15 citations · 17 across the 8 of their papers we have counts for
10 papers
Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies
Xiaodan Wang, Yanbin Liu, Shiqing Wu +4
The proliferation of online social networks has significantly reshaped the way individuals access and engage with information. While these platforms offer unprecedented connectivit…
TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models
Chong Lyu, Lin Li, Shiqing Wu +1
The increasing utilization of large language models raises significant concerns about the propagation of social biases, which may result in harmful and unfair outcomes. However, ex…
The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerability
Zijie Xu, Minfeng Qi, Shiqing Wu +4
Multi-agent systems powered by large language models are advancing rapidly, yet the tension between mutual trust and security remains underexplored. We introduce and empirically va…
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
Mengyan Wang, Yuxuan Hu, Shiqing Wu +3
While preference-based recommendation algorithms effectively enhance user engagement by recommending personalized content, they often result in the creation of ``filter bubbles''.…
BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
Mengyan Wang, Yuxuan Hu, Zihan Yuan +4
In the realm of personalized recommendation systems, the increasing concern is the amplification of belief imbalance and user biases, a phenomenon primarily attributed to the filte…
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Mengyan Wang, Weihua Li, Jingli Shi +2
Online social media platforms offer access to a vast amount of information, but sifting through the abundance of news can be overwhelming and tiring for readers. personalised recom…
Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)
Qing Liu, Wenli Yang, Shiqing Wu
Over the past two decades, PKAW has provided a forum for researchers and practitioners to discuss the state-of-the-arts in the area of knowledge acquisition and machine intelligenc…
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
Shiqing Wu, Weihua Li, Quan Bai
In recent years, many applications have deployed incentive mechanisms to promote users' attention and engagement. Most incentive mechanisms determine specific incentive values base…
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
Shiqing Wu, Weihua Li, Hao Shen +1
In recent years, recommendation systems have been widely applied in many domains. These systems are impotent in affecting users to choose the behavior that the system expects. Mean…
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
Weihua Li, Yuxuan Hu, Shiqing Wu +2
A key step in influence maximization in online social networks is the identification of a small number of users, known as influencers, who are able to spread influence quickly and…