Dube et al (2025)

The paper identifies a phenomenon known as the "privacy paradox." What does this term refer to?

The legal conflict between state-level privacy laws (like California's CCPA) and federal regulations.The contradiction where consumers state in surveys that they care deeply about privacy but willingly share personal data in practice.The fact that privacy laws designed to protect consumers actually decrease the cost of goods.The technological reality that more encryption often leads to slower internet speeds.

"A well-documented 'privacy paradox' shows that stated attitudes may diverge from actual privacy behaviors... and are contaminated by 'socially desirable' responses". "Survey respondents profess caring deeply about privacy but willingly share data".

Think about the difference between what people say is important and what they actually do when browsing the web.

• False
• True
• False
• False

The paper identifies a phenomenon known as the "privacy paradox." What does this term refer to?

The contradiction where consumers state in surveys that they care deeply about privacy but willingly share personal data in practice.The technological reality that more encryption often leads to slower internet speeds.The legal conflict between state-level privacy laws (like California's CCPA) and federal regulations.The fact that privacy laws designed to protect consumers actually decrease the cost of goods.

"A well-documented 'privacy paradox' shows that stated attitudes may diverge from actual privacy behaviors... and are contaminated by 'socially desirable' responses". "Survey respondents profess caring deeply about privacy but willingly share data".

Think about the difference between what people say is important and what they actually do when browsing the web.

• True
• False
• False
• False

The paper identifies a phenomenon known as the "privacy paradox." What does this term refer to?

The technological reality that more encryption often leads to slower internet speeds.The fact that privacy laws designed to protect consumers actually decrease the cost of goods.The legal conflict between state-level privacy laws (like California's CCPA) and federal regulations.The contradiction where consumers state in surveys that they care deeply about privacy but willingly share personal data in practice.

"A well-documented 'privacy paradox' shows that stated attitudes may diverge from actual privacy behaviors... and are contaminated by 'socially desirable' responses". "Survey respondents profess caring deeply about privacy but willingly share data".

Think about the difference between what people say is important and what they actually do when browsing the web.

• False
• False
• False
• True

What is "algorithmic exclusion" as described in the text?

When algorithms are programmed to deliberately exclude specific racial groups from seeing advertisements.The practice of consumers using ad-blockers to exclude themselves from algorithmic tracking.The process of removing personal identifiers from datasets to protect user anonymity.A situation where disadvantaged consumers are invisible to algorithms due to "data deserts," causing them to be denied offers or services.

"Poorer consumers live in 'data deserts'... causing algorithmic exclusion from algorithmic processing due to missing or fragmented data. This exclusion thwarts marketing outreach and may deprive them of offers...".

This occurs not because of malice, but because there isn't enough data on certain groups for the algorithm to "see" or score them effectively.

• False
• False
• False
• True

What is "algorithmic exclusion" as described in the text?

The practice of consumers using ad-blockers to exclude themselves from algorithmic tracking.A situation where disadvantaged consumers are invisible to algorithms due to "data deserts," causing them to be denied offers or services.When algorithms are programmed to deliberately exclude specific racial groups from seeing advertisements.The process of removing personal identifiers from datasets to protect user anonymity.

"Poorer consumers live in 'data deserts'... causing algorithmic exclusion from algorithmic processing due to missing or fragmented data. This exclusion thwarts marketing outreach and may deprive them of offers...".

This occurs not because of malice, but because there isn't enough data on certain groups for the algorithm to "see" or score them effectively.

• False
• True
• False
• False

What is "algorithmic exclusion" as described in the text?

The practice of consumers using ad-blockers to exclude themselves from algorithmic tracking.A situation where disadvantaged consumers are invisible to algorithms due to "data deserts," causing them to be denied offers or services.When algorithms are programmed to deliberately exclude specific racial groups from seeing advertisements.The process of removing personal identifiers from datasets to protect user anonymity.

"Poorer consumers live in 'data deserts'... causing algorithmic exclusion from algorithmic processing due to missing or fragmented data. This exclusion thwarts marketing outreach and may deprive them of offers...".

This occurs not because of malice, but because there isn't enough data on certain groups for the algorithm to "see" or score them effectively.

• False
• True
• False
• False

Which of the following is considered a "Privacy-Enhancing Technology" (PET)? taining aggregate patterns

Differential privacyReal-time bidding (RTB)Cross-site tracking pixelsThird-party cookies

"PETs include diverse technologies such as adding noise to data (i.e., differential privacy), cohorting consumers (e.g., K-anonymity)...".

This technology adds "noise" to data to mask individual identities while main

• True
• False
• False
• False

Which of the following is considered a "Privacy-Enhancing Technology" (PET)? taining aggregate patterns

Third-party cookiesDifferential privacyCross-site tracking pixelsReal-time bidding (RTB)

"PETs include diverse technologies such as adding noise to data (i.e., differential privacy), cohorting consumers (e.g., K-anonymity)...".

This technology adds "noise" to data to mask individual identities while main

• False
• True
• False
• False

Which of the following is considered a "Privacy-Enhancing Technology" (PET)? taining aggregate patterns

Third-party cookiesReal-time bidding (RTB)Differential privacyCross-site tracking pixels

"PETs include diverse technologies such as adding noise to data (i.e., differential privacy), cohorting consumers (e.g., K-anonymity)...".

This technology adds "noise" to data to mask individual identities while main

• False
• False
• True
• False

Instead of viewing privacy strictly as "concealment" (hiding data), the authors advocate for viewing it through the lens of "boundary regulation." What is the goal of boundary regulation?

To regulate the boundaries between large tech monopolies.To build a firewall around national borders to prevent international data transfer.To allow consumers to share information when they wish and restrict it when they do not, reducing the friction of beneficial sharing.To ensure no data ever leaves the consumer's device.

"But humans seek boundary regulation -- sharing information when they wish and restricting it when they do not". "Privacy policies support 'boundary regulation' by reducing the cost of sharing when sharing is desired...".

Think of a door that you can open for friends but lock for strangers, rather than a wall that blocks everyone.

• False
• False
• True
• False

Instead of viewing privacy strictly as "concealment" (hiding data), the authors advocate for viewing it through the lens of "boundary regulation." What is the goal of boundary regulation?

To build a firewall around national borders to prevent international data transfer.To ensure no data ever leaves the consumer's device.To allow consumers to share information when they wish and restrict it when they do not, reducing the friction of beneficial sharing.To regulate the boundaries between large tech monopolies.

"But humans seek boundary regulation -- sharing information when they wish and restricting it when they do not". "Privacy policies support 'boundary regulation' by reducing the cost of sharing when sharing is desired...".

Think of a door that you can open for friends but lock for strangers, rather than a wall that blocks everyone.

• False
• False
• True
• False

Instead of viewing privacy strictly as "concealment" (hiding data), the authors advocate for viewing it through the lens of "boundary regulation." What is the goal of boundary regulation?

To regulate the boundaries between large tech monopolies.To allow consumers to share information when they wish and restrict it when they do not, reducing the friction of beneficial sharing.To build a firewall around national borders to prevent international data transfer.To ensure no data ever leaves the consumer's device.

"But humans seek boundary regulation -- sharing information when they wish and restricting it when they do not". "Privacy policies support 'boundary regulation' by reducing the cost of sharing when sharing is desired...".

Think of a door that you can open for friends but lock for strangers, rather than a wall that blocks everyone.

• False
• True
• False
• False

According to the paper, how do privacy regulations typically affect the competitive landscape between large and small firms?

They have no impact on competition.They favor large incumbent firms who have less need for third-party data and can afford high compliance costs.They primarily hurt large firms because they have the most data to lose.They level the playing field, allowing small firms to compete better.

"Fourth, privacy measures may favor large companies who have less need for third-party data and can afford compliance costs". "GDPR increased concentration in EU digital advertising markets... with Google and Facebook both gaining market share".

Large companies like Google or Amazon already own the customer relationship directly ("first-party data"), whereas small shops rely on "third-party" data to find customers.

• False
• True
• False
• False

According to the paper, how do privacy regulations typically affect the competitive landscape between large and small firms?

They have no impact on competition.They favor large incumbent firms who have less need for third-party data and can afford high compliance costs.They level the playing field, allowing small firms to compete better.They primarily hurt large firms because they have the most data to lose.

"Fourth, privacy measures may favor large companies who have less need for third-party data and can afford compliance costs". "GDPR increased concentration in EU digital advertising markets... with Google and Facebook both gaining market share".

Large companies like Google or Amazon already own the customer relationship directly ("first-party data"), whereas small shops rely on "third-party" data to find customers.

• False
• True
• False
• False

According to the paper, how do privacy regulations typically affect the competitive landscape between large and small firms?

They favor large incumbent firms who have less need for third-party data and can afford high compliance costs.They level the playing field, allowing small firms to compete better.They have no impact on competition.They primarily hurt large firms because they have the most data to lose.

"Fourth, privacy measures may favor large companies who have less need for third-party data and can afford compliance costs". "GDPR increased concentration in EU digital advertising markets... with Google and Facebook both gaining market share".

Large companies like Google or Amazon already own the customer relationship directly ("first-party data"), whereas small shops rely on "third-party" data to find customers.

• True
• False
• False
• False

What is the "privacy-bias tradeoff" discussed in the paper?

The tendency for privacy advocates to be biased against technology companies.The trade-off between having a private life and having a public bias.The conflict where privacy laws prevent the collection of sensitive data (like race), making it difficult to detect and correct for algorithmic discrimination.The idea that unbiased algorithms are more expensive to produce.

"Paradoxically, the policy objective of privacy protection and the policy objective of nondiscrimination can conflict... without knowing a customer's race and gender, it would be difficult to monitor digital marketing for unfair discrimination".

Hint: You cannot fix a problem (like racial bias in lending) if you are legally forbidden from measuring it (by collecting race data).

• False
• False
• True
• False

What is the "privacy-bias tradeoff" discussed in the paper?

The trade-off between having a private life and having a public bias.The conflict where privacy laws prevent the collection of sensitive data (like race), making it difficult to detect and correct for algorithmic discrimination.The tendency for privacy advocates to be biased against technology companies.The idea that unbiased algorithms are more expensive to produce.

"Paradoxically, the policy objective of privacy protection and the policy objective of nondiscrimination can conflict... without knowing a customer's race and gender, it would be difficult to monitor digital marketing for unfair discrimination".

Hint: You cannot fix a problem (like racial bias in lending) if you are legally forbidden from measuring it (by collecting race data).

• False
• True
• False
• False

What is the "privacy-bias tradeoff" discussed in the paper?

The conflict where privacy laws prevent the collection of sensitive data (like race), making it difficult to detect and correct for algorithmic discrimination.The tendency for privacy advocates to be biased against technology companies.The trade-off between having a private life and having a public bias.The idea that unbiased algorithms are more expensive to produce.

"Paradoxically, the policy objective of privacy protection and the policy objective of nondiscrimination can conflict... without knowing a customer's race and gender, it would be difficult to monitor digital marketing for unfair discrimination".

Hint: You cannot fix a problem (like racial bias in lending) if you are legally forbidden from measuring it (by collecting race data).

• True
• False
• False
• False

The paper cites research on Apple’s App Tracking Transparency (ATT). What was a documented unintended consequence of this policy on small businesses?

Small businesses saw a 50% increase in revenue.Small businesses gained market share from large corporations.Small businesses were disproportionately harmed because they rely on "offsite data" and ad targeting that ATT blocks.Small businesses were unaffected because they do not use mobile apps.

"Apple's ATT substantially degraded digital advertising: firm revenue fell 37% more for more Meta-dependent firms... and the number of U.S. establishments fell... in more affected industries". "Banning offsite data... disproportionately harms small advertisers".

Small shops often can't afford TV ads; they rely on specific, targeted digital ads to find niche customers.

• False
• False
• True
• False

The paper cites research on Apple’s App Tracking Transparency (ATT). What was a documented unintended consequence of this policy on small businesses?

Small businesses were unaffected because they do not use mobile apps.Small businesses were disproportionately harmed because they rely on "offsite data" and ad targeting that ATT blocks.Small businesses gained market share from large corporations.Small businesses saw a 50% increase in revenue.

"Apple's ATT substantially degraded digital advertising: firm revenue fell 37% more for more Meta-dependent firms... and the number of U.S. establishments fell... in more affected industries". "Banning offsite data... disproportionately harms small advertisers".

Small shops often can't afford TV ads; they rely on specific, targeted digital ads to find niche customers.

• False
• True
• False
• False

The paper cites research on Apple’s App Tracking Transparency (ATT). What was a documented unintended consequence of this policy on small businesses?

Small businesses saw a 50% increase in revenue.Small businesses were disproportionately harmed because they rely on "offsite data" and ad targeting that ATT blocks.Small businesses gained market share from large corporations.Small businesses were unaffected because they do not use mobile apps.

"Apple's ATT substantially degraded digital advertising: firm revenue fell 37% more for more Meta-dependent firms... and the number of U.S. establishments fell... in more affected industries". "Banning offsite data... disproportionately harms small advertisers".

Small shops often can't afford TV ads; they rely on specific, targeted digital ads to find niche customers.

• False
• True
• False
• False

A policymaker suggests banning all "personalized pricing" to protect consumers. Based on the paper, why might this actually hurt low-income consumers?

Banning it would violate international trade agreements.Personalized pricing often results in lower prices for those with lower willingness to pay (often poorer consumers), expanding their access to goods.Personalized pricing is the only way companies make a profit.Low-income consumers prefer high prices as a status symbol.

"Dubé and Misra (2023) find that personalized pricing lowered prices for over 60% of the customers... primarily for the smallest enterprise customers". "Personalized pricing could help reduce nutritional inequality".

If a company can't offer a discount to someone who can't afford the full price, that person might not be able to buy the product at all.

• False
• True
• False
• False

A policymaker suggests banning all "personalized pricing" to protect consumers. Based on the paper, why might this actually hurt low-income consumers?

Banning it would violate international trade agreements.Personalized pricing often results in lower prices for those with lower willingness to pay (often poorer consumers), expanding their access to goods.Personalized pricing is the only way companies make a profit.Low-income consumers prefer high prices as a status symbol.

"Dubé and Misra (2023) find that personalized pricing lowered prices for over 60% of the customers... primarily for the smallest enterprise customers". "Personalized pricing could help reduce nutritional inequality".

If a company can't offer a discount to someone who can't afford the full price, that person might not be able to buy the product at all.

• False
• True
• False
• False

A policymaker suggests banning all "personalized pricing" to protect consumers. Based on the paper, why might this actually hurt low-income consumers?

Personalized pricing is the only way companies make a profit.Low-income consumers prefer high prices as a status symbol.Banning it would violate international trade agreements.Personalized pricing often results in lower prices for those with lower willingness to pay (often poorer consumers), expanding their access to goods.

"Dubé and Misra (2023) find that personalized pricing lowered prices for over 60% of the customers... primarily for the smallest enterprise customers". "Personalized pricing could help reduce nutritional inequality".

If a company can't offer a discount to someone who can't afford the full price, that person might not be able to buy the product at all.

• False
• False
• False
• True

A startup wants to use "Privacy Enhancing Technologies" (PETs) to protect user data. Why does the paper suggest this might be more difficult for them compared to a large tech giant?

PETs are illegal for companies with fewer than 500 employees.PETs require small datasets, which startups don't have.Startups are naturally less ethical than large companies.Small firms have fewer data points, meaning adding "noise" (for privacy) might make their data useless (loss of utility), and they lack the technical expertise.

"PETs may have competitive consequences because firms with fewer customers have fewer data points. Small firms may require greater transformation of those data to protect individual privacy... exacerbating challenges for inference". "Many small firms also lack the technical expertise to implement PETs".

Differential privacy works best with massive datasets where "noise" washes out; in a small dataset, the "noise" might hide the actual signal entirely.

• False
• False
• False
• True

A startup wants to use "Privacy Enhancing Technologies" (PETs) to protect user data. Why does the paper suggest this might be more difficult for them compared to a large tech giant?

PETs require small datasets, which startups don't have.Startups are naturally less ethical than large companies.PETs are illegal for companies with fewer than 500 employees.Small firms have fewer data points, meaning adding "noise" (for privacy) might make their data useless (loss of utility), and they lack the technical expertise.

"PETs may have competitive consequences because firms with fewer customers have fewer data points. Small firms may require greater transformation of those data to protect individual privacy... exacerbating challenges for inference". "Many small firms also lack the technical expertise to implement PETs".

Differential privacy works best with massive datasets where "noise" washes out; in a small dataset, the "noise" might hide the actual signal entirely.

• False
• False
• False
• True

A startup wants to use "Privacy Enhancing Technologies" (PETs) to protect user data. Why does the paper suggest this might be more difficult for them compared to a large tech giant?

PETs require small datasets, which startups don't have.Startups are naturally less ethical than large companies.PETs are illegal for companies with fewer than 500 employees.Small firms have fewer data points, meaning adding "noise" (for privacy) might make their data useless (loss of utility), and they lack the technical expertise.

"PETs may have competitive consequences because firms with fewer customers have fewer data points. Small firms may require greater transformation of those data to protect individual privacy... exacerbating challenges for inference". "Many small firms also lack the technical expertise to implement PETs".

Differential privacy works best with massive datasets where "noise" washes out; in a small dataset, the "noise" might hide the actual signal entirely.

• False
• False
• False
• True

The paper concludes that privacy regulations often have "unintended consequences." Which of the following is NOT one of the unintended consequences discussed?

Increasing market concentration (favoring large firms).Potentially excluding marginalized communities from economic opportunities.Stifling innovation by entrepreneurs.Reducing the amount of spam email consumers receive.

The paper discusses innovation stifling , increased concentration , and exclusion of marginalized segments. It does not discuss spam reduction as a primary unintended consequence.

Look for the "negative" side effects listed in the abstract or introduction. Spam reduction would likely be considered a positive (intended or unintended) benefit, but it isn't a focus of the authors' critique.

• False
• False
• False
• True

The paper concludes that privacy regulations often have "unintended consequences." Which of the following is NOT one of the unintended consequences discussed?

Stifling innovation by entrepreneurs.Potentially excluding marginalized communities from economic opportunities.Increasing market concentration (favoring large firms).Reducing the amount of spam email consumers receive.

The paper discusses innovation stifling , increased concentration , and exclusion of marginalized segments. It does not discuss spam reduction as a primary unintended consequence.

Look for the "negative" side effects listed in the abstract or introduction. Spam reduction would likely be considered a positive (intended or unintended) benefit, but it isn't a focus of the authors' critique.

• False
• False
• False
• True

The paper concludes that privacy regulations often have "unintended consequences." Which of the following is NOT one of the unintended consequences discussed?

Stifling innovation by entrepreneurs.Reducing the amount of spam email consumers receive.Increasing market concentration (favoring large firms).Potentially excluding marginalized communities from economic opportunities.

The paper discusses innovation stifling , increased concentration , and exclusion of marginalized segments. It does not discuss spam reduction as a primary unintended consequence.

Look for the "negative" side effects listed in the abstract or introduction. Spam reduction would likely be considered a positive (intended or unintended) benefit, but it isn't a focus of the authors' critique.

• False
• True
• False
• False