How Digital Footprint Tools Read Your Data and What Stays on Your Device
Digital footprint check tools analyze exported social media archives to generate privacy risk scores, drawing primarily on post history, direct messages, IP records, and linked contact details. The core scoring relies on pattern matching within tweet history to flag phone numbers, emails, addresses, and sensitive topics, while other files serve as cross-checks to strengthen or contextualize findings. Certain data categories — such as ad engagement records, follower lists, and device tokens — are deliberately excluded to avoid inflating results or involving third-party data. All parsing, file reading, and scoring processes run locally on the user's device, with post content never transmitted over the network; only post deletion requires an authorized API connection. Discrepancies between expected and reported item counts are typically explained by the archive's snapshot date or the inclusion of previously deleted content.
