Virtual Pages - Source Excerpt 86
Summary
This source excerpt preserves a bounded section of 2IA.org/wp-content/themes/twoia-intelligence/inc/virtual-pages.php so readers can inspect the evidence without opening the full source file.
**Source path:** 2IA.org/wp-content/themes/twoia-intelligence/inc/virtual-pages.php
'harmed' => __( 'People harmed include demonstrators, observers, journalists, legal monitors, medics, clergy, nearby residents, and people misidentified from images or location records.', 'two-identities-anonymous' ),
'terms' => __( 'Key terms: protected activity, association, permit record, event file, mutual aid, geofence, image retention, intelligence bulletin, redaction.', 'two-identities-anonymous' ),
'records' => __( 'Documents to request: protest-event policies, retention schedules, camera policies, data-sharing agreements, intelligence bulletins, after-action reports, and training material.', 'two-identities-anonymous' ),
'questions' => __( 'Questions for officials: what protest data is collected, how long it is kept, who receives it, and how lawful activity is separated from investigation-specific evidence.', 'two-identities-anonymous' ),
'actors' => __( 'Actors to map: public-safety agencies, fusion centers, city attorneys, permit offices, vendors, emergency management, and oversight boards.', 'two-identities-anonymous' ),
'references' => __( 'References to verify: civil-liberties litigation, protest policing policies, public meeting minutes, journalist-rights guidance, and local surveillance ordinances.', 'two-identities-anonymous' ),
'related' => __( 'Related 2IA work: /two-identities/, /metadata-is-identity/, /surveillance-systems/, /ethics-and-civil-liberties/.', 'two-identities-anonymous' ),
'steps' => __( 'Ask for retention and sharing rules, request after-action records, minimize bystander exposure, and preserve evidence for correction or oversight.', 'two-identities-anonymous' ),
),
array(
'title' => __( 'Facial Recognition And Biometric Identity', 'two-identities-anonymous' ),
'overview' => __( 'Biometric systems turn bodies into searchable identifiers through face, fingerprint, voice, gait, iris, or other measurable traits.', 'two-identities-anonymous' ),
'why' => __( 'It matters because biometric identity is hard to change, often collected at a distance, and can tie ordinary public presence to institutional memory.', 'two-identities-anonymous' ),
'works' => __( 'Systems enroll images or templates, compare probes against galleries, rank candidate matches, and route results to human or automated review.', 'two-identities-anonymous' ),
'wrong' => __( 'Failure modes include false matches, demographic performance gaps, weak human review, poor image quality, overbroad galleries, and no notice or appeal.', 'two-identities-anonymous' ),
'benefits' => __( 'Vendors benefit from accuracy claims and gallery growth; agencies benefit from search power that can outpace policy.', 'two-identities-anonymous' ),
'harmed' => __( 'People harmed include misidentified people, people in overpoliced communities, protesters, travelers, workers, and people whose images were enrolled without meaningful notice.', 'two-identities-anonymous' ),
'terms' => __( 'Key terms: probe image, gallery, candidate list, confidence score, human review, one-to-many search, enrollment, template, false match.', 'two-identities-anonymous' ),
'records' => __( 'Documents to request: contracts, accuracy studies, use policies, human-review rules, gallery sources, audit logs, training, misidentification reviews, and data-retention rules.', 'two-identities-anonymous' ),
'questions' => __( 'Questions for officials: what galleries are searched, what confidence threshold is used, what human review is required, and how errors are corrected.', 'two-identities-anonymous' ),
'actors' => __( 'Actors to map: biometric vendor, agency users, database owners, policy approvers, auditors, courts, and people subject to search.', 'two-identities-anonymous' ),
'references' => __( 'References to verify: NIST face-recognition evaluations, civil-rights guidance, vendor contracts, court cases, and local surveillance technology reports.', 'two-identities-anonymous' ),
'related' => __( 'Related 2IA work: /surveillance-systems/, /false-positives/, /ai-surveillance/, /public-records-and-foia/.', 'two-identities-anonymous' ),
'steps' => __( 'Request use logs in aggregated or redacted form, ask for validation records, and examine whether a match can become proof without corroboration.', 'two-identities-anonymous' ),
),
array(
'title' => __( 'Social Media Monitoring', 'two-identities-anonymous' ),
'overview' => __( 'Social media monitoring turns public posts, profiles, hashtags, groups, images, and engagement into watch streams, reports, or risk claims.', 'two-identities-anonymous' ),
'why' => __( 'It matters because public speech is not the same as permission to profile private life, association, or political belief.', 'two-identities-anonymous' ),
'works' => __( 'Systems search, scrape, buy, or receive platform data, then filter by terms, geography, networks, sentiment, image matches, or accounts.', 'two-identities-anonymous' ),
'wrong' => __( 'Failure modes include context collapse, satire treated as threat, association mapping, private-person profiling, platform bias, and invisible retention.', 'two-identities-anonymous' ),
'benefits' => __( 'Vendors benefit from broad dashboards; agencies and employers benefit from easy monitoring without transparent investigative standards.', 'two-identities-anonymous' ),
'harmed' => __( 'People harmed include activists, journalists, students, workers, public commenters, minors, and people caught in network maps through ordinary association.', 'two-identities-anonymous' ),
'terms' => __( 'Key terms: social listening, scrape, hashtag, sentiment, account graph, geotag, terms of service, context collapse, retention.', 'two-identities-anonymous' ),
'records' => __( 'Documents to request: contracts, keyword lists, policy, training, watch criteria, account lists, vendor presentations, retention rules, and audit reports.', 'two-identities-anonymous' ),
'questions' => __( 'Questions for officials: what platforms are monitored, what criteria trigger review, what private or protected speech is excluded, and how errors are corrected.', 'two-identities-anonymous' ),
'actors' => __( 'Actors to map: social-monitoring vendors, agency analysts, communications offices, schools, employers, law-enforcement units, and platforms.', 'two-identities-anonymous' ),
'references' => __( 'References to verify: public procurement records, platform transparency reports, civil-liberties reports, school monitoring policies, and agency social-media policies.', 'two-identities-anonymous' ),
'related' => __( 'Related 2IA work: /open-source-intelligence/, /keyword-monitoring/, /ethics-and-civil-liberties/, /methodology/.', 'two-identities-anonymous' ),
'steps' => __( 'Request policies and term lists, ask how protected activity is handled, and avoid republishing private-person material unless strictly necessary.', 'two-identities-anonymous' ),
),
array(
'title' => __( 'Location Data', 'two-identities-anonymous' ),
'overview' => __( 'Location data turns movement into records through phones, apps, vehicles, license-plate readers, cards, cameras, Wi-Fi, Bluetooth, and broker feeds.', 'two-identities-anonymous' ),
'why' => __( 'It matters because movement can reveal religion, health, work, family, protest, legal help, sources, and private routines.', 'two-identities-anonymous' ),
'works' => __( 'Systems collect pings, sightings, transactions, check-ins, route traces, or geofence matches, then retain or share them with agencies or vendors.', 'two-identities-anonymous' ),
'wrong' => __( 'Failure modes include bad geolocation, shared devices, inaccurate inferences, broad geofences, long retention, and historical movement turned into suspicion.', 'two-identities-anonymous' ),
'benefits' => __( 'Brokers, platforms, app developers, advertisers, and public agencies benefit when movement is easy to buy or query.', 'two-identities-anonymous' ),
'harmed' => __( 'People harmed include patients, worshippers, domestic-violence survivors, workers, protesters, journalists, and people wrongly tied to places or events.', 'two-identities-anonymous' ),
'terms' => __( 'Key terms: geofence, ping, location broker, ALPR, retention period, historical query, device ID, aggregation, anonymization claim.', 'two-identities-anonymous' ),
'records' => __( 'Documents to request: location-data contracts, ALPR policies, retention schedules, query logs, broker invoices, data dictionaries, sharing agreements, and audit reports.', 'two-identities-anonymous' ),
'questions' => __( 'Questions for officials: what movement data is collected or purchased, what standard controls searches, and how inaccurate or stale movement records are corrected.', 'two-identities-anonymous' ),