Digital redlining

Part of a series on
Discrimination
Forms Institutional Structural Statistical Taste-based
Attributes Age Caste Class Dialect Disability Genetic Hair texture Height Language Looks Mental disorder Race / Ethnicity Skin color Scientific racism Rank Sex Sexual orientation Species Size Viewpoint
Social Arophobia Acephobia Adultism Anti-albinism Anti-autism Anti-homelessness Anti-drug addicts Anti-intellectualism Anti-intersex Anti-left handedness Anti-Masonry Aporophobia Audism Biphobia Clannism Elitism Ephebiphobia Social determinants of health Social determinants of health in poverty Social determinants of mental health Fatphobia Gayphobia Gerontophobia Heterosexism HIV/AIDS stigma Homophobia Leprosy stigma Lesbophobia Discrimination against men Misandry Misogyny Nepotism Pedophobia Perpetual foreigner Pregnancy Sectarianism Supremacism White Male Transphobia Non-binary Transmisogyny Trans men Vegaphobia Xenophobia
Religious Atheism Exclusivism Baháʼí Faith Buddhism Christianity Persecution Catholicism Eastern Orthodoxy Jehovah's Witnesses LDS or Mormon post–Cold War era Falun Gong Hinduism Persecution Untouchability Islam Persecution Ahmadiyya Shi'ism Sufism Sunnism minority Muslim Judaism Persecution Neopaganism Protestantism Rastafari Sikhism Yazidism Zoroastrianism
Ethnic/national Afghan African Albanian Arab Armenian Asian France South Africa United States Assyrian Azerbaijani Black people African Americans China South Africa Bengali Bulgarian Catalan Chechen Chinese Colombian Croat Filipino Fulani Finnish Georgian Greek Haitian Hazara Hungarian Igbo Indian Indigenous people Australia Canada United States Irish Italian Japanese Jewish Antisemitism New Korean Kurdish Lithuanian Malay Māori Mexican Middle Eastern Mongolian Nigerian Pakistani Palestinians Pashtun Polish Quebec Romani Romanian Scottish Serb Slavic Somali Tatar Thai Turkish Ukrainian Uyghur Venezuelan Vietnamese Welsh
Manifestations Anti-LGBTQ rhetoric SPLC-designated list of anti-LGBTQ hate groups Anti-LGBTQ movemenet in the US Anti-trans movement in the UK Anti-Zionism Blood libel Bullying Cancel culture Capital punishment for homosexuality Compulsory sterilization Corrective rape Counter-jihad Cultural genocide Defamation Democide Disability hate crime Dog whistle Domicide Economic Education Employment Eliminationism Enemy of the people Ethnic cleansing Ethnic conflict Ethnic hatred Ethnic joke Ethnocide Excellence Gender-based dress codes Cosmetics policy High heel policy Forced conversion Freak show Gay bashing Gendercide Genital modification and mutilation Genocide examples Glass ceiling Hate crime LGBTQ Hate group Hate speech Homeless dumping Housing Indian rolling Kill Haole Day Lavender scare LGBTQ grooming conspiracy theory List of people killed for being transgender Lynching Mortgage Murder music Native American mascots Occupational segregation Opposition to immigration Persecution Pogrom Political repression Purge Racialization Religious persecution Religious terrorism Religious violence Religious war Scapegoating Segregation academy Sexual harassment Sex-selective abortion Slut-shaming Trans bashing Victimisation Violence against women White flight White genocide conspiracy theory Wife selling Witch hunt
Policies Age of candidacy Blood purity Blood quantum Crime of apartheid Disabilities Catholic Jewish Gender pay gap Gender roles Gerontocracy Gerrymandering Ghetto benches Internment Jewish quota Law for Protection of the Nation MSM blood donation restrictions No kid zone Numerus clausus (as religious or racial quota) One-drop rule Racial quota Racial segregation Jim Crow laws Nuremberg Laws Racial steering Redlining Same-sex marriage (laws and issues prohibiting) Segregation age racial religious sexual Social exclusion Sodomy law State atheism State religion Ugly law Voter suppression
Countermeasures Affirmative action Anti-discrimination law Anti-racism Constitutional colorblindness Cultural assimilation Cultural pluralism Diversity, equity, and inclusion Diversity training Empowerment Fat acceptance movement Feminism Fighting Discrimination Hate speech laws by country Human rights Intersex human rights LGBT rights Nonviolence Racial integration Reappropriation Self-determination Social integration Toleration
Related topics Allophilia Amatonormativity Bias Cisnormativity Civil liberties Dehumanization Diversity Multiculturalism Neurodiversity Ethnic penalty Figleaf Gender-blind Heteronormativity Historical eugenics Internalized oppression Intersectionality Masculism Medical model of disability autism Net bias Oikophobia Oppression Police brutality Political correctness Polyculturalism Power distance Prejudice Prisoner abuse Racial bias in criminal news in the United States Racism by country Racial color blindness Religious intolerance Reverse discrimination Reverse racism Second-generation gender bias Snobbery Social exclusion Social identity threat Social model of disability Social privilege Christian male white Social stigma Speciesism Stereotype threat The talk
v t e

Digital redlining is the practice of creating and perpetuating inequities between already marginalized groups specifically through the use of digital technologies, digital content, and the internet.^[1] The concept of digital redlining is an extension of the practice of redlining in housing discrimination,^[2][3] a historical legal practice in the United States and Canada dating back to the 1930s where red lines were drawn on maps to indicate poor and primarily black neighborhoods that were deemed unsuitable for loans or further development, which created great economic disparities between neighborhoods.^[4][5] The term was popularized by Dr. Chris Gilliard, a privacy scholar, who defines digital redlining as "the creation and maintenance of tech practices, policies, pedagogies, and investment decisions that enforce class boundaries and discriminate against specific groups".^[6][7]

Though digital redlining is related to the digital divide and techniques such as weblining and personalization, it is distinct from these concepts as part of larger complex systemic issues.^[8][9] It can refer to practices that create inequities of access to technology services in geographical areas, such as when internet service providers decide to not service specific geographic areas because they are perceived to be not as profitable and thus reduce access to crucial services and civic participation.^[10] It can also be used to refer to inequities caused by the policies and practices of digital technologies.^[2] For instance, with these methods inequities are accomplished through divisions that are created via algorithms which are hidden from the technology user; the use of big data and analytics allow for a much more nuanced form of discrimination that can target specific vulnerable populations.^[11] These algorithmic means are enabled through the use of unregulated data technologies that apply a score to individuals that statistically categorize personality traits or tendencies which are similar to a credit score but are proprietary to the technology companies and not under outside oversight.^[12][2]