Bots amplify and redirect hate speech in online discourse about racism during the COVID-19 pandemic

J Uyheng, D Bellutta, KM Carley - Social Media+ Society, 2022 - journals.sagepub.com
Online talk about racism has been salient throughout the COVID-19 pandemic. Yet while
such social media conversations reflect existing tensions in the offline world, the same …

Fear, stigma and othering: The impact of COVID-19 rumours on returnee migrants and muslim populations of Nepal

PR Regmi, S Dhakal Adhikari, N Aryal… - International Journal of …, 2022 - mdpi.com
The paper explores how COVID-19-related moral panics have led to fear and othering
practices among returnee Nepalese migrants from India and Muslims living in Nepal. This …

Predicting the hate: A Gstm model based on Covid-19 hate speech datasets

XK Wu, TF Zhao, L Lu, WN Chen - Information Processing & Management, 2022 - Elsevier
COVID-19 crisis has been accompanied by copious hate speeches widespread on social
media. It reinforces the fragmentation of the world, resulting in more significant racial …

What's the News About Bad News? A Review of Bad News Games as a Tool to Teach Media Literacy

R Barabas - Libri, 2023 - degruyter.com
This paper examines the Bad News series of games, created by the Cambridge University
Social Decision Making Lab and DROG Group, as an educational tool. More specifically, it …

Effects of# coronavirus content moderation on misinformation and anti-Asian hate on Instagram

T Hong, Z Tang, M Lu, Y Wang, J Wu… - new media & …, 2023 - journals.sagepub.com
This study evaluated the intended and unintended effects of Instagram's content moderation
on# coronavirus for both the short-and long-term effects on misinformation and anti-Asian …

Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches

SH Jang, S Youm, YJ Yi - Race and Justice, 2023 - journals.sagepub.com
The current study attempts to compare anti-Asian discourse before and during the COVID-19
pandemic by analyzing big data on Quora, one of the most frequently used community …

Machine learning-based identifications of COVID-19 fake news using biomedical information extraction

F Fifita, J Smith, MB Hanzsek-Brill, X Li… - Big Data and Cognitive …, 2023 - mdpi.com
The spread of fake news related to COVID-19 is an infodemic that leads to a public health
crisis. Therefore, detecting fake news is crucial for an effective management of the COVID …

Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers

E Hashmi, SY Yayilgan - Complex & Intelligent Systems, 2024 - Springer
The growth of social networks has provided a platform for individuals with prejudiced views,
allowing them to spread hate speech and target others based on their gender, ethnicity …

[HTML][HTML] # StopAsianHate: A content analysis of TikTok videos focused on racial discrimination against Asians and Asian Americans during the COVID-19 pandemic

ET Jacques, CH Basch, J Fera, V Jones II - Dialogues in Health, 2023 - Elsevier
This cross-sectional, descriptive study conducted in January 2022 reviewed 100 TikTok
videos using the hashtag# StopAsianHate. Categoriesof Asian and Asian American …

Enhancing hate speech detection with user characteristics

R Raut, F Spezzano - International Journal of Data Science and Analytics, 2024 - Springer
Social media provide users with a powerful platform to share their ideas. Using one's right to
expression to incite hate toward a particular group of people is inappropriate. However, hate …