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Text messaging: History, Culture, Applications & Art

Text messaging, or texting, is the act of composing and sending electronic messages, typically consisting of alphabetic and numeric characters, between two or more users of mobile phones, tablet computers, smartwatches, desktops/laptops, or another type of compatible computer. Text messages may be sent over a cellular network or may also be sent via…

Language: English [EN]
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Text messaging topic overview

The analysis highlights History, Culture, Applications and Art as prominent areas in the source structure around Text messaging. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
201
Source areas
8
Connected nodes
210
Extracted relationships
290
Related term clusters
32
Bridge connections
210

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.

Social effects · 70 topics
Overview · 36 topics
History · 34 topics
Uses · 18 topics
Worldwide · 16 topics
Challenges · 12 topics
Applications · 11 topics
In popular culture · 5 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.

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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

History

Uses

Applications

Worldwide

Social effects

Challenges

In popular culture

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Text messaging connects Entity context

The extracted context around Text messaging shows recurring relationship patterns in the source. For example, Text messaging → Alternative Records, Andrew Acklin, Chris Young, Craig Crosbie, Dunedin, Elliot Nicholls, Fred Lindgren, Guinness, Italian, Kristiansen, May, New Zealand, Norway, November, Ohio, Oregon, Pygocentrus, Ripley's Believe It Or, Salem, Scottish Another extracted example is Text messaging → Adrian Năstase, Also, American, Andrés Manuel López Obrador, Democratic, Detroit Mayor Kwame Kilpatrick, Estrada, Felipe Calderón, In January, January, Joseph Estrada, Manila, Marcos, Mexico's, People, People Power, Philippines, President Joseph Estrada, Republican National Conventions, Romania. Use these groups to spot repeated connection types before inspecting the individual relationships.

Text messaging

Top relations

related to Records and competition · 29
Text messaging → Alternative Records, Andrew Acklin, Chris Young, Craig Crosbie, Dunedin, Elliot Nicholls, Fred Lindgren, Guinness, Italian, Kristiansen, May, New Zealand, Norway, November, Ohio, Oregon, Pygocentrus, Ripley's Believe It Or, Salem, Scottish
related to In politics · 25
Text messaging → Adrian Năstase, Also, American, Andrés Manuel López Obrador, Democratic, Detroit Mayor Kwame Kilpatrick, Estrada, Felipe Calderón, In January, January, Joseph Estrada, Manila, Marcos, Mexico's, People, People Power, Philippines, President Joseph Estrada, Republican National Conventions, Romania
related to Social unrest · 21
Text messaging → Australia, Cronulla, Cronulla Beach, Daily Telegraph, Following, In Hong Kong, Internet, Iranian, January, Melbourne, Myspace, Narre Warren, NSW, Officials, Police Commissioner, Retaliatory, SMS, Sutherland Shire Mayor, Sydney, Texting
related to Effect on language · 20
Text messaging → Children, Chinese, Cyrillic, Eatoni's LetterWise, Greek, Highly, Historically, HMU, In Mandarin Chinese, In November, Internet, Latin, New Zealand Qualifications Authority, Polish, Predictive, QWERTY, SMS, Tegic's T9, ThisIsVeryLame, Unicode
related to Law and crime · 17
Text messaging → AES, Australian, Boston, British, Fortress SMS, Malaysia, Malaysian, Netherlands, One, Police, Several, SMS, SMS Alerts, Swedish, Text, The Boston Police Department, Tilburg
related to New Zealand · 17
Text messaging → August, Bellsouth New Zealand, CallMe, Chorus Ltd, July, Mobile Ltd, MVNOs, New Zealand, One NZ, SafeTXT, Spark, Spark NZ, Telecom NZ, Text, TXT, Vodafone, Vodafone NZ
related to Uses · 15
Text messaging → Africa, American, Asia, Asians, Australia, China, Europe, Flash SMS, Japan, New Zealand, Popularity, SMS, Text, Texting, United States
related to Pricing concerns · 13
Text messaging → Although, Concerns, Gartner, Germany, Given, Hollywood, July, Mobility, Senate, Sherman Antitrust Act, SMS, United States, World
related to In workplaces · 12
Text messaging → December, Electronic Communications, Financial Industry Regulatory Authority, FINRA, In Regulatory Notice, Industry, One, Penn State, Regulatory Notice, Several, SMS, Supervision
related to United States · 11
Text messaging → CTIA, December, Many, May, MMS, Moreover, SMS, T's, The Pew Research Center, United States, US

Important terminology

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

Important terminology

text messages sms messaging mobile texting used use also sent phone message service services users short using send one per

Text messaging relationships Subject–Predicate–Object triples

TTTA extracted 290 structured relationships around Text messaging. Examples in this analysis include Text messaging → is a → much easier and SMTP over TCP/IP → instance of → also typically use standard mail protocols. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Text messagingis amuch easier0.90text
SMTP over TCP/IPinstance ofalso typically use standard mail protocols0.80text
Finlandinstance ofIn countries0.80text
Swedeninstance ofIn countries0.80text
and Norwayinstance ofIn countries0.80text
over 85instance ofIn countries0.80text
SMS can also be used for the remote control of home appliancesinstance ofSome text messages0.80text
an emergencyinstance ofIt can be useful in cases0.80text
Facebook Messenger/WhatsAppinstance ofServices0.80text
Signalinstance ofServices0.80text
SMSinstance ofand real-time messaging0.80text
instant messaginginstance ofand real-time messaging0.80text

Related concept clusters Related term clusters

The concept neighborhoods around Text messaging bring nearby vocabulary together. In this analysis, examples include Text, Messages and Sent. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Text messaging
    • Text
    • Messages
    • Sent
    • Message
    • Also
    • Use
    • Send
    • Mobile
    • Sms
    • Used
    • Phone
    • One
  • mobile phones
    • Phone
    • Phones
    • Sms
    • Services
    • Students
    • Users
    • Short
    • Service
    • Citation
    • Needed
    • Network
    • Using
  • mobile network operator
    • Phone
    • Phones
    • Sms
    • Services
    • Users
    • Short
    • Service
    • Citation
    • Needed
    • Network
    • Use
    • Using
  • messages
    • Text
    • Sent
    • Sms
    • Short
    • Send
    • Mobile
    • Used
    • Users
    • Per
    • Citation
    • Needed
    • Phones
  • mobile marketing association
    • Phone
    • Phones
    • Sms
    • Services
    • Users
    • Short
    • Service
    • Citation
    • Needed
    • Network
    • Use
    • Using
  • language
    • Use
    • Students
    • New
    • Texts
    • Text
    • Messaging
    • Example
    • Using
    • Texting
    • Used
    • Services
    • Message
  • lg mobile world cup
    • Phone
    • Phones
    • Sms
    • Services
    • Users
    • Short
    • Service
    • Citation
    • Needed
    • Network
    • Use
    • Using
  • text messaging
    • Text
    • Messages
    • Sent
    • Message
    • Use
    • Mobile
    • Also
    • Citation
    • Needed
    • Services
    • Sms
    • Service

Connections between topic areas Semantic bridges

For Text messaging, one of the stronger structural bridges in this analysis connects Text messaging with Social effects. 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
Text messaging — Social effects · splits 140 ⟂ 71
Text messaging — Overview · splits 174 ⟂ 37
Text messaging — History · splits 176 ⟂ 35
Text messaging — Uses · splits 192 ⟂ 19
Text messaging — Worldwide · splits 194 ⟂ 17
Text messaging — Challenges · splits 198 ⟂ 13
Text messaging — Applications · splits 199 ⟂ 12
Text messaging — In popular culture · splits 205 ⟂ 6

Map overview Semantic statistics

Text messaging

Nodes211
Edges210
Triples290
Avg. degree1.99
Density0.009479
Components1

Source & methodology

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

Source: Wikipedia — Text messaging · EN edition · Analysis: TopicsToTalkAbout

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