Policy Impact Analysis - 117/HR/8041

Bill Overview

Title: China Social Media Reciprocity Act

Description: This bill authorizes the President to impose sanctions by requiring social media companies to block certain individuals and entities from using the company's social media services. The bill also requires the President to impose such sanctions on certain individuals and entities, including those that a social media company knows or should have known are (1) on the Office of Foreign Asset Control's list of specially designated nationals and blocked persons, (2) senior officials in China's government, or (3) agents or instrumentalities of the Chinese Communist Party (CCP) or China's government. The President may waive such sanctions if the President certifies to Congress that the CCP and China's government have removed all prohibitions on U.S. government officials participating in social media platforms in China.

Sponsors: Rep. Mast, Brian J. [R-FL-18]

Target Audience

Population: Individuals using social media platforms globally

Estimated Size: 240000000

Reasoning

Simulated Interviews

Software Engineer (San Francisco, CA)

Age: 32 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I understand the need for security, but this might disrupt international collaboration.
  • The compliance costs might trickle down to employees.

Wellbeing Over Time (With vs Without Policy)

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

Financial Analyst (Chicago, IL)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • Blocking some accounts may make my job harder.
  • I support security measures if they are necessary.

Wellbeing Over Time (With vs Without Policy)

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

Senior Compliance Officer (New York, NY)

Age: 41 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • This will add more layers to compliance but it's part of the job.
  • The challenge is ensuring fairness in who gets blocked.

Wellbeing Over Time (With vs Without Policy)

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

Student (Austin, TX)

Age: 23 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • I hope educational content isn't restricted.
  • It might be difficult for international students.

Wellbeing Over Time (With vs Without Policy)

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

Retired Engineer (Buffalo, NY)

Age: 65 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 8/20

Statement of Opinion:

  • I rarely interact with these platforms, so I don't see an impact to me.
  • It's important to secure our networks, though.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 9
Year 2 9 9
Year 3 9 9
Year 5 9 9
Year 10 9 9
Year 20 9 9

International Business Consultant (Los Angeles, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This might complicate my networking.
  • I understand the importance but it could disrupt business ties.

Wellbeing Over Time (With vs Without Policy)

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

Teacher (Seattle, WA)

Age: 37 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • I don't envision much change for myself.
  • I hope it's administered wisely.

Wellbeing Over Time (With vs Without Policy)

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

Warehouse Manager (Dallas, TX)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 11/20

Statement of Opinion:

  • I don't think it will really affect how I use my accounts.
  • It's good that they are keeping track of threats.

Wellbeing Over Time (With vs Without Policy)

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

Government Contractor (Houston, TX)

Age: 54 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • There might be more hoops to jump through, but that's nothing new.
  • We need to protect our communications integrity.

Wellbeing Over Time (With vs Without Policy)

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

Freelance Writer (Miami, FL)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 4/20

Statement of Opinion:

  • This might limit my sources and viewpoints.
  • I see the need for such measures but hope they don't overreach.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $300000000 (Low: $250000000, High: $350000000)

Year 2: $300000000 (Low: $250000000, High: $350000000)

Year 3: $310000000 (Low: $260000000, High: $360000000)

Year 5: $320000000 (Low: $270000000, High: $370000000)

Year 10: $340000000 (Low: $290000000, High: $390000000)

Year 100: $400000000 (Low: $350000000, High: $450000000)

Key Considerations