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Description
Research extension for studying AI-generated content in social media feeds. For consented participants only. Social AI Feed Detector is a Chrome extension developed for an academic research study at Rutgers University. The study examines how much AI-generated content currently appears in users' LinkedIn feeds, and how people engage with that content. Findings will contribute to academic understanding of AI's role in shaping public conversation online. This extension is intended exclusively for consented research participants. If you have not received a Participant ID through a study invitation, this extension is not for you. When you scroll your LinkedIn feed normally, the extension reads the text of each post that comes into view and sends it to a third-party AI-content detection service (Pangram). A small visual badge is displayed on each post indicating whether the content was classified as Human-written, AI-generated, Mixed, or too short to score. Alongside each score, the extension records publicly visible information about the post and its engagement counts in a research database hosted by Rutgers. What gets collected — Text of public posts at least 250 characters long that appear in your LinkedIn feed — The post author's public profile name and identifier — Engagement counts visible on the post: likes, comments, reposts — The AI-content detection score for each post — Your anonymous Participant ID (linked to your study consent record) — Timestamps of when posts were observed What does not get collected — Private or direct messages — Posts, drafts, or comments you author yourself — Account credentials, passwords, or login information — Browsing history outside of linkedin.com — Personally identifiable information beyond what is shown publicly on the platform Privacy and data handling All collected data is stored on a secure Rutgers-managed research server. Access is restricted to the research team. Data will be retained for the duration of the study and the publication period defined in the project's IRB protocol. Participants may request deletion of their data at any time by contacting the research team. Getting started Install the extension. A setup tab will open automatically. Enter the Participant ID provided in your study invitation. Browse LinkedIn normally. The extension runs quietly in the background. To stop participating, remove the extension from chrome://extensions at any time. For questions or to request deletion of your data, contact the research team through the study coordinator. The full privacy policy is available at the URL linked in this listing.