Beauty-Detecting Algorithms

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This Algorithm Can Accurately Predict the Success of Aspiring Models

Researchers at Indiana State University have developed an algorithm that can accurately predict the success of aspiring models.

Fashion modeling is a notoriously difficult industry to break into. Success depends mainly on the gut instinct and attention of top people at top labels. The algorithm takes into account the statistics that these deciding voices tend to favor -- mainly physical characteristics of the aspiring models, as well as which agency represents them. However, an extra layer was added to the algorithm: the Instagram success of the aspiring models in question. The researchers found that the number of comments on the aspiring models' Instagram photos corresponded to a higher rate of success, while a high number of likes was actually a predictor of lower success.

The algorithm was able to identify six out of the eight models who were cast in this year's New York Fashion Week -- proving that beauty is more objective than we are led to believe.
Trend Themes
1. Instagram Success as a Success Predictor - The algorithm that corresponds aspiring models' Instagram comments with a higher rate of success opens opportunities to enhance social media use in decision-making.
2. Artificial Intelligence in the Modeling Industry - The algorithm's ability to analyze and identify physical characteristics and agency representation of aspiring models to predict success presents opportunities for AI application in fashion modeling.
3. Objective Beauty Standards - The algorithm's ability to identify successful models based on physical characteristics can encourage the modeling industry to adopt more objective beauty standards and promote inclusivity.
Industry Implications
1. Fashion Modeling - The algorithm's ability to predict the success of aspiring models can streamline the decision-making process of fashion labels and agencies.
2. Social Media - The algorithm's use of Instagram metrics as a success predictor can encourage aspiring models to utilize social media and build their online presence to increase their chances of success.
3. Artificial Intelligence - The algorithm's ability to predict the success of aspiring models can pave the way for AI adoption in other industries that rely on subjective decision-making processes.

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