K Hartwig, F Doell, C Reuter - ACM Computing Surveys, 2024 - dl.acm.org
Misinformation is one of the key challenges facing society today. User-centered misinformation interventions as digital countermeasures that exert a direct influence on …
Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …
Social media platforms have been establishing content moderation guidelines and employing various moderation policies to counter hate speech and misinformation. The goal …
A fundamental issue in healthcare misinformation detection is the lack of timely resources (eg, medical knowledge, annotated data), making it challenging to accurately detect …
Social media feeds are deeply personal spaces that reflect individual values and preferences. However, top-down, platform-wide content algorithms can reduce users' sense …
As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important to consider AI's ethical and societal implications. In this paper, we present a bottom-up …
YL Hsu, SC Dai, A Xiong, LW Ku - arXiv preprint arXiv:2310.17711, 2023 - arxiv.org
With advancements in natural language processing (NLP) models, automatic explanation generation has been proposed to mitigate misinformation on social media platforms in …
Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact …
H Seo, S Lee, D Lee, A Xiong - … of the International AAAI Conference on …, 2024 - ojs.aaai.org
To mitigate misinformation on social media, platforms such as Facebook have offered warnings to users based on the detection results of AI systems. With the evolution of AI …