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Aggregation & Coarsening

Framework & ModelData, Privacy & MeasurementGeneral Sensitivity

Privacy techniques that summarize data (aggregation) or reduce precision (coarsening) to lower re-identification risk.

What This Really Means

Often shows up as deciding what information is shared and how it’s protected.

It’s shaped by sensitivity of the topic, audience, and consent.

Examples

Example: Sharing only what’s needed

Another example: Keeping sensitive details private

Common Misunderstandings

Tap each myth to reveal the reality

Reality

More accurately, Aggregation & Coarsening refers to privacy techniques that summarize data (aggregation) or reduce precision (coarsening) to lower re-identification risk, and numbers capture the whole truth doesn’t follow from that.

Reality

More accurately, Aggregation & Coarsening refers to privacy techniques that summarize data (aggregation) or reduce precision (coarsening) to lower re-identification risk, and privacy and safety are optional doesn’t follow from that.

Tags

#privacy#data-privacy-measurement#framework-model

Inside LoveIQ

We identify patterns related to Aggregation & Coarsening by analyzing responses in our assessment modules, helping you understand your unique relationship dynamics.

Sample visualization of a gap metric.

“You don't need to label yourself. These terms help describe patterns — not define you.”

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