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Refining an epilepsy dictionary for social media

Published on:

14 May 2024

Primary Category:

Computation and Language

Paper Authors:

Aehong Min,

Xuan Wang,

Rion Brattig Correia,

Jordan Rozum,

Wendy R. Miller,

Luis M. Rocha

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Key Details

Built epilepsy dictionary from medical sources

Matched terms in 8+ million Instagram posts

Humans evaluated term match accuracy in sample posts

Identified 8 frequent but ambiguous terms

Removing those terms improved network analysis

AI generated summary

Refining an epilepsy dictionary for social media

Researchers built an epilepsy dictionary from medical sources to analyze Instagram posts. They had human annotators evaluate dictionary term matches and found 8 frequent but ambiguous terms. After removing those terms, network analysis showed improved identification of medically relevant terms in the social media cohort.

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