Anatomy of a Footprint Report: What Every Risk Label Actually Means

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canonical_url: https://digital-footprint-health.shop/blog/anatomy-of-a-footprint-report
title: Anatomy of a Footprint Report: What Every Risk Label Actually Means
tags:

• privacy
• twitter

- digital-footprint

If you have ever exported your X (Twitter) archive and stared at a privacy report, you have probably hit the same wall: a list of labels (phone, email, address, location, sensitive topic) and no clue which ones matter. This post is the decoder.

A footprint report is generated by parsing your X data export entirely on your device. It never calls X's API to pull fresh data. Two numbers carry the weight: a 0-100 health score (higher is safer) and a per-label count of flagged tweets. Everything else is the per-tweet list, sorted by severity.

The report has four sections worth knowing: the header shows the score and total flagged count; the category breakdown groups flags so you can see whether your risk is contact info, location, or content; the tweet list puts the worst posts first; and the filter bar lets you narrow by label, year, or keyword.

The risk labels are pattern-matching guesses, not verdicts. The practical read: phone, email, and address are high risk and concrete, so fix those first. Location is medium and reveals your routine. Sensitive topic is medium and matters most when you are job hunting or in a visible role.

Most flagged posts are old. Twitter keeps your history indexed for years, so a 2015 tweet with your old address is still findable through Google today. The report surfaces what you forgot you posted.

The report is read-only. It does not delete anything. Deleting is a separate, optional, tweet-by-tweet step. And because parsing is on-device, the report works offline and is never uploaded.

Full walkthrough with the risk-label table: https://digital-footprint-health.shop/blog/anatomy-of-a-footprint-report