EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media

E Mahajan, H Mahajan, S Kumar - Expert Systems with Applications, 2024 - Elsevier
Nowadays, users across the globe interact with one another for information exchange,
communication, and association on various online social media. However, some individuals …

Fuser: An enhanced multimodal fusion framework with congruent reinforced perceptron for hateful memes detection

F Wu, B Gao, X Pan, L Li, Y Ma, S Liu, Z Liu - Information Processing & …, 2024 - Elsevier
As a multimodal form of hate speech on social media, hateful memes are more aggressive
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …

The impact factors of social media users' forwarding behavior of COVID-19 vaccine topic: based on empirical analysis of Chinese Weibo users

K Sun, H Wang, J Zhang - Frontiers in Public Health, 2022 - frontiersin.org
Introduction Social media, an essential source of public access to information regarding the
COVID-19 vaccines, has a significant effect on the transmission of information regarding the …

Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread

XK Wu, YY Zhou, B Zhong - Telematics and Informatics, 2024 - Elsevier
User interaction within social media groups is increasingly vital for offering social support to
individuals experiencing mental health issues. However, measuring social support in these …

Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic

XK Wu, G Gu, TT Xie, TF Zhao, C Min - Humanities and Social Sciences …, 2024 - nature.com
The global pandemic has dramatically reshaped public discourse, with social media
emerging as a pivotal platform for these discussions. This study delves into evolving …

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study

K Sun, TF Zhao, XK Wu, L Yang, D Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Emerging infectious diseases pose a growing threat to human society and have sparked
extensive public discussions on social media. Although numerous efforts have been made …

Data-Driven Regression Modeling for Measuring the Influence of Infodemic over Social Media

TF Zhao, LL Zhang, ZX Zhang… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The infodemic, which encompasses rumors, fake news, disinformation, and misinformation,
has resulted in significant collateral damage alongside epidemics. However, the main …

Artificial intelligence inspired method for cross-lingual cyberhate detection from low resource languages

M Kaur, M Saini - ACM Transactions on Asian and Low-Resource …, 2024 - dl.acm.org
The appearance of inflammatory language on social media by college or university students
is quite prevalent, inspiring platforms to engage in community safety mechanisms …

Selling hope versus hate: the impact of partisan social media messaging on social distancing during the COVID-19 pandemic

R Govind, N Garg, L Carter - European Journal of Marketing, 2024 - emerald.com
Purpose This study aims to examine the role of hope and hate in political leaders' messages
in influencing liberals versus conservatives' social-distancing behavior during the COVID-19 …

[HTML][HTML] FDNet: Focal Decomposed Network for efficient, robust and practical time series forecasting

L Shen, Y Wei, Y Wang, H Qiu - Knowledge-Based Systems, 2023 - Elsevier
This paper presents FDNet: a Focal Decomposed Network for efficient, robust and practical
time series forecasting. We break away from conventional deep time series forecasting …