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Found 6 papers, 2 papers with code
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
Existing works examining Vision-Language Models (VLMs) for social biases predominantly focus on a limited set of documented bias associations, such as gender:profession or race:crime.
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
We propose a unique debiasing technique, Social Contact Debiasing (SCD), that instruction-tunes these models with unbiased responses to prompts.
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages
Finally, we highlight the significance of these social biases and the new dimensions through an extensive comparison of embedding methods, reinforcing the need to address them in pursuit of more equitable language models.
The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising
Social media has been a powerful tool and an integral part of communication, especially during natural disasters.
Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective
It is the need of the hour to identify rumors as soon as they appear online.
A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks
This review primarily deals with multi-modal fake news detection techniques that include images, videos, and their combinations with text.
