Create a privacy education tool that helps users understand how seemingly harmless pieces of information can combine to reveal sensitive patterns about a person.
Let users enter fictional public profile details, such as a job title, posting schedule, travel updates, public photographs described in text, and recurring location references. Visualize how each data point contributes to potential inferences when combined with others.
Build:
An interactive information-linkage graph.
A timeline showing how separate posts can reveal behavioral patterns.
A privacy exposure score with an explanation for every factor.
A what-if simulator for removing, generalizing, or delaying information.
Safer alternative examples for public profile descriptions and posts.
A before-and-after comparison of exposure levels.
Use fictional data only. Do not search for or profile real people, identify private individuals, or infer sensitive attributes. Make the tool educational rather than exploitative, and explain uncertainty instead of presenting speculative inferences as facts.
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