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Privacy Guide2026-08-16

Bulk Delete Old Tweets: The Complete Walkthrough

How to bulk delete thousands of old tweets: download your archive, parse it locally, filter by risk, delete in batches, and verify. A step-by-step walkthrough for first-time cleaners.

Privacy Guide2026-08-16

How Much Does Tweet Deletion Cost? Per-Tweet Pricing

What does bulk tweet deletion actually cost? Breaking down per-tweet pricing, subscriptions vs one-time packages, and what free options can do, so you never get hit by hidden fees.

Privacy Guide2026-08-16

Pause, Resume, Refund: Deletion That Puts You in Control

Can you pause a deletion task halfway? Get a refund if something goes wrong? This post explains pause, resume, and refund mechanisms for tweet deletion, so you spend with confidence.

Privacy Guide2026-08-15

Which Tweets Should You Clean? Rank by Risk

Going through twenty thousand tweets one by one would drive anyone mad. Deleting tweets should not run on feelings; it should run on priority. This tiered framework ranks P0 identity-exposing tweets first, then P1 location-routine traces, then P2 career-sensitive posts, so you clean the dangerous ones first.

Privacy Guide2026-08-15

Every Risk Label in Your Report, Explained

Phone, email, address, location, sensitive topic: every risk label in a footprint report has a clear trigger and a risk level. This guide explains each label, what triggers it, and what action it recommends, so you can read your report and know what to clean first.

Privacy Guide2026-08-15

How Your 0-100 Health Score Is Calculated in 1 Minute

How is the 0-100 health score actually calculated? Four dimensions combine into one number: risky tweet ratio, high-risk category weights, time decay, and volume impact. A low score does not mean you must delete; it only shows where your risk concentrates.

Privacy Guide2026-08-14

Anatomy of a Footprint Report: Every Risk Label Decoded

A footprint report turns years of old tweets into one privacy score and a list of flagged posts. This guide decodes every section and each risk label (phone, email, address, location, sensitive topic), and tells you what to clean first.

社交安全2026-08-13

Cancel Culture 101: When Old Tweets Get Excavated

One five-year-old tweet can tank a million-follower account overnight. Tweet excavation is not an influencer-only problem, anyone with a public account is exposed. This post covers the full pipeline, why deleting does not help, and how to press the risk down.

求职安全2026-08-12

How Old Tweets Cost People Their Jobs

One old tweet can end a job candidacy in a single click. Old tweets getting people fired is not a meme, it is a real part of modern hiring background checks. This post covers how it happens, what HR actually searches, and the cleanup moves you can make today.

Privacy Guide2026-08-11

100% On-Device Analysis: What It Means for You

When your X archive (tweets.js) gets parsed, does the file leave your computer? Digital Footprint Health runs on-device analysis: the entire parse happens locally, tweets.js is never uploaded, stored, or routed through any server. Here is what that actually means.

Privacy Guide2026-08-10

Addresses and Locations: The Riskiest Old Tweets

Location tweets stack: one location tweet plus one work tweet plus one birthday tweet maps your life radius. How the check finds them, why they are riskier than they look, and how to clean up.

Privacy Guide2026-08-09

Is Your Phone Number in Your Tweets? How the Check Finds It

Your phone number may be sitting inside a tweet from a decade ago, and you have probably forgotten it exists. How the check finds it across thousands of old tweets, how it handles false positives, and what to do once it is found.

Privacy Guide2026-08-08

Your 0-100 Score: How Healthy Is Your Digital Footprint?

The core output of a digital footprint check is a 0-100 health score. Deductions come from exposed phone numbers, emails, home addresses, check-ins, and sensitive topics. This post explains how the score works, what costs you points, and how to get it back up.

Privacy Guide2026-08-07

Why Can You Only Delete 3,200 Tweets? The Wall and How to Beat It

X's delete path only touches your most recent 3,200 tweets — older history is unreachable in the UI. Your data archive contains everything, though, and batch-deleting from the archive is the legitimate way around the wall.

Privacy Guide2026-08-06

What's Inside the X Archive? tweets.js Explained

After you download your X archive, tweets.js is the file that matters — structured JSON of every tweet you ever posted. This post breaks down its internal format and how a privacy check reads it.

Privacy Guide2026-08-05

How to Download Your X Data Archive (2026, 4 Steps)

Your X (Twitter) data archive is the only way to clean up tweets older than the ~3,200-tweet limit and to run a privacy check. This tutorial walks you through the 4 steps to download your full X data ZIP and what is inside it.

Privacy Guide2026-08-04

What Is a Digital Footprint Check for Your X Account?

Your tweets on X (Twitter) may carry privacy traces like phone numbers, home addresses, and locations — that is your digital footprint. A digital footprint check parses your X archive on-device and produces a 0-100 health score plus a risk list. 100% on-device: your data never leaves your computer.

Privacy Guide2026-07-27

How to Delete Old Tweets on X (Twitter) — The Complete 2026 Guide

Want to bulk-delete those old, embarrassing tweets on X/Twitter? This guide breaks down 5 methods — from manual deletion to local archive parsing — to help you find the safest, most efficient approach.