Summary of A Picture Is Worth 500 Labels: a Case Study Of Demographic Disparities in Local Machine Learning Models For Instagram and Tiktok, by Jack West et al.
A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok
by Jack West, Lea Thiemt, Shimaa Ahmed, Maggie Bartig, Kassem Fawaz, Suman Banerjee
First submitted to arxiv on: 27 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Cryptography and Security (cs.CR); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the user insights extracted by machine learning (ML) models from images and videos on popular social media apps, TikTok and Instagram. The authors analyze how these models infer information about users and whether they exhibit performance disparities based on demographics. As these ML models are used for sensitive technologies like age verification and facial recognition, understanding potential biases is crucial for ensuring equitable and accurate services. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how smartphone apps use machine learning to learn things about their users from the images and videos they share. The researchers examined two popular apps, TikTok and Instagram, to see what insights these models can gather and if there are any differences in performance based on the user’s age, gender, or location. This is important because this type of technology could be used for things like verifying people’s ages or recognizing their faces. |
Keywords
* Artificial intelligence * Machine learning
