Contribution to the handbook
Supporting · Assessed 2026-10-28
The campaign account supplies a concrete example of multiple input channels, visualizing perspectives, discussing policy feedback, and answering questions. These are potentially useful implementation patterns, but the evidence is about a campaign rather than governing institutions and does not establish representativeness or impact.
Does this challenge the goal?
In-scope gap
The question examines practical ways to gather, display, and respond to public input, within the existing goal of serving citizens.
The campaign example does not establish that participants represented the electorate or that the tools caused electoral outcomes.
Why this category?
- Useful implementation example for public-input channels and feedback
Reported activities and figures are attributed to the chapter. The evidence does not assess who participated, how representative the input was, or what would have happened without the tools.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
Making and interpreting laws →
Authority, accountability and resilience →
Tests, stop conditions and unresolved work →
Read the exploration goalNew evidence is being assessed. Any answer below is provisional; parts whose evidence changed or was withdrawn are withheld.
Identify the digital channels Anno used to solicit input and the tools used to display public perspectives.
What we can say so far
In Takahiro Anno’s 2024 Tokyo gubernatorial campaign, the chapter says he invited feedback through X, Google Forms, AI-handled calls, and GitHub. It reports that Talk to the City was used to visualize public perspectives, while GitHub discussions were used to refine policies.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- This is the chapter’s account of Anno’s campaign; it does not assess who participated 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.
Identifies the feedback channels and the tools used to visualize perspectives and refine policies.
Plurality — Augmented Deliberation
Read full source: Plurality — Augmented Deliberation (opens in a new tab) ↗Read source discussion: Plurality — Augmented Deliberation →
Describe how the campaign used digital tools to answer questions and incorporate or discuss policy feedback.
What we can say so far
The chapter reports that Anno’s campaign published his manifesto online and invited feedback through X, Google Forms, AI-handled calls, and GitHub. It 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 answered questions around the clock; the chapter also reports that it answered about 7,400 questions over 16 days, or 77% of submitted inquiries.
What remains open
No material gap is recorded within this part’s current scope.
Conditions and limits
- These are activities and figures reported in the Augmented Deliberation chapter; other chapters are not included.
- The chapter does not assess who participated or how representative the input was.
- The reported figures do not establish that the tools caused broader campaign or electoral effects.
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.
Describes the feedback channels, visualization and GitHub policy discussions, reported refinement figures, and the avatar’s question-answering role.
Plurality — Augmented Deliberation
Read full source: Plurality — Augmented Deliberation (opens in a new tab) ↗Read source discussion: Plurality — Augmented Deliberation →
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.