Policy Impact Analysis - 117/HR/7120

Bill Overview

Title: DASHBOARD Act of 2022

Description: This bill requires commercial data operators (i.e., large consumer online services providers or data brokers) to disclose to users what types of user data are collected, and the usage and value of that data. Commercial data operators must also provide users with a way to delete this data. Violations of these requirements are enforced by the Federal Trade Commission. Commercial data operators that issue securities must report the value of their user data and the value of any third-party contracts made for the collection of user data.

Sponsors: Rep. Foster, Bill [D-IL-11]

Target Audience

Population: People using large consumer online service providers or data brokers

Estimated Size: 250000000

Reasoning

Simulated Interviews

Digital Marketing Specialist (New York, NY)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • I think it's great to know what they do with my data.
  • As a marketer, this transparency helps me understand consumer trust too.
  • Deleting data should be common practice.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 6
Year 10 8 5
Year 20 7 4

Software Developer (Los Angeles, CA)

Age: 50 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • Finally, some better control over data.
  • I'm curious about seeing the value they place on my info.
  • Hope this improves trust in technology.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 9 8
Year 5 8 7
Year 10 8 6
Year 20 7 5

Data Analyst (Austin, TX)

Age: 27 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • Having control over my data is a step forward.
  • Transparency could change my habits online.
  • I'll definitely look at what info is being shared.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 7 5
Year 20 6 4

High School Teacher (Atlanta, GA)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 2.5 years

Commonness: 14/20

Statement of Opinion:

  • Good to know what social media does with my data.
  • Deleting unnecessary data should be encouraged.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 5
Year 10 6 5
Year 20 5 4

Retired (Chicago, IL)

Age: 60 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 6/20

Statement of Opinion:

  • Doesn't really affect me much.
  • I might look into deleting old accounts.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 5 5
Year 5 5 5
Year 10 5 5
Year 20 4 4

Student (Portland, OR)

Age: 18 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 18/20

Statement of Opinion:

  • It's important to know what's being done with my data.
  • I might adjust my privacy settings.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 6
Year 10 7 5
Year 20 6 4

Entrepreneur (Seattle, WA)

Age: 45 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Transparency is good for user trust.
  • Will have to adapt business practices accordingly.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 9
Year 2 9 9
Year 3 10 9
Year 5 9 8
Year 10 9 7
Year 20 8 6

Graphic Designer (Miami, FL)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • Curious about my data's value.
  • I'll take control of my privacy settings.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 7 5
Year 10 6 5
Year 20 5 4

Freelance Writer (Denver, CO)

Age: 31 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 1.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy won't change much for me.
  • Good to have the option to delete unused data.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 6 5
Year 5 6 5
Year 10 5 5
Year 20 4 4

College Student (Phoenix, AZ)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 16/20

Statement of Opinion:

  • It's about time they let us know about data usage.
  • I'm hoping more platforms adopt this transparency.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 7 5
Year 10 7 5
Year 20 6 4

Cost Estimates

Year 1: $80000000 (Low: $60000000, High: $100000000)

Year 2: $70000000 (Low: $55000000, High: $95000000)

Year 3: $70000000 (Low: $55000000, High: $95000000)

Year 5: $65000000 (Low: $55000000, High: $90000000)

Year 10: $55000000 (Low: $50000000, High: $80000000)

Year 100: $40000000 (Low: $30000000, High: $60000000)

Key Considerations