Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube
<|reference_start|>Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube: Recommendation algorithms (RS) used by social media, like YouTube, significantly shape our information consumption across various domains, especially in healthcare. Hence, algorithmic auditing becomes crucial to uncover their potential bias and misinformation, particularly in the context of controversial topics like abortion. We introduce a simple yet effective sock puppet auditing approach to investigate how YouTube recommends abortion-related videos to individuals with different backgrounds. Our framework allows for efficient auditing of RS, regardless of the complexity of the underlying algorithms<|reference_end|>
@article{lahsaini2024auditing,
    title={Auditing health-related recommendations in social media: A Case Study of
  Abortion on YouTube},
    author={Mohammed Lahsaini, Mohamed Lechiakh, Alexandre Maurer},
    journal={arXiv preprint arXiv:2404.07896},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.07896},
    primaryClass={cs.SI cs.IR}
}