From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency
Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil,, Mario Fritz, Rakibul Hasan

TL;DR
This paper proposes a planned experiment to examine how private personal data can be exploited to target individuals with disinformation, potentially increasing the efficiency of disinformation spread on online platforms.
Contribution
It introduces a novel experimental framework to study the use of private data for targeted disinformation dissemination, highlighting potential risks and policy implications.
Findings
Potential for increased disinformation spread efficiency
Risks associated with private data exploitation
Implications for online platform policies
Abstract
We outline a planned experiment to investigate if personal data (e.g., demographics and behavioral patterns) can be used to selectively expose individuals to disinformation such that an adversary can spread disinformation more efficiently compared to broadcasting the same information to everyone. This mechanism, if effective, will have devastating consequences as modern technologies collect and infer a plethora of private data that can be abused to target with disinformation. We believe this research will inform designing policies and regulations for online platforms.
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Taxonomy
TopicsMedia Influence and Politics · Misinformation and Its Impacts · Privacy, Security, and Data Protection
