomenon. While
prior research has mainly relied on analysis of Twitter data from the# MeToo period, this …

# suicidal-A multipronged approach to identify and explore suicidal ideation in twitter

PP Sinha, R Mishra, R Sawhney, D Mahata… - Proceedings of the 28th …, 2019 - dl.acm.org
Technological advancements have led to the creation of social media platforms like Twitter,
where people have started voicing their views over rarely discussed and socially …

Speak up, fight back! detection of social media disclosures of sexual harassment

AG Chowdhury, R Sawhney, P Mathur… - Proceedings of the …, 2019 - aclanthology.org
The# MeToo movement is an ongoing prevalent phenomenon on social media aiming to
demonstrate the frequency and widespread of sexual harassment by providing a platform to …

Detecting personal intake of medicine from twitter

D Mahata, J Friedrichs, RR Shah… - IEEE intelligent …, 2018 - ieeexplore.ieee.org
Mining social media messages such as tweets, blogs, and Facebook posts for health and
drug related information has received significant interest in pharmacovigilance research …

ARHNet-leveraging community interaction for detection of religious hate speech in Arabic

AG Chowdhury, A Didolkar, R Sawhney… - Proceedings of the 57th …, 2019 - aclanthology.org
The rapid widespread of social media has lead to some undesirable consequences like the
rapid increase of hateful content and offensive language. Religious Hate Speech, in …

MIDAS at SemEval-2019 task 6: Identifying offensive posts and targeted offense from twitter

D Mahata, H Zhang, K Uppal, Y Kumar… - Proceedings of the …, 2019 - aclanthology.org
In this paper we present our approach and the system description for Sub Task A and Sub
Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social …

The signals and noise: actionable information in improvised social media channels during a disaster

X He, D Lu, D Margolin, M Wang, SE Idrissi… - … of the 2017 ACM on web …, 2017 - dl.acm.org
Web-based social and communication technologies enable citizens to self-organize relief
efforts in response to crises. This work focuses on a question fundamental to the concept of …

Identifying informative tweets during a pandemic via a topic-aware neural language model

W Gao, L Li, X Tao, J Zhou, J Tao - World wide web, 2023 - Springer
Every epidemic affects the real lives of many people around the world and leads to terrible
consequences. Recently, many tweets about the COVID-19 pandemic have been shared …