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Open-source journalism: Art & Technology

Open-source journalism, a close cousin to citizen journalism or participatory journalism, is a term coined in the title of a 1999 article by Andrew Leonard of Salon.com. Although the term was not actually used in the body text of Leonard's article, the headline encapsulated a collaboration between users of the internet technology blog Slashdot and a…

Language: English [EN]
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Open-source journalism topic overview

The analysis highlights Art and Technology as prominent areas in the source structure around Open-source journalism.

Related topics
45
Source areas
3
Connected nodes
48
Extracted relationships
14
Concept neighborhoods
17
Bridge connections
48

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.

Wiki journalism · 25 topics
Overview · 16 topics
Usage · 4 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.

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

Usage

Wiki journalism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Open-source journalism connects Entity context

The extracted context around Open-source journalism shows recurring relationship patterns in the source. For example, Open-source journalism → Anyone, At, Given, However, Yet. Use these groups to spot repeated connection types before inspecting the individual relationships.

Open-source journalism

Top relations

related to Usage · 5
Open-source journalism → Anyone, At, Given, However, Yet

Important terminology

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

Important terminology

wiki journalism news wikis also users online community technology article story used term wikipedia open open-source may one experiment use

Open-source journalism relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Open-source journalism. Examples in this analysis include the copyright newspaper NorthWest Voice → instance of → as exemplified by projects and Hurricane Katrina → instance of → Stuart identify Wikinews and Wikipedia as becoming particularly important during crises. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
the copyright newspaper NorthWest Voiceinstance ofas exemplified by projects0.80text
Hurricane Katrinainstance ofStuart identify Wikinews and Wikipedia as becoming particularly important during crises0.80text
whichinstance ofStuart identify Wikinews and Wikipedia as becoming particularly important during crises0.80text
Slashdotinstance ofcitizen journalism models such as OhMyNews and peer-to-peer publishing models0.80text
and whichinstance ofcitizen journalism models such as OhMyNews and peer-to-peer publishing models0.80text
he arguesinstance ofcitizen journalism models such as OhMyNews and peer-to-peer publishing models0.80text
a music festival or protest marchinstance ofexperiences of a large event0.80text
guides to local restaurants or shopsinstance ofexperiences of a large event0.80text
or adviceinstance ofexperiences of a large event0.80text
Open-source journalismrelated to UsageAt0.60section
Open-source journalismrelated to UsageYet0.60section
Open-source journalismrelated to UsageAnyone0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Open-source journalism bring nearby vocabulary together. In this analysis, examples include Term, Use and Technology. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Open-source journalism
    • Term
    • Use
    • Technology
    • Open-source
    • Wikis
    • Users
    • Blogs
    • Journalist
    • Lih
    • Software
    • Source
    • Wikinews
  • open-source journalism
    • Term
    • Use
    • Technology
    • Also
    • Wiki
    • Open-source
    • Open
    • Online
    • Wikis
    • Users
    • Blogs
    • Journalist
  • citizen journalism
    • Technology
    • Also
    • Wiki
    • Open-source
    • Term
    • Open
    • Online
    • Wikis
    • Users
    • Blogs
    • Journalist
    • Lih
  • participatory journalism
    • Technology
    • Also
    • Wiki
    • Open-source
    • Term
    • Open
    • Online
    • Wikis
    • Users
    • Blogs
    • Journalist
    • Lih
  • online journalism
    • Technology
    • Also
    • Wiki
    • Open-source
    • Term
    • News
    • Software
    • Within
    • Open
    • Used
    • Online
    • Wikis
  • online community
    • Notes
    • News
    • Software
    • Term
    • Wikis
    • Within
    • Used
    • Wikinews
    • Would
    • New
    • Experiment
    • One
  • collaborative journalism
    • Technology
    • Also
    • Wiki
    • Open-source
    • Term
    • Open
    • Online
    • Wikis
    • Users
    • Blogs
    • Journalist
    • Lih
  • wiki journalism
    • Technology
    • Also
    • Users
    • One
    • Wiki
    • Open
    • Open-source
    • Term
    • Wikis
    • Lih
    • Would
    • Wikipedia

Connections between topic areas Semantic bridges

For Open-source journalism, one of the stronger structural bridges in this analysis connects Open-source journalism with Wiki journalism. 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
Open-source journalism — Wiki journalism · splits 23 ⟂ 26
Open-source journalism — Overview · splits 32 ⟂ 17
Open-source journalism — Usage · splits 44 ⟂ 5

Map overview Semantic statistics

Open-source journalism

Nodes49
Edges48
Triples14
Avg. degree1.96
Density0.040816
Components1

Source & methodology

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

Source: Wikipedia — Open-source journalism · EN edition · Analysis: TopicsToTalkAbout

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