Government by algorithm

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Government by algorithm topic overview

The analysis highlights History, Culture and Technology as prominent areas in the source structure around Government by algorithm.

Related topics: 189
Source areas: 6
Connected nodes: 195
Extracted relationships: 21
Related term clusters: 52
Bridge connections: 195

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Examples · 124 topics

History · 28 topics

Reception · 15 topics

Overview · 9 topics

In popular culture · 8 topics

General and cited references · 5 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore different angles and find fresh ideas to shape your next piece of content.

Government by algorithm

5E-government · Cyberocracy · Government

30Algorithm · Judiciary · Russian Academy of Sciences

9Tama, Tokyo · Artificial intelligence · Stock images

6Reputation system · Control theory · Feedback

14Smart contract · Cryptocurrencies · Decentralized autonomous organization

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Examples

Reception

In popular culture

General and cited references

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Government by algorithm connects Entity context

See recurring relationship patterns around Government by algorithm before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

algorithms government ai public algorithmic data also use systems algorithm used regulation governance code using citizens smart technology system city

Government by algorithm relationships Subject–Predicate–Object triples

TTTA extracted 21 structured relationships around Government by algorithm. Examples in this analysis include law enforcement → instance of → describes the use of algorithms to influence or govern sectors and legal expert system could evolve to computer systems → instance of → where he expressed optimism that the then-available computer technologies. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
law enforcement	instance of	describes the use of algorithms to influence or govern sectors	0.80	text
transportation	instance of	describes the use of algorithms to influence or govern sectors	0.80	text
and land registration	instance of	describes the use of algorithms to influence or govern sectors	0.80	text
legal expert system could evolve to computer systems	instance of	where he expressed optimism that the then-available computer technologies	0.80	text
which will strongly affect the practice of courts	instance of	where he expressed optimism that the then-available computer technologies	0.80	text
Georgia	instance of	Some countries	0.80	text
Sweden have already launched blockchain programs focusing on property	instance of	Some countries	0.80	text
AHIMA	instance of	since 1995.National health administration entities and organisations	0.80	text
increasing transparency	instance of	The paper discussing this possibility mentions that the use of ICT in procurement has several benefits	0.80	text
facilitating digital access to public tenders	instance of	The paper discussing this possibility mentions that the use of ICT in procurement has several benefits	0.80	text
reducing direct interaction between procurement officials	instance of	The paper discussing this possibility mentions that the use of ICT in procurement has several benefits	0.80	text
companies at moments of high integrity risk	instance of	The paper discussing this possibility mentions that the use of ICT in procurement has several benefits	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Government by algorithm bring nearby vocabulary together. In this analysis, examples include Government, Data and Governance. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Government by algorithm
- Government
- Data
- Governance
- Algorithms
- Transparency
- Algorithmic
- Ai
- Computer
- Use
- Agencies
- Systems
- Public
government by algorithm
- Transparency
- Government
- Data
- Governance
- Algorithms
- Algorithmic
- University
- Ai
- Computer
- Use
- Machine
- Agencies
algorithms
- Government
- Ai
- Regulation
- Use
- Algorithmic
- Information
- Systems
- Social
- Transparency
- Data
- Governance
- Used
form of government
- Data
- Transparency
- Ai
- Use
- Agencies
- Systems
- Public
- Information
- University
- Make
- Machine
- Us
open-sourcing of algorithms
- Government
- Ai
- Regulation
- Use
- Algorithmic
- Information
- Systems
- Social
- Transparency
- Data
- Governance
- Used
government auctions
- Data
- Transparency
- Ai
- Use
- Agencies
- Systems
- Public
- Information
- University
- Make
- Machine
- Us
smart city
- City
- Smart
- Artificial
- Intelligence
- Human
- Technology
- Use
- Used
- Data
- Public
- May
- Run
machine learning algorithm
- Transparency
- University
- Social
- Government
- Governance
- Algorithms
- Algorithmic
- Us
- Computer
- Machine
- Using
- Ai

Connections between topic areas Semantic bridges

For Government by algorithm, one of the stronger structural bridges in this analysis connects Government by algorithm with Examples. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Government by algorithm — Examples · splits 71 ⟂ 125

Government by algorithm — History · splits 167 ⟂ 29

Government by algorithm — Reception · splits 180 ⟂ 16

Government by algorithm — Overview · splits 186 ⟂ 10

Government by algorithm — In popular culture · splits 187 ⟂ 9

Government by algorithm — General and cited references · splits 190 ⟂ 6

Map overview Semantic statistics

Nodes196

Edges195

Triples21

Avg. degree1.99

Density0.010204

Components1

Source & methodology

TTTA analyzes the structure around Government by algorithm to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Culture & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Government by algorithm · EN edition · Analysis: TopicsToTalkAbout

Government by algorithm: History, Culture & Technology

Government by algorithm topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Examples

Reception

In popular culture

General and cited references

For the semantics nerds

Advanced semantic analysis

How Government by algorithm connects Entity context

Important terminology

Important terminology

Government by algorithm relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Government by algorithm

Source & methodology