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Automated propaganda detection in the browser 🔎 Apollolytics is a browser extension that helps you to identify propaganda techniques in online content and provides context for any claims you encounter. *** ⚡ Simply right-click anywhere on the webpage, select 'Detect Propaganda', and within seconds, the text will be analysed and highlighted with possible propaganda techniques. 👉 Alternatively, click and drag over a section of text, right-click, and select either 'Detect Propaganda on Selection' or '... with Contextualizer' to analyse the chosen text. The Contextualizer provides additional context for claims, including links to reliable sources. *** Once installed, clicking the Apollolytics logo opens the main extension panel. Here you can: ⚙️ - Change settings, such as which model is used. 📊 - View Propaganda Analytics, including the most common techniques yo encounter and a breakdown by website. 🗂️ - Access the Detection History, which saves all results generated using the tool. 🔒 - Export or delete all of your data—Apollolytics is committed to data privacy and transparency. 📖 - See detailed descriptions of all the propaganda techniques Apollolytics detects. *** 🇨🇭 Apollolytics is developed by researchers of the University of Zurich and the University of Lausanne. We are committed to ensuring that no identifiable user data is stored on our servers. *** Disclaimer Apollolytics may occasionally flag content as propaganda in error. All detections and explanations are automatically generated and do not reflect the views of the authors or associated universities.
Jun 22, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.