Contribution to the handbook
Supporting · Assessed 2026-10-28
The reported campaign figures and channels provide a concrete, bounded example of collecting and responding to public input. They may inform background on practical scale, but the packet does not establish representativeness, causal effects, or transferability to governance. The election statistics should not be treated as evidence of system effectiveness.
Does this challenge the goal?
In-scope gap
The question concerns a reported example of public input and electoral participation, which can provide bounded background for the existing goal; it does not contest the goal.
The supplied figures are attributed to the chapter and do not show that the tools caused the election result or that the campaign represents a governance system.
Why this category?
- implementation
The supplied records report chapter figures and an author inference from one election, not independent verification, a causal comparison, or evidence about who participated.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
- What does the chapter infer from Anno’s election result about public participation in elections?
- How did Anno use digital tools to gather, show, and respond to public input?
- What campaign and election figures does the chapter report for Anno?
- Reported campaign figures
- Public participation in elections
- Public input in a campaign
Making and interpreting laws →
Read the exploration goalNew evidence is being assessed. Any answer below is provisional; parts whose evidence changed or was withdrawn are withheld.
Give the chapter’s figures for issues raised, change proposals submitted, and proposals adopted, including the reported time period.
What we can say so far
The chapter reports that over 15 days of Anno’s 2024 Tokyo gubernatorial campaign, 232 issues were raised, 104 change proposals were submitted, and 85 were adopted.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- These are figures reported in the chapter; the evidence does not establish broader effects or how representative the input was.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Public input in a campaign In Tokyo’s 2024 gubernatorial election, Takahiro Anno published his manifesto online and invited feedback through X, Google Forms, AI-handled calls, and GitHub. The campaign used Talk to the City to visualize perspectives and GitHub discussions to refine policies. The chapter reports that over 15 days, 232 issues were raised, 104 change proposals were submitted, and 85 were adopted. An AI avatar on YouTube also answered questions around the clock.
Provides the three figures and the 15-day period.
Plurality — Augmented Deliberation
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context
How did Anno use digital tools to gather, show, and respond to public input?Provides related question context, not factual support.
Plurality — Augmented Deliberation
Read full source: Plurality — Augmented Deliberation (opens in a new tab) ↗Give the chapter’s figures for questions answered by the AI avatar, its share of inquiries, and the reported time period.
What we can say so far
The chapter reports that Anno’s AI avatar answered about 7,400 questions over 16 days, representing 77% of submitted inquiries.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- These are figures reported by the chapter; they do not establish that the avatar caused any election result.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Reported campaign figures The chapter reports that Anno’s AI avatar answered about 7,400 questions over 16 days, or 77% of submitted inquiries. It says this exceeded what one person could answer in a lecture with one speaker and multiple viewers. Anno received more than 150,000 votes, equal to 2.3% of the vote, and finished fifth. The chapter says this was the highest vote total for a candidate in their thirties across the previous 22 Tokyo gubernatorial elections.
Directly supports all three requested figures.
Plurality — Augmented Deliberation
Read full source: Plurality — Augmented Deliberation (opens in a new tab) ↗Read source discussion: Plurality — Augmented Deliberation →
Give the reported vote total, vote share, finishing position, and the chapter’s historical comparison.
What we can say so far
The chapter reports that Anno received more than 150,000 votes, or 2.3% of the vote, and finished fifth. It says this was the highest vote total for a candidate in their thirties across the previous 22 Tokyo gubernatorial elections.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- These are figures and a comparison reported by the chapter; they do not establish that AI caused the result.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Reported campaign figures The chapter reports that Anno’s AI avatar answered about 7,400 questions over 16 days, or 77% of submitted inquiries. It says this exceeded what one person could answer in a lecture with one speaker and multiple viewers. Anno received more than 150,000 votes, equal to 2.3% of the vote, and finished fifth. The chapter says this was the highest vote total for a candidate in their thirties across the previous 22 Tokyo gubernatorial elections.
Provides all requested election figures and the historical comparison.
Plurality — Augmented Deliberation
Read full source: Plurality — Augmented Deliberation (opens in a new tab) ↗Read source discussion: Plurality — Augmented Deliberation →
context
Public participation in elections The authors say Anno’s more than 150,000 votes suggest that Talk to the City’s technological potential, together with the participatory and discussion-focused qualities of platforms such as vTaiwan and Polis, can extend meaningfully into elections. They do not show that these tools caused his result.
Discusses the authors’ inference about public participation, outside this part’s requested figures.
Plurality — Augmented Deliberation
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