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Examples of Abuse
Examples of Abuse
Actor
23andMe
Acxiom
Amazon
Anduril Industries
Baidu
Equifax
Experian
Facebook
Google
Government
IBM
Microsoft
NSO Group
China
India
Open Source Intelligence
Alibaba
Apple
Cambridge Analytica
Criteo
Oracle
Palantir
Quantcast
Samsung
Sesame Credit
Sonos
Tapad
Tesla
Twitter
Uber
Walmart
WeChat
WhatsApp
Law enforcement
Military
Issue
Anonymity
Data analysis
Satellite
Behavioural analysis
City
Credit scoring
Beyond user control
Children
Data breach
Apologies
Data broker
Claims of anonymised data
Data for sale
Competition
Data ownership
Criminal justice
Data research
Consumers
Data sharing
Wearables
Poverty
Stalking
Profiling
Welfare
Telecommunication
Advertising
Toys
Ant Financial
Privacy invasion
Private policing
Protestors
Psychology
Public space
Racism
Refugees
Regulatory complaint
Religion
Retail
Science
Security fail
Security patching and updates
Security risk
Sexism
Social media
Students
Transport
Union
Voters
Workplace
Young people
Dating
Discrimination
Discriminatory pricing
Education
Election
Employees
Employment
Finance
Fines
Gender and sexuality
Glitch
Government access
Health
Health data
Household
Identity
Implantables
Inequality
Insurance
Lack of transparency
Law enforcement
LGBTQ
Manipulation
Metering and rationing
Migration and borders
Military
Minorities
Mitigations
Mood analysis
Technology
Analytics
Social Media Surveillance (SOCMINT)
AI
Tracking
Backdoors
Social engineering
Prediction
Wifi
Pay with your data
Apps
Biometrics
Blacklist
Connected car
Predictive policing
Database
Delete
DNA
Error
Facial recognition
Hacking
Infrastructure
Intelligence
IoT
IoT Security
Location
Metadata
Microtargeting
Type of abuse (field_type_of_abuse)
23andMe
A/B testing
Acxiom
AdTech
Affected people
Amazon
Analytics
Anduril Industries
Anonymity
Aspects of Exploitation
Asylum seekers
Baidu
Benefits claimants
Canada
Charities and NGOs
Data analysis
Data Exploitation in the French Elections
Data Exploitation in the German Elections
Data Exploitation in the Italian Elections
Data Exploitation in the Ukrainian elections
Equifax
Europe
European Union
Events and Moments
Experian
Facebook
Geofencing
Google
Government
IBM
Low income
Microsoft
Migrants
NSO Group
Political advertising
Recipients of aid
Russia
Satellite
Women
Behavioural analysis
China
City
Credit scoring
Smart meters
Beyond user control
Children
Data breach
India
Social Media Surveillance (SOCMINT)
Apologies
Closing spaces
Data broker
Search & Seizure
AI
Claims of anonymised data
Data for sale
Tracking
Backdoors
Competition
Data ownership
Social engineering
Criminal justice
Data Extraction from Devices
Data research
Voter ID
Consumers
Data sharing
Wearables
Poverty
Prediction
Stalking
Profiling
Welfare
Wifi
Domain
Pay with your data
Telecommunication
Open Source Intelligence
Voting
Advertising
Toys
Alibaba
Android
Ant Financial
Apple
Apps
Biometrics
Blacklist
Cambridge Analytica
Connected car
Country
Criteo
Data and Process
Oracle
Palantir
Political campaigns
Political surveillance
Predictive policing
Privacy invasion
Private policing
Propaganda
Protestors
Psychology
Public space
Quantcast
Racism
Refugees
Regulatory complaint
Religion
Retail
Samsung
Science
Security fail
Security patching and updates
Security risk
Sesame Credit
Sexism
Social media
Sonos
Students
Surveillance
Tapad
Technology or Technique
Terrorism
Tesla
Transport
Twitter
Uber
Union
USA
Voters
Walmart
WeChat
WhatsApp
Workplace
Young people
Database
Dating
Delete
Democracy
Discrimination
Discriminatory pricing
DNA
Education
Election
Employees
Employment
Error
Facial recognition
Finance
Fines
Gender and sexuality
Glitch
Government access
Government or Company
Hacking
Health
Health data
Household
Identity
Implantables
Inequality
Infrastructure
Insurance
Intelligence
IoT
IoT Security
Lack of transparency
Law enforcement
LGBTQ
Lie detection
Location
Malware
Manipulation
Metadata
Metering and rationing
Microtargeting
Migration and borders
Military
Minorities
Misinformation
Mitigations
Mood analysis
Type of abuse (field_type_of_abuse)
23andMe
A/B testing
Acxiom
AdTech
Affected people
Amazon
Analytics
Anduril Industries
Anonymity
Aspects of Exploitation
Asylum seekers
Baidu
Benefits claimants
Canada
Charities and NGOs
Data analysis
Data Exploitation in the French Elections
Data Exploitation in the German Elections
Data Exploitation in the Italian Elections
Data Exploitation in the Ukrainian elections
Equifax
Europe
European Union
Events and Moments
Experian
Facebook
Geofencing
Google
Government
IBM
Low income
Microsoft
Migrants
NSO Group
Political advertising
Recipients of aid
Russia
Satellite
Women
Behavioural analysis
China
City
Credit scoring
Smart meters
Beyond user control
Children
Data breach
India
Social Media Surveillance (SOCMINT)
Apologies
Closing spaces
Data broker
Search & Seizure
AI
Claims of anonymised data
Data for sale
Tracking
Backdoors
Competition
Data ownership
Social engineering
Criminal justice
Data Extraction from Devices
Data research
Voter ID
Consumers
Data sharing
Wearables
Poverty
Prediction
Stalking
Profiling
Welfare
Wifi
Domain
Pay with your data
Telecommunication
Open Source Intelligence
Voting
Advertising
Toys
Alibaba
Android
Ant Financial
Apple
Apps
Biometrics
Blacklist
Cambridge Analytica
Connected car
Country
Criteo
Data and Process
Oracle
Palantir
Political campaigns
Political surveillance
Predictive policing
Privacy invasion
Private policing
Propaganda
Protestors
Psychology
Public space
Quantcast
Racism
Refugees
Regulatory complaint
Religion
Retail
Samsung
Science
Security fail
Security patching and updates
Security risk
Sesame Credit
Sexism
Social media
Sonos
Students
Surveillance
Tapad
Technology or Technique
Terrorism
Tesla
Transport
Twitter
Uber
Union
USA
Voters
Walmart
WeChat
WhatsApp
Workplace
Young people
Database
Dating
Delete
Democracy
Discrimination
Discriminatory pricing
DNA
Education
Election
Employees
Employment
Error
Facial recognition
Finance
Fines
Gender and sexuality
Glitch
Government access
Government or Company
Hacking
Health
Health data
Household
Identity
Implantables
Inequality
Infrastructure
Insurance
Intelligence
IoT
IoT Security
Lack of transparency
Law enforcement
LGBTQ
Lie detection
Location
Malware
Manipulation
Metadata
Metering and rationing
Microtargeting
Migration and borders
Military
Minorities
Misinformation
Mitigations
Mood analysis