Surveillance Flashcards

(20 cards)

1
Q

What is the definition of surveillance?

A

Systematic observation of people with the aim of influencing or managing their behaviour

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2
Q

What are the different types of surveillance?

A

-State surveillance
- Corporate surveillance
- Personal surveillance; family, personal belongings
- Self-surveillance; health, personal insight

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3
Q

What are potential issues with state surveillance?

A
  • Data collected without consent
  • Citizens have little oversight on the data collected on them
  • Very large amounts of data
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4
Q

What are the potential issues with corporate surveillance?

A
  • Lack of consent or transparency
  • Personal data sold to 3rd parties
  • manipulative recommendation system
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5
Q

What are potential issues with personal surveillance?

A
  • Monitoring someone else without consent can erode trust
  • Can be misused; stalking or controlling behaviour
  • Personal devices susceptible to hacking or data leaks
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6
Q

What are potential issues with self surveillance?

A
  • Data collected can be resold or used for advertising
  • Personal health metrics will be stored on central corporate server
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7
Q

What is big data surveillance?

A

Systemic collection, analysis and use of massive datasets for monitoring and control

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8
Q

What technologies use big data?

A
  • Social media platforms
  • GPS data
  • credit card transations
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9
Q

What is predictive intelligence?

A

Big data is used to anticipate events such as crimes or terrorist attacks

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10
Q

What is sousveillance?

A

individuals monitor those in power, such as governments and corporations

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11
Q

What are the types of censorship?

A
  • Network-level censorship
  • Platform-level censorship
  • Self-censorship
  • Algorithmic censorship
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12
Q

What is network-level censorship?

A

censoring websites or services

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13
Q

What is platform-level censorship?

A

content moderation on platforms like Twitter, YouTube etc

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14
Q

What is self-censorship?

A

individuals modify behaviour, knowing they are being monitored

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15
Q

What is algorithmic-censorship?

A

AI filters unintentionally remove content due to lack of understanding or training bias

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16
Q

what are some methods used for network-level censorship?

A
  • IP blocking
  • Deep packet inspection
  • Firewalls
17
Q

What mechanism is used for automated content moderation?

A

Natural language models that detect inappropriate behaviour

18
Q

How can privacy and surveillance be balanced?

A
  • Embed privacy features into technology
  • Transparent data usage policies
  • Data collected is anonymised
19
Q

What is ignorance of privacy from users caused by?

A

Lack of transparency: Users can’t understand policies and become ignorant of them for convenience

20
Q

What can a lack of a robust legal framework lead to?

A

big-tech manipulating privacy and user data however they want