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Avaaz: Politics, Regions & Measurement
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues such as climate change, human rights, animal rights, corruption, poverty, and conflict. The word avaaz means 'voice' in several Asian and European languages. In 2012, The Guardian referred to Avaaz as "the globe's largest and most powerful online activist…
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Avaaz topic overview
The analysis highlights Politics, Regions and Measurement as prominent areas in the source structure around Avaaz.
Related topics
42
Source areas
5
Connected nodes
47
Extracted relationships
81
Concept neighborhoods
14
Bridge connections
47
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.
Politics and rationale · 20 topics
Reception · 10 topics
Overview · 6 topics
Monsanto subpoena · 4 topics
Funding, campaigns and management · 2 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
January 2007; 19 years ago (2007-01)
Focus
Global community and political activism
Members
68,919,190 (as of April 2, 2025)
Region served
Worldwide
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Avaaz connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Avaaz shows recurring relationship patterns in the source. For example, Avaaz → Avaaz's, Brazil, Canadian, Ezra Levant, Ficha Limpa, George Soros, In, In February, Jillian York, John Baird, Levant's, Luís Nassif, Malcolm Gladwell, MoveOn, New Republic, Paul Conroy, Some, Soros, Syria, The Defensor Da Natureza's Another extracted example is Avaaz → Another, Brazil, Chinese Embassy, Dalai Lama, In, India, Lebanon, London, Once, One, Suggestions, The Economist, These, UK, World Health Organization. Use these groups to spot repeated connection types before inspecting the individual relationships.
Avaaz
Top relations
related to Reception· 20
Avaaz → Avaaz's, Brazil, Canadian, Ezra Levant, Ficha Limpa, George Soros, In, In February, Jillian York, John Baird, Levant's, Luís Nassif, Malcolm Gladwell, MoveOn, New Republic, Paul Conroy, Some, Soros, Syria, The Defensor Da Natureza's
related to Global campaigns selection process· 15
Avaaz → Another, Brazil, Chinese Embassy, Dalai Lama, In, India, Lebanon, London, Once, One, Suggestions, The Economist, These, UK, World Health Organization
related to Funding, campaigns and management· 10
Avaaz → Alternatively, Avaaz's, Before, Instead, Join, Members, On, Since, The, The Guardian
related to Monsanto subpoena· 10
Avaaz → In January, Lawyers, Missouri, Monsanto, Monsanto's, Monsanto's Roundup, New York, On September, The, US
related to Politics and rationale· 10
Avaaz → During, Former, Idealists, In, Internet, Iranian, Monsanto, Our, Ricken Patel, We
related to External links· 4
Avaaz → BBC World's HARDtalk, November, Ricken Patel, YouTube
Focus· 1
Avaaz → Global community and political activism
Founded· 1
Avaaz → January 2007; 19 years ago (2007-01)
Members· 1
Avaaz → 68,919,190 (as of April 2, 2025)
Region served· 1
Avaaz → Worldwide
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 81 structured relationships around Avaaz. Examples in this analysis include Avaaz → Focus → Global community and political activism and Avaaz → Founded → January 2007; 19 years ago (2007-01). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Avaaz
Focus
Global community and political activism
1.00
infobox
Avaaz
Founded
January 2007; 19 years ago (2007-01)
1.00
infobox
Avaaz
Members
68,919,190 (as of April 2, 2025)
1.00
infobox
Avaaz
Region served
Worldwide
1.00
infobox
Avaaz
Website
avaaz.org
1.00
infobox
Avaaz
is a
US-based nonprofit organization launched in 2007 that promotes global activism on issues such as climate change
0.90
text
climate change
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
human rights
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
animal rights
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
corruption
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
poverty
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
and conflict
instance of
Avaaz is a US-based nonprofit organization launched in 2007 that promotes global activism on issues
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Avaaz bring nearby vocabulary together. In this analysis, examples include Syria, Global and Members. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Avaaz
Syria
Global
Members
Accused
Also
Bid
British
Evacuation
Media
Monsanto
No-fly
Sky
avaaz
Syria
Global
Members
Accused
Also
Bid
British
Evacuation
Media
Monsanto
No-fly
Sky
activism
Avaaz's
Global
Campaigns
Change
Climate
Funding
Human
Also
Internet
May
Monsanto
Online
funding, campaigns and management
May
People
Global
Members
Also
Avaaz's
Monsanto
Political
Subpoena
World
Funding
Human
monsanto subpoena
Political
Funding
Action
Also
Monsanto
Subpoena
Activism
Global
Organization
Campaigns
World
Members
action on climate change
Change
Climate
Global
Human
Action
Monsanto
British
Organization
Campaign
World
Avaaz
climate change
Change
Climate
Global
Human
Action
Monsanto
Organization
World
petitions
May
No-fly
People
Political
War
Via
Syria
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Avaaz, one of the stronger structural bridges in this analysis connects Avaaz with Politics and rationale. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Avaaz
Nodes48
Edges47
Triples81
Avg. degree1.96
Density0.041667
Components1
Source & methodology
TTTA analyzes the structure around Avaaz to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Politics, Regions & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Avaaz · EN edition · Analysis: TopicsToTalkAbout
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