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WHLT: History, Measurement & Companies
WHLT (channel 22) is a television station in Hattiesburg, Mississippi, United States, affiliated with CBS and The CW Plus and owned by Nexstar Media Group. It is a semi-satellite of WJTV (channel 12) in Jackson. WHLT has studios in the Cloverleaf Center on US 49 in Hattiesburg; its transmitter is located in unincorporated northeastern Forrest County.
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WHLT topic overview
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around WHLT.
Related topics
53
Source areas
3
Connected nodes
56
Extracted relationships
118
Concept neighborhoods
20
Bridge connections
56
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.
History · 37 topics
Overview · 15 topics
Subchannels · 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Owner
Nexstar Media Group · (Nexstar Media Inc.)
Affiliations
22.1: CBS · 22.2: The CW Plus · for others, see § Subchannels
Branding
WHLT 22
Call sign meaning
Hattiesburg–Laurel Television
Channels
Digital: 22 (UHF) · Virtual: 22
City
Hattiesburg, Mississippi
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 WHLT 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 WHLT shows recurring relationship patterns in the source. For example, WHLT → Capitol Broadcasting Company, CBS, Central, Central Television, December, During, FCC, Federal Communications Commission, Grade, Hattiesburg, Hattiesburg's, In February, It, Jackson, Laurel, Meridian, Michigan, Mississippi, Mobile, New Orleans Another extracted example is WHLT → April, Cloverleaf, Cloverleaf Mall, Daily News, Ellis, Federal, Federal Broadcasting, Georgia, Hattiesburg, In January, In October, Its, May, Media General, Raycom, Raycom Media, Richmond, Richmond Times-Dispatch, Savannah, Stuart's. Use these groups to spot repeated connection types before inspecting the individual relationships.
WHLT
Top relations
related to Capitol vs. Central: Filling the CBS gap· 34
WHLT → Capitol Broadcasting Company, CBS, Central, Central Television, December, During, FCC, Federal Communications Commission, Grade, Hattiesburg, Hattiesburg's, In February, It, Jackson, Laurel, Meridian, Michigan, Mississippi, Mobile, New Orleans
related to Media General ownership and 22 Daily News· 27
WHLT → April, Cloverleaf, Cloverleaf Mall, Daily News, Ellis, Federal, Federal Broadcasting, Georgia, Hattiesburg, In January, In October, Its, May, Media General, Raycom, Raycom Media, Richmond, Richmond Times-Dispatch, Savannah, Stuart's
related to Early years· 21
WHLT → Atlanta, East Lansing, Ellis Communications, Hardy Street, Hattiesburg, In, It, Jackson, January, June, Michigan, New Vision Television, New Vision's, NPG's, On September, Separate, The, US, Within, WJTV
related to Nexstar ownership· 9
WHLT → In, January, Media General, Meredith Corporation, Nexstar, Nexstar Broadcasting Group, Nexstar Media Group, The, WJTV's
Affiliations· 3
WHLT → 22.1: CBS, 22.2: The CW Plus, for others, see § Subchannels
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 118 structured relationships around WHLT. Examples in this analysis include WHLT → Affiliations → 22.1: CBS and WHLT → Affiliations → 22.2: The CW Plus. The table shows each extracted connection, where it came from and its confidence.
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 WHLT bring nearby vocabulary together. In this analysis, examples include Wjtv, General and News. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
television station
Group
Nexstar
Owner
Mississippi
Central
Hattiesburg
Local
Media
Cbs
Cloverleaf
First
Transmitter
hattiesburg, mississippi
Wjtv
Group
Jackson
Nexstar
Television
Whlt
Construction
Daily
Laurel
Owner
Permit
Cbs
cbs
Wjtv
Lost
Mississippi
Hattiesburg
Whlt
Station
Affiliation
Group
Nexstar
Signal
Television
Years
nexstar media group
Group
Nexstar
General
Media
Television
January
Mississippi
Whlt
Daily
Broadcasting
First
Transmitter
media general
General
Media
Group
Nexstar
January
Whlt
Daily
Television
Wjtv
Broadcasting
Mississippi
News
hattiesburg
Wjtv
Jackson
Whlt
Television
Cbs
Laurel
Owner
Mississippi
News
Media
Newscasts
Group
satellite station
Local
Cbs
Cloverleaf
Began
Jackson
News
Newscasts
Wjtv
First
Group
Nexstar
Television
a michigan radio station
Local
Cbs
Cloverleaf
Began
Jackson
News
Newscasts
Wjtv
First
Group
Nexstar
Television
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 WHLT, one of the stronger structural bridges in this analysis connects WHLT with History. 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.
WHLT
Nodes57
Edges56
Triples118
Avg. degree1.96
Density0.035088
Components1
Source & methodology
TTTA analyzes the structure around WHLT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WHLT · EN edition · Analysis: TopicsToTalkAbout
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