TweetDetective for Web

Quick overview

TweetDetective is a new AI-assisted utility built to spot tweets that were likely produced by machine-generated text. Using machine learning techniques, it evaluates tweet content and assigns a likelihood score that reflects the chance the message was authored by an AI rather than a human.

How it evaluates tweets

• A visible likelihood percentage appears alongside each tweet to communicate the model's confidence.
• Behind the scenes, advanced analysis routines inspect linguistic patterns and other signals to estimate AI involvement.
• The extension is currently tailored for English-language posts while broader multilingual support is being planned.

Installing and getting started

• Add the browser add-on (currently offered as a Chrome extension).
• Provide your private API token when prompted so the extension can access its detection service.
• Once configured, the score indicator will load automatically as you browse Twitter.

Accuracy and error rates

• The developers report very high detection capability, identifying more than 97 out of every 100 AI-generated passages.
• False positives are reportedly rare, with the tool’s rate of incorrectly flagging human-written tweets kept under roughly 3%.

Privacy and data handling

• User privacy is emphasized: the team states that personal information is not transmitted to third parties.
• The system is presented as a secure choice for users who want to assess the authenticity of tweets without exposing their data.

Platform roadmap and language expansion

• Current focus: English support and Chrome compatibility.
• Planned improvements include adding other browsers and extending detection to additional languages.

Alternative option (paid)

• SaberTrade — a commercial alternative that may suit users seeking a subscription-based service with different features.