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Crowdcasting: Art, Internet-based crowdcasting & Push

Crowdcasting is the combination of broadcasting and crowdsourcing. The process of crowdcasting uses a combination of push and pull strategies first to engage an audience and build a network of participants and then harness the network for new insights. Those insights are then used to shape broadcast programming. These insights and concepts can include…

Language: English [EN]
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Crowdcasting topic overview

The analysis highlights Art, Internet-based crowdcasting and Push as prominent areas in the source structure around Crowdcasting.

Related topics
14
Source areas
5
Connected nodes
19
Extracted relationships
46
Concept neighborhoods
9
Bridge connections
19

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.

Internet-based crowdcasting · 9 topics
Overview · 2 topics
Differences · 1 topics
Pull · 1 topics
Push · 1 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

Push

Pull

Internet-based crowdcasting

Differences

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 Crowdcasting connects Entity context

The extracted context around Crowdcasting shows recurring relationship patterns in the source. For example, Crowdcasting → Aside, Canada, CBS, Clear Channel Communications, Cox Media Group, Cumulus, Europe, Harvard Broadcasting, LDR, Listener Driven Radio, Listener Driven Radio's, One, The, USA Another extracted example is Crowdcasting → Amazon, CrowdSpring, Elance, For, Forbes, Here, Internet-based, LG, Philips, Salesforce, Starbucks, Startups, The, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Crowdcasting

Top relations

related to Crowdcasting in action · 14
Crowdcasting → Aside, Canada, CBS, Clear Channel Communications, Cox Media Group, Cumulus, Europe, Harvard Broadcasting, LDR, Listener Driven Radio, Listener Driven Radio's, One, The, USA
related to Internet-based crowdcasting · 14
Crowdcasting → Amazon, CrowdSpring, Elance, For, Forbes, Here, Internet-based, LG, Philips, Salesforce, Starbucks, Startups, The, This
related to Pull · 9
Crowdcasting → InnoCentive, Instead, Its, Much, Once, Openpitch, The, UGC, What
related to References · 5
Crowdcasting → Business, Issue, November, Tuning, Volume
related to Push · 3
Crowdcasting → Ansari X-Prize, The, This
is a · 1
Crowdcasting → combination of broadcasting and crowdsourcing

Important terminology

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

Important terminology

insights crowdsourcing broadcasting community participants pull programming ideas new innovation listener submissions combination internet-based also push 'push' 'pull' openpitch like

Crowdcasting relationships Subject–Predicate–Object triples

TTTA extracted 46 structured relationships around Crowdcasting. Examples in this analysis include Crowdcasting → is a → combination of broadcasting and crowdsourcing and Crowdcasting → related to Crowdcasting in action → Aside. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Crowdcastingis acombination of broadcasting and crowdsourcing0.90text
Crowdcastingrelated to Crowdcasting in actionAside0.60section
Crowdcastingrelated to Crowdcasting in actionOne0.60section
Crowdcastingrelated to Crowdcasting in actionLDR0.60section
Crowdcastingrelated to Crowdcasting in actionListener Driven Radio0.60section
Crowdcastingrelated to Crowdcasting in actionThe0.60section
Crowdcastingrelated to Crowdcasting in actionClear Channel Communications0.60section
Crowdcastingrelated to Crowdcasting in actionCox Media Group0.60section
Crowdcastingrelated to Crowdcasting in actionCBS0.60section
Crowdcastingrelated to Crowdcasting in actionCumulus0.60section
Crowdcastingrelated to Crowdcasting in actionHarvard Broadcasting0.60section
Crowdcastingrelated to Crowdcasting in actionUSA0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Crowdcasting bring nearby vocabulary together. In this analysis, examples include Participants, Also and Pull. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Crowdcasting
    • Participants
    • Also
    • Pull
    • Action
    • Aspects
    • Audience
    • Engage
    • First
    • Harness
    • Involve
    • Push
    • Specific
  • crowdcasting
    • Participants
    • Also
    • Pull
    • Action
    • Aspects
    • Audience
    • Engage
    • First
    • Harness
    • Involve
    • Push
    • Specific
  • internet-based crowdcasting
    • Participants
    • Aspects
    • Involve
    • Push
    • Also
    • Pull
    • 'push'
    • Platforms
    • Innovation
    • Action
    • Audience
    • Engage
  • pull platforms
    • Innovation
    • Harness
    • Push
    • 'push'
    • Action
    • Aspects
    • Engage
    • Even
    • First
    • Involve
    • Network
    • Strategies
  • pull
    • Innovation
    • Harness
    • Push
    • 'push'
    • Action
    • Aspects
    • Engage
    • Even
    • First
    • Involve
    • Network
    • Strategies
  • push
    • Action
    • Aspects
    • Engage
    • First
    • Harness
    • Involve
    • Network
    • Strategies
    • 'push'
    • Also
    • Internet-based
    • New
  • broadcasting
    • Platforms
    • Crowdsourcing
    • Crowdcasting
    • Combination
    • Driven
    • Harness
    • Using
    • Also
    • Listener
    • Innovation
    • Programming
    • Pull
  • crowdsourcing
    • Harness
    • Platforms
    • Ideas
    • Innovation
    • Programming
    • Pull

Connections between topic areas Semantic bridges

For Crowdcasting, one of the stronger structural bridges in this analysis connects Crowdcasting with Internet-based crowdcasting. 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
Crowdcasting — Internet-based crowdcasting · splits 10 ⟂ 10
Crowdcasting — Overview · splits 17 ⟂ 3

Map overview Semantic statistics

Crowdcasting

Nodes20
Edges19
Triples46
Avg. degree1.9
Density0.1
Components1

Source & methodology

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

Source: Wikipedia — Crowdcasting · EN edition · Analysis: TopicsToTalkAbout

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