The TikTok Observatory
This project aims to integrate the monitoring infrastructure developed by Tracking Exposed and Junkipedia to monitor the Tiktok recommendation algorithm This combined experimental pipeline will be used to establish if the recommender system differ
Project Information
- Project ID
- NGI-ATLANTIC:OC05-387
- Contact
- Marc Faddoul (AI Forensics)
- Countries
- france, united states
Related Products
Software or product(s) created or improved through this project
Additional Information
When analysing social media platforms their proprietary recommendation solutions are considered to be “black boxes” The complexity and opacity of those algorithms requires to make an empirical comparison between the suggested contents on the Tiktok Web interface and its Mobile application in order to answer our main research question
To do this we will deploy the Junkipedia Mobile analysis solution combined with TkTrex a software developed by Tracking Exposed As a final deliverable of this project a technical report will be produced It will consider which interface (web or mobile) is more prone to give biased content recommendations to users and if this difference exists we will consider which platform should be more thoroughly analysed
To do this we will deploy the Junkipedia Mobile analysis solution combined with TkTrex a software developed by Tracking Exposed As a final deliverable of this project a technical report will be produced It will consider which interface (web or mobile) is more prone to give biased content recommendations to users and if this difference exists we will consider which platform should be more thoroughly analysed
End-User Relevance
Our overall goal is to create an open-source and accessible infrastructure to monitor the ongoing censorship trends on TikTok The end goal is to create an application where users journalists and NGOs can monitor a specific topic on TikTok
Disclaimer: This experiment is currently underway
Community Discussion 3 comments
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