Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Scam

A scam, or a confidence trick (shortened to con), is an attempt to defraud a person or group after first gaining their trust. Confidence tricks exploit victims using a combination of the victim's credulity, naivety, compassion, vanity, confidence, irresponsibility, and greed. Researchers have defined confidence tricks as "a distinctive species of…

History & Culture

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Scam. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Terminology

History

Stages

Vulnerability factors

Online fraud

In popular culture

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.

Map overview Semantic statistics

Scam

Nodes65
Edges64
Triples193
Avg. degree1.97
Density0.030769
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Scam

Top relations

related to Further reading · 107
Scam → American Psychiatric, Amy, Anchor Books, Arkansas Press, Barton, Bell, Big Con, Blundell, Bobbs Merrill, Bowyer, Broadway Books, Buckfoot Gang, Charlatans, Charles, Cheating, Chicago Press, Columbia University Press, Con Man, Confidence, Confidence Game
related to Online fraud · 28
Scam → AA419, ActionFraud, Alliance, APWG, Australia, Center, Examples, FBI, FBI IC3, Federal Trade Commission, Fraud, FraudeHelpdesk, Global State, Government, IC3, In, Internet, Netherlands, Scam Report, ScamAdviser
related to External links · 21
Scam → Archived, Arrest, Book, China, ChinaFile, Con Man, Confidence, Confidence Man, Dateline NBC, FBI, GMU, July, New York Herald, Police Intelligence, Prepaid, Swindles, The Lost Museum, To Catch, Wikimedia Commons, Wikivoyage Media
related to history · 13
Scam → Although Thompson, Confidence Man, Greece, Houston, Houston's, James Houston, July, New York Herald, Reporting, The, The National Police Gazette, Thompson, William Thompson
related to Vulnerability factors · 5
Scam → As, Confidence, Orbach, Researchers Huang, Victims
see also · 4
Scam → Advance-fee, CatfishingCharlatanConfidence, Gantry, SSA
related to Terminology · 3
Scam → Other, The, When
related to Length · 2
Scam → British English, It

Important terminology Word statistics

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

Important terminology

confidence con isbn man tricks game cons victims greed money thompson long fraud short scams victim big american online marks

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
greedinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
dishonestyinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
vanityinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
opportunisminstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
lustinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
compassioninstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
credulityinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
irresponsibilityinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
desperationinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
and naïvetyinstance ofVulnerability factorsConfidence tricks exploit characteristics0.80text
Scamrelated to External linksWiktionary-logo-en-v20.60section
Scamrelated to External linksWikivoyage Media0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.