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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…
The analysis highlights Themes and History as prominent areas in the source structure around LOL.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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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.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
acronyms used rofl laughing use loud communication emoticons initialisms internet computer-mediated usenet may slang business english dictionary laughter found something
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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| LMAO | instance of | including acronyms for more emphatic expressions of laughter | 0.80 | text |
| business communications | instance of | either in general or in specific contexts | 0.80 | text |
| LOL | instance of | Pullum argues that even if interjections | 0.80 | text |
| ROFL were to become very common in spoken English | instance of | Pullum argues that even if interjections | 0.80 | text |
| the abbreviation is not to be read literally | instance of | In cases | 0.80 | text |
| Kekistan | instance of | as well as memes | 0.80 | text |
| LOL | related to Analysis | Silvio Laccetti | 0.60 | section |
| LOL | related to Analysis | Stevens Institute | 0.60 | section |
| LOL | related to Analysis | Technology | 0.60 | section |
| LOL | related to Analysis | Scott Molski | 0.60 | section |
| LOL | related to Analysis | The Lost Art | 0.60 | section |
| LOL | related to Analysis | Writing | 0.60 | section |
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.
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.
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