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Empirical Success in Prebunking

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Manage episode 423769840 series 3474160
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/empirical-success-in-prebunking.
Optimally delivering prebunks minimizes misinformation spread. Algorithm 3 outperforms baselines in simulations, though real-world deviations exist.
Check more stories related to media at: https://hackernoon.com/c/media. You can also check exclusive content about #social-media-misinformation, #prebunking, #news-on-social-networks, #countering-misinformation, #social-media-censorship, #rumor-propagation, #automated-fact-checking, #prebunking-algorithms, and more.
This story was written by: @editorialist. Learn more about this writer by checking @editorialist's about page, and for more stories, please visit hackernoon.com.
The study defines optimal prebunking as a minimax optimization problem. Algorithm 3, validated through simulations on Chung-Lu models, outperforms baseline methods but faces limitations in network structure assumptions and real-world deviations. Future work aims to extend prebunking optimization to entire social networks.

  continue reading

147 episodes

Artwork
iconShare
 
Manage episode 423769840 series 3474160
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/empirical-success-in-prebunking.
Optimally delivering prebunks minimizes misinformation spread. Algorithm 3 outperforms baselines in simulations, though real-world deviations exist.
Check more stories related to media at: https://hackernoon.com/c/media. You can also check exclusive content about #social-media-misinformation, #prebunking, #news-on-social-networks, #countering-misinformation, #social-media-censorship, #rumor-propagation, #automated-fact-checking, #prebunking-algorithms, and more.
This story was written by: @editorialist. Learn more about this writer by checking @editorialist's about page, and for more stories, please visit hackernoon.com.
The study defines optimal prebunking as a minimax optimization problem. Algorithm 3, validated through simulations on Chung-Lu models, outperforms baseline methods but faces limitations in network structure assumptions and real-world deviations. Future work aims to extend prebunking optimization to entire social networks.

  continue reading

147 episodes

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