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WFMU: History & Measurement

WFMU (91.1 MHz) is a non-commercial, listener-supported, independent community radio station licensed to East Orange, New Jersey, with studios in Jersey City. It is owned by Auricle Communications, broadcasting a free-form radio format. The station holds periodic on-air fundraisers and seeks donation on its website.

Language: English [EN]
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WFMU topic overview

The analysis highlights History and Measurement as prominent areas in the source structure around WFMU.

Related topics
87
Source areas
4
Connected nodes
91
Extracted relationships
109
Concept neighborhoods
25
Bridge connections
91

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.

The Audience Engine · 36 topics
Overview · 21 topics
History · 17 topics
Philosophy and awards · 13 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.

Owner
Auricle Communications
Branding
91.1 WFMU
Broadcast area
New York metropolitan area
Call sign meaning
FM Upsala College (former owner)
Class
A
ERP
1,250 watts

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

Philosophy and awards

History

The Audience Engine

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 WFMU connects Entity context

The extracted context around WFMU shows recurring relationship patterns in the source. For example, WFMU → Andrew Nealon, Apple, Audience Engine, Audience Engine’s, Bocoup, Bocoup's, Early, Google, InsertCulture, January, Joey Dehnert, Microsoft, Walmart, WordPress Another extracted example is WFMU → American Archive, Facility ID, FCC Licensing, FCCdata, Federal Communications Commission, Guide, History Cards, Management SystemW220EJ, Management SystemWFMU, Nielsen Audio's FM, Official, Public Broadcasting Facility, W220EJ. Use these groups to spot repeated connection types before inspecting the individual relationships.

WFMU

Top relations

related to Development team · 14
WFMU → Andrew Nealon, Apple, Audience Engine, Audience Engine’s, Bocoup, Bocoup's, Early, Google, InsertCulture, January, Joey Dehnert, Microsoft, Walmart, WordPress
related to External links · 13
WFMU → American Archive, Facility ID, FCC Licensing, FCCdata, Federal Communications Commission, Guide, History Cards, Management SystemW220EJ, Management SystemWFMU, Nielsen Audio's FM, Official, Public Broadcasting Facility, W220EJ
related to Upsala College · 13
WFMU → April, August, Bruce Longstreet, But, By, DJ, East Orange, In December, Initially, Ken Freedman, New Jersey, New York City, Upsala College
related to Philosophy and awards · 12
WFMU → DJs, Elvis, Hand People, Its, Jaime Wolf, Lothar, Most, Mothra, New York Times, Singing Dogs, Sumatra, Sun Ra's Arkestra
related to The Audience Engine · 9
WFMU → Audience Engine, Besides, Congera Corporation, It, November, The, The Audience Engine, WFMU Radio, WFMU's
related to Streaming · 6
WFMU → Apple, In January, In November, Palm OS, Pocket PC, Windows Mobile
related to Auricle Communications · 5
WFMU → Auricle, Auricle Communications, In, Upsala College, WFMU's
see also · 5
WFMU → FM, List, Mount Hope, New York, United StatesList
related to Monty Hall · 4
WFMU → In, Montgomery Street, Monty Hall, That
Public license information · 2
WFMU → LMS, Public file

Important terminology

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

Important terminology

station radio audience new engine website york college mhz also jersey 91 auricle communications broadcasting development public orange independent transmitter

WFMU relationships Subject–Predicate–Object triples

TTTA extracted 109 structured relationships around WFMU. Examples in this analysis include WFMU → Branding → 91.1 WFMU and WFMU → Broadcast area → New York metropolitan area. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
WFMUBranding91.1 WFMU1.00infobox
WFMUBroadcast areaNew York metropolitan area1.00infobox
WFMUCall sign meaningFM Upsala College (former owner)1.00infobox
WFMUClassA1.00infobox
WFMUERP1,250 watts1.00infobox
WFMUFacility ID32491.00infobox
WFMUFirst air dateApril 1958 (1958-04)1.00infobox
WFMUFormatFree-form radio1.00infobox
WFMUFrequency91.1 MHz1.00infobox
WFMUHAAT151 meters (495 ft)1.00infobox
WFMULicensing authorityFCC1.00infobox
WFMUOwnerAuricle Communications1.00infobox
WFMUPublic license informationPublic file1.00infobox
WFMUPublic license informationLMS1.00infobox
WFMURepeater90.1 WMFU (Mount Hope, New York)1.00infobox
WFMUTranslator91.9 W220EJ (Weehawken)1.00infobox
WFMUTransmitter coordinates.mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars…1.00infobox
WFMUWebcastListen live1.00infobox
WFMUWebsitewfmu.org1.00infobox
WFMUis aClass A station0.90text
WFMUis aplace where the Singing Dogs are just as important as Elvis0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around WFMU bring nearby vocabulary together. In this analysis, examples include York, Management and Website. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • mhz
    • Jersey
    • East
    • Hope
    • Licensed
    • Mount
    • New
    • Translator
    • Transmitter
    • York
    • City
    • Orange
    • Also
  • community radio
    • Wfmu
    • Licensed
    • Media
    • Station
    • Management
    • Radio
    • Also
    • Audience
    • Website
    • Engine
    • New
    • Public
  • east orange, new jersey
    • Orange
    • York
    • Jersey
    • City
    • Mhz
    • New
    • Upsala
    • Transmitter
    • Station
    • Hope
    • Independent
    • Licensed
  • jersey city
    • City
    • Jersey
    • Mhz
    • New
    • Orange
    • East
    • Hope
    • Licensed
    • Mount
    • Transmitter
    • Upsala
    • York
  • radio format
    • Wfmu
    • Station
    • Also
    • Audience
    • Engine
    • New
    • Media
    • Public
    • Broadcasting
    • College
    • Website
    • York
  • west orange
    • Jersey
    • Transmitter
    • Upsala
    • City
    • New
    • College
    • York
    • Weehawken
    • Fcc
    • Fm
    • Hope
    • Mount
  • fm translator
    • Weehawken
    • Fcc
    • Hope
    • Mount
    • Translator
    • W220ej
    • Website
    • York
    • Licensed
    • Transmitter
    • Upsala
    • New
  • sister station
    • New
    • Website
    • York
    • Wfmu
    • Licensed
    • Also
    • Hope
    • Mount
    • City
    • Programming
    • Station's
    • Jersey

Connections between topic areas Semantic bridges

For WFMU, one of the stronger structural bridges in this analysis connects WFMU with The Audience Engine. 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
WFMUThe Audience Engine · splits 55 ⟂ 37
WFMUOverview · splits 70 ⟂ 22
WFMUHistory · splits 74 ⟂ 18
WFMUPhilosophy and awards · splits 78 ⟂ 14

Map overview Semantic statistics

WFMU

Nodes92
Edges91
Triples109
Avg. degree1.98
Density0.021739
Components1

Source & methodology

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

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

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