Xiao-Kun Wu
Biographic Data
| ID | 8804115 |
|---|---|
| NAME | Xiao-Kun Wu |
| GIVEN NAMES | Xiao-Kun |
| FAMILY NAME | Wu |
| SIGNATURE | WU X |
| AFFILIATIONS | South China University of Technology |
| ORCID | 0000-0003-3843-0164 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
HateMediator: Fine-Tuning Large Language Models for Counter-Hate Speech via Multiturn Mediations
The proliferation of hate speech on social media presents an escalating threat to both public discourse and individual mental well-being. Traditional strategies that prioritize detection and removal often neglect to engage directly with hate speakers or address the underlying causes of their hostility. This article proposes HateMediator , a dialogue-based intervention framework that fine-tunes large language models (LLMs) to generate persuasive, …
Selective permeability in interdisciplinary knowledge organization: Evidence from communication studies
Unveiling evolving nationalistic discourses on social media: A cross-year analysis in pandemic
The global pandemic has dramatically reshaped public discourse, with social media emerging as a pivotal platform for these discussions. This study delves into evolving sentiments, emotions, and prevalent topics in online discussions spanning the years 2020, 2021, and 2022, drawing from a dataset of 2.65 million tweets from the Twitter Platform. A multifaceted approach that combines quantitative and qualitative methods are developed for dissecting…
Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study
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 in health data mining on social media, there is a lack of focus on quantitative comparisons across multiple platforms, despite their crucial role in the holistic social communication system. This study addresses this gap by developing a generalized regression model that conside…
Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread
Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences
The formation of information cocoons, driven by limited disclosure and individual preferences, has resulted in the polarization of society. However, the underlying mechanisms and pathways to escape these cocoons remain unresolved. This article aims to solve it by developing an adaptive imitation process. In this process, the measurement of information cocoons across the population is based on Shannon’s information entropy, taking into account nei…
No prominent works on this page.
Unveiling evolving nationalistic discourses on social media: A cross-year analysis in pandemic
The global pandemic has dramatically reshaped public discourse, with social media emerging as a pivotal platform for these discussions. This study delves into evolving sentiments, emotions, and prevalent topics in online discussions spanning the years 2020, 2021, and 2022, drawing from a dataset of 2.65 million tweets from the Twitter Platform. A multifaceted approach that combines quantitative and qualitative methods are developed for dissecting…
Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study
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 in health data mining on social media, there is a lack of focus on quantitative comparisons across multiple platforms, despite their crucial role in the holistic social communication system. This study addresses this gap by developing a generalized regression model that conside…
Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread
Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences
The formation of information cocoons, driven by limited disclosure and individual preferences, has resulted in the polarization of society. However, the underlying mechanisms and pathways to escape these cocoons remain unresolved. This article aims to solve it by developing an adaptive imitation process. In this process, the measurement of information cocoons across the population is based on Shannon’s information entropy, taking into account nei…
HateMediator: Fine-Tuning Large Language Models for Counter-Hate Speech via Multiturn Mediations
The proliferation of hate speech on social media presents an escalating threat to both public discourse and individual mental well-being. Traditional strategies that prioritize detection and removal often neglect to engage directly with hate speakers or address the underlying causes of their hostility. This article proposes HateMediator , a dialogue-based intervention framework that fine-tunes large language models (LLMs) to generate persuasive, …
Selective permeability in interdisciplinary knowledge organization: Evidence from communication studies
Computer Science (4 works) · Misinformation and Its Impacts (3 works) · Psychology (3 works) · Social media (3 works) · Social Psychology (3 works) · Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Hate Speech and Cyberbullying Detection (2 works) · Political science (2 works) · Public opinion (2 works)