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LOL: Themes & History

LOL, or lol, is an acronym for "laughing out loud", and a popular element of Internet slang, which can be used to indicate amusement. It was first used almost exclusively on Usenet, but has since become widespread in other forms of computer-mediated communication and even face-to-face communication. It is one of many acronyms for expressing bodily…

Language: English [EN]
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LOL topic overview

The analysis highlights Themes and History as prominent areas in the source structure around LOL.

Related topics
76
Source areas
4
Connected nodes
80
Extracted relationships
32
Related term clusters
14
Bridge connections
80

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.

Variations on the theme · 48 topics
Overview · 11 topics
History · 10 topics
Analysis · 7 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

Analysis

Variations on the theme

For the semantics nerds

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Advanced semantic analysis

How LOL connects Entity context

The extracted context around LOL shows recurring relationship patterns in the source. For example, LOL → Fondiller, It's, Linguist John McWhorter, McWhorter, Nerone, Oh, Pragmatic, Scott Molski, Silvio Laccetti, Stevens Institute, Technology, The Lost Art, Unfortunately, Writing Another extracted example is LOL → Although, Ben Zimmer, CMC, FidoNews, Laughing Out Loud, May, Naomi Baron, Oxford English Dictionary, Pearson, Viewline, Wayne Pearson, World Wide Web. Use these groups to spot repeated connection types before inspecting the individual relationships.

LOL

Top relations

related to Analysis · 14
LOL → Fondiller, It's, Linguist John McWhorter, McWhorter, Nerone, Oh, Pragmatic, Scott Molski, Silvio Laccetti, Stevens Institute, Technology, The Lost Art, Unfortunately, Writing
related to history · 12
LOL → Although, Ben Zimmer, CMC, FidoNews, Laughing Out Loud, May, Naomi Baron, Oxford English Dictionary, Pearson, Viewline, Wayne Pearson, World Wide Web
instance of · 1
LOL → Pullum argues that even if interjections

Important terminology

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

Important terminology

acronyms used rofl laughing use loud communication emoticons initialisms internet computer-mediated usenet may slang business english dictionary laughter found something

LOL relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around LOL. Examples in this analysis include LMAO → instance of → including acronyms for more emphatic expressions of laughter and business communications → instance of → either in general or in specific contexts. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
LMAOinstance ofincluding acronyms for more emphatic expressions of laughter0.80text
business communicationsinstance ofeither in general or in specific contexts0.80text
LOLinstance ofPullum argues that even if interjections0.80text
ROFL were to become very common in spoken Englishinstance ofPullum argues that even if interjections0.80text
the abbreviation is not to be read literallyinstance ofIn cases0.80text
Kekistaninstance ofas well as memes0.80text
LOLrelated to AnalysisSilvio Laccetti0.60section
LOLrelated to AnalysisStevens Institute0.60section
LOLrelated to AnalysisTechnology0.60section
LOLrelated to AnalysisScott Molski0.60section
LOLrelated to AnalysisThe Lost Art0.60section
LOLrelated to AnalysisWriting0.60section

Related concept clusters Related term clusters

The concept neighborhoods around LOL bring nearby vocabulary together. In this analysis, examples include Loud, Dictionary and English. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • acronyms
    • Smileys
    • Abbreviations
    • Oxford
    • Business
    • Dictionary
    • English
    • Slang
    • Students
    • Communication
    • Emoticons
    • Use
    • Laughing
  • LOL
    • Loud
    • Dictionary
    • English
    • People
    • Rofl
    • Used
    • Oxford
    • Stated
    • Way
    • May
    • Initialisms
    • Commonly
  • lol
    • Loud
    • Dictionary
    • English
    • People
    • Rofl
    • Used
    • Oxford
    • Stated
    • Way
    • May
    • Initialisms
    • Commonly
  • computer-mediated communication
    • Communication
    • Computer-mediated
    • Face-to-face
    • Forms
    • Smileys
    • Usenet
    • Students
    • Initialisms
    • Folk
    • Use
    • Acronyms
    • Abbreviations
  • internet slang
    • Terms
    • Students
    • Slang
    • Acronyms
    • Smileys
    • Abbreviations
    • Also
    • Meanings
    • Business
    • Found
    • Communication
    • Emoticons
  • emoticons
    • Folk
    • Abbreviations
    • Meanings
    • Usenet
    • Students
    • Forms
    • Smileys
    • Terms
    • Business
    • Dictionary
    • Found
    • Slang
  • usenet
    • Folk
    • Forms
    • Computer-mediated
    • Communication
    • Emoticons
    • Become
    • Face-to-face
    • Smileys
    • Abbreviations
    • Dictionary
    • Used
    • Acronyms
  • oxford english dictionary
    • Dictionary
    • English
    • Oxford
    • Acronyms
    • Folk
    • Lol
    • Abbreviations
    • Usenet
    • May
    • Emoticons
    • Loud
    • Laughing

Connections between topic areas Semantic bridges

For LOL, one of the stronger structural bridges in this analysis connects LOL with Variations on the theme. 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
LOL — Variations on the theme · splits 32 ⟂ 49
LOL — Overview · splits 69 ⟂ 12
LOL — History · splits 70 ⟂ 11
LOL — Analysis · splits 73 ⟂ 8

Map overview Semantic statistics

LOL

Nodes81
Edges80
Triples32
Avg. degree1.98
Density0.024691
Components1

Source & methodology

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

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

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