Political Opinion & Affiliation
Detects references to political opinions and party affiliation: party membership, voter registration by party, political donations and campaign contributions. GDPR Article 9 lists political opinions as a special category of personal data with no fixed format — it is detectable only by topic vocabulary. Topic-grade detector, low confidence by design.
- Type
- keyword_list
- Engine
- universal
- Confidence
- low
- Confidence justification
- Low by design. Political opinion is a GDPR Article 9 special category with no fixed format, so it is detected purely by topic vocabulary. Phrases like "voted for" appear constantly in non-political prose (awards, elections of officers, polls); pair with corroborative keywords (politics, election, candidate, donor) within the proximity window and treat single hits as low confidence.
- Jurisdictions
- global, eu
- Regulations
- GDPR
- Frameworks
- ISO 27001, NIST CSF, SOC 2
- Data categories
- pii
- Scope
- broad
- Risk rating
- 7
Pattern
(?i)\b(?:political affiliations?|political opinions?|party membership|party affiliations?|voted for|registered (?:Democrat|Republican|Green|Libertarian|to vote as)|political donations?|campaign contributions?|political party member|partisan affiliations?|voter registration party)\b
Corroborative evidence keywords
politics, election, candidate, ballot, donor, constituent, voter, electorate
Proximity: 300 characters
Should match
CRM note records the donor as a registered Democrat in the swing district.— Registered Democrat term presentThe file lists each campaign contribution made during the election cycle.— Campaign contribution term presentProfile field captures party membership and political affiliation.— Party membership / political affiliation terms presentA political donation of record was flagged for the constituent.— Political donation term present
Should not match
The quarterly sales report shows revenue grew across all regions.— Unrelated business prose, no political termsThe committee registered the new vendor in the procurement system.— Near-miss prose ("registered" but not a party), no political opinionThe team selected the winning design after a quick internal poll.— Unrelated prose, "poll" without political affiliation vocabulary
Known false positives
- Phrases like "voted for" or "registered" appear in non-political contexts (board elections, award votes, vendor registration), producing matches with no political-opinion content. Mitigation: Require corroborative keywords (election, candidate, donor, constituent, ballot) within the proximity window; treat isolated "voted for"/"registered" hits as low confidence.