Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Ng, Lynnette Hui Xian"'
Effective public health messaging benefits from understanding antecedents to unstable attitudes that are more likely to be influenced. This work investigates the relationship between moral and emotional bases for attitudes towards COVID-19 vaccines a
Externí odkaz:
http://arxiv.org/abs/2407.19406
Large Language Models (LLMs) have demonstrated remarkable capabilities in executing tasks based on natural language queries. However, these models, trained on curated datasets, inherently embody biases ranging from racial to national and gender biase
Externí odkaz:
http://arxiv.org/abs/2407.17688
Online multiplayer games like League of Legends, Counter Strike, and Skribbl.io create experiences through community interactions. Providing players with the ability to interact with each other through multiple modes also opens a Pandora box. Toxic b
Externí odkaz:
http://arxiv.org/abs/2407.04383
Autor:
Lim, Adrian Xuan Wei, Ng, Lynnette Hui Xian, Kyger, Nicholas, Michigami, Tomo, Baghernezhad, Faraz
Radiance fields produce high fidelity images with high rendering speed, but are difficult to manipulate. We effectively perform avatar texture transfer across different appearances by combining benefits from radiance fields and mesh surfaces. We repr
Externí odkaz:
http://arxiv.org/abs/2406.11570
During the COVID-19 pandemic, the proliferation of misinformation on social media has been rapidly increasing. Automated Bot authors are believed to be significant contributors of this surge. It is hypothesized that Bot authors deliberately craft onl
Externí odkaz:
http://arxiv.org/abs/2406.07293
Bots are automated social media users that can be used to amplify (mis)information and sow harmful discourse. In order to effectively influence users, bots can be generated to reproduce human user behavior. Indeed, people tend to trust information co
Externí odkaz:
http://arxiv.org/abs/2406.05246
There is a prevailing perception that content on a social media platform generally have the same political leaning. These platforms are often viewed as ideologically congruent entities, reflecting the majority opinion of their users; a prime example
Externí odkaz:
http://arxiv.org/abs/2406.03354
Web 3.0 focuses on the decentralization of the internet and creating a system of interconnected and independent computers for improved privacy and security. We extend the idea of the decentralization of the web to the social media space: whereby we a
Externí odkaz:
http://arxiv.org/abs/2404.15509
Stance detection of social media text is a key component of downstream tasks involving the identification of groups of users with opposing opinions on contested topics such as vaccination and within arguments. In particular, stance provides an indica
Externí odkaz:
http://arxiv.org/abs/2403.03334
The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by an infodemic. A group of 12 social media personalities, dubbed the ``Disinformation Dozen", were identified as key in spreading disinformation regarding the COVID-
Externí odkaz:
http://arxiv.org/abs/2402.14203