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linkedin

linkedin

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Privacy Conclusion

"LinkedIn collects extensive personal and sensitive data with broad third-party sharing to Microsoft, ad networks, and employers. Cross-site tracking, indefinite retention, and weak user controls create significant privacy exposure."

Risk Score
72
ELEVATED

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2 Privacy Improvements Available

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linkedin Privacy Concerns & Scorecard

Privacy Risk Analysis
Tracking & AdsCRITICAL

LinkedIn employs extensive cross-site behavioral tracking using cookies, pixels, ad tags, and device identifiers both on and off LinkedIn platform. Users cannot opt out of non-personalized ads. Data used includes browsing history, search history, feed activity, and inferred demographic information (age, gender, interests, compensation).

Data CollectionCRITICAL

LinkedIn collects an exceptionally broad range of personal data including sensitive information like precise GPS location, salary/compensation brackets, health inferences, biometric data through photos, contacts, calendar information, communications content, and device fingerprinting. Outside Designated Countries, device data is collected automatically even without user engagement.

Third-Party SharingCRITICAL

LinkedIn shares personal data with Microsoft (parent company), advertising networks, ad exchanges, ad partners who can associate their own data with hashed LinkedIn IDs, employers accessing enterprise accounts, applicant tracking systems, talent/lead managers, and research partners. Premium customers can export limited profile information of other members unless they opt out.

Transparency & RightsHIGH

Policy language regarding data usage, retention, and inference is vague and ambiguous. Terms like 'as long as necessary' and 'for service improvement' provide LinkedIn broad discretion without clear user understanding of actual data practices.

Retention & ControlHIGH

LinkedIn retains personal data indefinitely after account closure for broadly-defined purposes including legal obligations, fraud prevention, security, dispute resolution, and regulatory compliance. De-personalized and aggregated information is retained indefinitely without specified deletion mechanism.

Recommended Actions

Profile viewing anonymization

  1. 1Click the Me icon at the top of your LinkedIn homepage.
  2. 2Select Settings & Privacy from the dropdown.
  3. 3Click Visibility on the left rail.
  4. 4In the Visibility of your profile & network section, click Visibility when viewing other profiles.
  5. 5Select Private mode. Your changes will be saved automatically.
Access Settings

Contact sync deletion

  1. 1Click the Me icon at the top of your LinkedIn homepage.
  2. 2Click Settings & Privacy. The Account preferences section will open by default.
  3. 3Under Syncing options, click Sync contacts.
  4. 4Next to Contacts, click Remove all.
  5. 5In the Remove all sources? pop-up, click Continue to confirm. Your contacts will be deleted immediately; updates to suggestions may take up to 72 hours.
Access Settings

Automate your privacy

Connect your accounts to TrueTerms to automate these privacy actions and monitor policy changes.

Data Collection & Tracking

Personal Information Collected

Identity Data

Account creation, identity verification, fraud prevention, profile management

Professional Information

Profile completion, recruiting, job matching, advertising segmentation

Contact and Network Data

Network building, contact management, email sync, employer verification

Location Data

Ad targeting, analytics, location-based recommendations, fraud prevention

Device and Network Information

Platform compatibility, ad delivery, device fingerprinting, analytics

Communications and Messages

Message delivery, security monitoring, abuse detection, user support

Behavioral and Engagement Data

Content recommendation, ad targeting, analytics, feed personalization

Demographic Inferences

Ad targeting segmentation, audience analytics, recruitment targeting

Payment and Billing Data

Payment processing, subscription management, fraud prevention

Publicly Shared Content

Profile visibility, content distribution, social engagement, platform recommendation systems

Calendar and Meeting Data

Calendar sync, meeting integration, scheduling assistance

Cross-Platform Tracking

LinkedIn tracks users across third-party websites and mobile apps using cookies, pixels, ad tags, and device identifiers. This cross-site behavioral tracking occurs both on sites where users actively engage with LinkedIn content and passively across the web for ad targeting. Outside Designated Countries, device data is collected automatically even without user engagement with LinkedIn services.

Tracking Methods:

Cookies

Persistent and session cookies placed on user devices to track behavior on LinkedIn and across third-party websites for ad targeting and analytics

Tracking Pixels

Invisible pixels embedded on third-party websites to track users who have visited LinkedIn or engaged with LinkedIn content, enabling retargeting campaigns

Ad Tags

JavaScript tags placed on advertiser websites to track conversions, user actions, and campaign performance linked back to LinkedIn user profiles

Device Identifiers

Unique device IDs, hashed IDs, and ad IDs used to track users across sessions and devices for ad delivery and analytics

Mobile App Tracking

GPS location tracking, device identifiers, and app usage analytics collected through the LinkedIn mobile app even without active user engagement

Browser Fingerprinting

Collection of device characteristics (OS, browser type, add-ons, screen resolution) to create unique device fingerprints for tracking across sites without cookies

Email Sync

Access to email header information when users sync email accounts, enabling collection of contact information and communication patterns from third parties

Calendar Integration

Sync with calendar applications to collect meeting information, invitations, and attendee data for professional graph building

AI & Data Training

linkedin uses your content to train AI

Below is what's used and how (if at all) you can object.

What Content Is Used

  • Posts

    User-generated posts and articles used to train AI models for content recommendations and language processing

  • Messages and Communications

    Direct messages and InMail content scanned and processed by automated systems for training abuse detection and security models

  • Engagement Patterns

    User likes, follows, comments, and interactions used to train recommendation and inference models

  • Profile Information

    Job titles, skills, education, and career information used to train inference models for demographic predictions

  • Browsing and Search History

    User browsing patterns, search queries, and content viewing history used to train recommendation algorithms

How to Object

No opt-out available

This service does not currently provide a public way to opt out of AI training.

Why We Analyzed linkedin

TrueTerms automatically audits privacy policies and data practices using advanced machine learning to keep you informed and protected. This scorecard is based on the latest available public terms of service and privacy policies as of 2026.