Our project explores the mental health discourse on TikTok in three languages - English, Portuguese, and Arabic to examine linguistic and visual differences in how mental health-related topics are presented. The platform's popularity with children and young adults offers a unique opportunity to identify the popular accounts receiving the most engagement and the types of messages and topics highlighted across three languages. While attention on social media is difficult to measure precisely, given multiple measurements available on Twitter/X or Facebook, and Instagram to indicate engagement, TikTok's algorithm-driven content presentation based on an individual's indicated preferences and previously liked content gives a more precise understanding of what content is going viral or getting attention.
The student will learn to use various computational tools to collect TikTok videos and Video AI by Google to recognize objects, places, and actions in the videos, extract transcripts for topic modeling, and further content analysis. The student facilitator will learn how to use the URI UNITY cluster effectively for analysis and work with the research team to complete the project in a timely manner.
Project Information Subsection
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Some hands-on experience
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University of Rhode Island -- Harrington School
Rhode Island
CR-University of Rhode Island
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Yes
Already behind3Start date is flexible
6
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Milestone Title: Milestone #1 Milestone Description: determine project scope, HPC access, launch presentation, set up project on github. Completion Date Goal: 2024-01-15
Milestone Title: Milestone #2 Milestone Description: organize data set, and finalize relational database schema. Completion Date Goal: 2024-02-15
Milestone Title: Milestone #3 Milestone Description: complete data analysis Completion Date Goal: 2024-05-15
Milestone Title: Milestone #4 Milestone Description: wrap up project, update project git and documentation, wrap presentation. Completion Date Goal: 2024-07-15