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Ghostery: History, Applications & Companies

Ghostery is a free and open-source privacy and security-related browser extension and mobile browser application. Since February 2017, it has been owned by the German company Cliqz International GmbH (formerly owned by Evidon, Inc., which was previously called Ghostery, Inc. and the Better Advertising Project). The code was originally developed by David…

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Ghostery topic overview

The analysis highlights History, Applications and Companies as prominent areas in the source structure around Ghostery.

Related topics
34
Source areas
3
Connected nodes
37
Extracted relationships
60
Concept neighborhoods
17
Bridge connections
37

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 24 topics
History and use · 7 topics
Criticism · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
David Cancel Christopher Tino José María Signanini Serge Zarembsky Patrick Lawler Caleb Richelson
License
MPL 2.0
Operating system
Browser extension · Android · iOS
Release
2009; 17 years ago (2009)
Repository
github.com/ghostery/ghostery-extension
Stable release
Browser extension: 10.5.57 / 18 August 2026 · Android: 2.4 / March 21, 2019; 7 years ago (2019-03-21) · iOS: 2.1.0 / October 30, 2018; 7 years ago (2018-10-30)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History and use

Criticism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Ghostery connects Entity context

The extracted context around Ghostery shows recurring relationship patterns in the source. For example, Ghostery → Cliqz, Cliqz GmbH, David Cancel, Edward Snowden, EULA, Evidon, Evidon Inc, February, German, Hubert Burda Media, In, Inc, January, On February, Originally Another extracted example is Ghostery → Do Not Track, Evidon, Evidon's, GhostRank, Jonathan Mayer, Not, Stanford, Under. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ghostery

Top relations

related to history · 15
Ghostery → Cliqz, Cliqz GmbH, David Cancel, Edward Snowden, EULA, Evidon, Evidon Inc, February, German, Hubert Burda Media, In, Inc, January, On February, Originally
related to Criticism · 8
Ghostery → Do Not Track, Evidon, Evidon's, GhostRank, Jonathan Mayer, Not, Stanford, Under
related to Blocking · 7
Ghostery → Blocking, Continuously, Creating, HTTP, Internet, These, Whitelists
Operating system · 3
Ghostery → Android, Browser extension, iOS
Stable release · 3
Ghostery → Android: 2.4 / March 21, 2019; 7 years ago (2019-03-21), Browser extension: 10.5.57 / 18 August 2026, iOS: 2.1.0 / October 30, 2018; 7 years ago (2018-10-30)
related to Anti-Tracking · 3
Ghostery → Added, AI, Cliqz
related to Reporting · 2
Ghostery → Ghostery Icon, When
Developers · 1
Ghostery → David Cancel Christopher Tino José María Signanini Serge Zarembsky Patrick Lawler Caleb Richelson
License · 1
Ghostery → MPL 2.0
Release · 1
Ghostery → 2009; 17 years ago (2009)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

privacy browser data cliqz evidon company tracking blocking user gmbh inc called advertising trackers cookies also extension david cancel ios

Ghostery relationships Subject–Predicate–Object triples

TTTA extracted 60 structured relationships around Ghostery. Examples in this analysis include Ghostery → Developers → David Cancel Christopher Tino José María Signanini Serge Zarembsky Patrick Lawler Caleb Richelson and Ghostery → License → MPL 2.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
GhosteryDevelopersDavid Cancel Christopher Tino José María Signanini Serge Zarembsky Patrick Lawler Caleb Richelson1.00infobox
GhosteryLicenseMPL 2.01.00infobox
GhosteryOperating systemBrowser extension1.00infobox
GhosteryOperating systemAndroid1.00infobox
GhosteryOperating systemiOS1.00infobox
GhosteryRelease2009; 17 years ago (2009)1.00infobox
GhosteryRepositorygithub.com/ghostery/ghostery-extension1.00infobox
GhosteryStable releaseBrowser extension: 10.5.57 / 18 August 20261.00infobox
GhosteryStable releaseAndroid: 2.4 / March 21, 2019; 7 years ago (2019-03-21)1.00infobox
GhosteryStable releaseiOS: 2.1.0 / October 30, 2018; 7 years ago (2018-10-30)1.00infobox
GhosteryWebsitewww.ghostery.com1.00infobox
Ghosteryis afree and open-source privacy and security-related browser extension and mobile browser application0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ghostery bring nearby vocabulary together. In this analysis, examples include Browser, Evidon and Inc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ghostery
    • Browser
    • Evidon
    • Inc
    • Cliqz
    • Extension
    • February
    • Source
    • Called
    • Gmbh
    • Trackers
    • Tracking
    • Data
  • ghostery
    • Browser
    • Evidon
    • Inc
    • Cliqz
    • Extension
    • February
    • Source
    • Called
    • Gmbh
    • Trackers
    • Tracking
    • Data
  • browser extension
    • Extension
    • Ghostery
    • Android
    • Ios
    • Mobile
    • Tracking
    • Cancel
    • David
    • February
    • Scripts
    • Source
    • Use
  • evidon, inc.
    • Inc
    • February
    • Advertising
    • Called
    • Gmbh
    • Ghostery
    • Software
    • Source
    • German
    • Cancel
    • Cookie
    • David
  • david cancel
    • David
    • Android
    • Ios
    • Code
    • Extension
    • Scripts
    • Source
    • Use
    • Also
    • Blocking
    • Inc
    • Third-party
  • general data protection regulation
    • Back
    • Use
    • User
    • Ios
    • Ghostery
    • Blocked
    • David
    • Extension
    • New
    • Scripts
    • Source
    • Business
  • android
    • Ios
    • Cancel
    • David
    • Extension
    • Scripts
    • Source
    • Use
    • Also
    • Blocking
    • Third-party
    • Tracking
    • User
  • firefox for android
    • Ios
    • Cancel
    • David
    • Extension
    • Scripts
    • Source
    • Use
    • Also
    • Blocking
    • Third-party
    • Tracking
    • User

Connections between topic areas Semantic bridges

For Ghostery, one of the stronger structural bridges in this analysis connects Ghostery with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Ghostery — Overview · splits 13 ⟂ 25
Ghostery — History and use · splits 30 ⟂ 8
Ghostery — Criticism · splits 34 ⟂ 4

Map overview Semantic statistics

Ghostery

Nodes38
Edges37
Triples60
Avg. degree1.95
Density0.052632
Components1

Source & methodology

TTTA analyzes the structure around Ghostery to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ghostery · EN edition · Analysis: TopicsToTalkAbout

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