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Scite
Scite
 
Risk Overview
Moderate Risk
4.9
/10
Research
·
Knowledge Assistant
·
Top Risks

10-year post-account-closure data retention is the highest retention risk in this batch. Sharing research search queries and behavioral data with advertising networks is unusual and concerning for a research tool — academic queries may reveal sensitive pre-publication research directions. No explicit training prohibition.

Mitigations

'Do Not Sell or Share' opt-out available. GDPR compliance with Standard Contractual Clauses. Part of public company Research Solutions providing some accountability. Academic focus limits most egregious data uses. CCPA rights available to California-based researchers.

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Highest Risk Categories

The highest-scoring risk categories identified in this assessment.

Data Retention

Marketing data retained up to 10 years from last contact. Account data retained for account lifetime plus 10 years after account closure. This is an exceptionally long retention period (10 years post-closure) for a research tool that may handle sensitive pre-publication research query patterns.
7
/10

3rd-Party Sharing

Explicitly shares with advertising networks for targeted advertising. California CCPA section confirms sharing of 'Identifiers, Internet or Other Electronic Network Activity Information, and Device Information' with Advertising Networks may constitute a 'sale' under California law. 'Do Not Sell or Share' link available. Searches and browsing behavior shared with ad partners. Notably aggressive data monetization for an academic research tool.
6
/10

Training Use

Privacy policy does not include an explicit no-training commitment. Data uses include 'conduct research and analytics, including to improve the Service.' Searches run through the Service are explicitly logged. No explicit prohibition on using search queries or interactions for model training. Acquired by Research Solutions (NASDAQ: RSSS); practices may have evolved post-acquisition. Moderate training risk for a research tool.
5
/10

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Updated July 2026 • AI-assisted research • Reviewed by Verax • Report an issue

Reference Documentation

Official documentation and policies referenced as part of this assessment.
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