Data brokers: Difference between revisions

Line 22:

===Potential for discrimination===

Data broker profiles can potentially enable discriminatory practices when used for decisions regarding credit, insurance, employment, or housing. By categorizing consumers based on various attributes, data brokers create segments that can serve as proxies for protected characteristics like race, religion, or socioeconomic status, even when those characteristics aren't explicitly identified.<ref>{{cite web |url=https://epic.org/issues/consumer-privacy/data-brokers/ |title=Data Brokers |publisher=Electronic Privacy Information Center |access-date=2025-05-07 |url-status=live |archive-url=http://web.archive.org/web/20260201001608/https://epic.org/issues/consumer-privacy/data-brokers/ |archive-date=1 Feb 2026}}</ref><ref>{{Cite web |title=Social Cooling - Big Data's unintended side effect |url=https://www.socialcooling.com/ |url-status=live |archive-url=https://web.archive.org/web/20260220030934/https://www.socialcooling.com/ |archive-date=2026-02-20 |access-date=2026-02-26 |website=Social Cooling}}</ref>

Data broker profiles can potentially enable discriminatory practices when used for decisions regarding credit, insurance, employment, or housing. By categorizing consumers based on various attributes, data brokers create segments that can serve as proxies for protected characteristics like race, religion, or socioeconomic status, even when those characteristics aren't explicitly identified.<ref>{{cite web |url=https://epic.org/issues/consumer-privacy/data-brokers/ |title=Data Brokers |publisher=Electronic Privacy Information Center |access-date=2025-05-07 |url-status=live |archive-url=http://web.archive.org/web/20260201001608/https://epic.org/issues/consumer-privacy/data-brokers/ |archive-date=1 Feb 2026}}</ref> This leads to people reluctantly changing their behavior in order to pander to the algorithms.<ref>{{Cite web |title=Social Cooling - Big Data's unintended side effect |url=https://www.socialcooling.com/ |url-status=live |archive-url=https://web.archive.org/web/20260220030934/https://www.socialcooling.com/ |archive-date=2026-02-20 |access-date=2026-02-26 |website=Social Cooling}}</ref>

===Security vulnerabilities===

@@ Line 22: / Line 22: @@
 ===Potential for discrimination===
-Data broker profiles can potentially enable discriminatory practices when used for decisions regarding credit, insurance, employment, or housing. By categorizing consumers based on various attributes, data brokers create segments that can serve as proxies for protected characteristics like race, religion, or socioeconomic status, even when those characteristics aren't explicitly identified.<ref>{{cite web |url=https://epic.org/issues/consumer-privacy/data-brokers/ |title=Data Brokers |publisher=Electronic Privacy Information Center |access-date=2025-05-07 |url-status=live |archive-url=http://web.archive.org/web/20260201001608/https://epic.org/issues/consumer-privacy/data-brokers/ |archive-date=1 Feb 2026}}</ref><ref>{{Cite web |title=Social Cooling - Big Data's unintended side effect |url=https://www.socialcooling.com/ |url-status=live |archive-url=https://web.archive.org/web/20260220030934/https://www.socialcooling.com/ |archive-date=2026-02-20 |access-date=2026-02-26 |website=Social Cooling}}</ref>
+Data broker profiles can potentially enable discriminatory practices when used for decisions regarding credit, insurance, employment, or housing. By categorizing consumers based on various attributes, data brokers create segments that can serve as proxies for protected characteristics like race, religion, or socioeconomic status, even when those characteristics aren't explicitly identified.<ref>{{cite web |url=https://epic.org/issues/consumer-privacy/data-brokers/ |title=Data Brokers |publisher=Electronic Privacy Information Center |access-date=2025-05-07 |url-status=live |archive-url=http://web.archive.org/web/20260201001608/https://epic.org/issues/consumer-privacy/data-brokers/ |archive-date=1 Feb 2026}}</ref> This leads to people reluctantly changing their behavior in order to pander to the algorithms.<ref>{{Cite web |title=Social Cooling - Big Data's unintended side effect |url=https://www.socialcooling.com/ |url-status=live |archive-url=https://web.archive.org/web/20260220030934/https://www.socialcooling.com/ |archive-date=2026-02-20 |access-date=2026-02-26 |website=Social Cooling}}</ref>
 ===Security vulnerabilities===