Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Fact-checking is the process of verifying the factual accuracy of questioned reporting and statements. Fact-checking can be conducted before or after the text or content is published or otherwise disseminated. Internal fact-checking is such checking done in-house by the publisher to prevent inaccurate content from being published; when the text is…
The analysis highlights History, Post hoc fact-checking and Pre-publication fact-checking as prominent areas in the source structure around Fact-checking.
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.
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.
The extracted context around Fact-checking shows recurring relationship patterns in the source. For example, Fact-checking → Accuracy, Associated Press, Bureau, Colin Dickey, Facts, Fair Play, Henry Luce, In, Independent, Key, More, New York World, One, PolitiFact, Ralph Pulitzer, Sensationalist, The New Yorker, The Washington Post, Time Another extracted example is Fact-checking → Africa Check, African, Ante, Checker, External, FactCheck, Full Fact, Pinocchios, PolitiFact, Post, Several, The Washington Post Fact, TRUTH-O-METER, UK, US. 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.
news fake media found false fact-checkers political misinformation study organizations social claims also statements facebook 2016 may research one information
TTTA extracted 125 structured relationships around Fact-checking. Examples in this analysis include Fact-checking → is a → process of verifying the factual accuracy of questioned reporting and statements and PolitiFact → instance of → A 2018 study found that Republicans were more likely to correct their false information on voter fraud if the correction came from Breitbart News rather than a non-partisan neut…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Fact-checking | is a | process of verifying the factual accuracy of questioned reporting and statements | 0.90 | text |
| PolitiFact | instance of | A 2018 study found that Republicans were more likely to correct their false information on voter fraud if the correction came from Breitbart News rather than a non-partisan neut… | 0.80 | text |
| n-gram encodings | instance of | modeling techniques | 0.80 | text |
| bag of words have served as other linguistic techniques to estimate the legitimacy of a news source | instance of | modeling techniques | 0.80 | text |
| instance of | The spread of fake news via social media platforms | 0.80 | text | |
| instance of | The spread of fake news via social media platforms | 0.80 | text | |
| Instagram presents the opportunity for extremely negative effects on society therefore new fields of research regarding fake news detection on social media is gaining momentum | instance of | The spread of fake news via social media platforms | 0.80 | text |
| providing | instance of | Efforts | 0.80 | text |
| viewing structured accuracy assessments on posts | instance of | Efforts | 0.80 | text |
| Breitbart | instance of | promoting outlets that have shared false information | 0.80 | text |
| The Daily Caller on Facebook's newsfeed | instance of | promoting outlets that have shared false information | 0.80 | text |
| Meta | instance of | many social media platforms | 0.80 | text |
The concept neighborhoods around Fact-checking bring nearby vocabulary together. In this analysis, examples include Organizations, Political and False. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Fact-checking, one of the stronger structural bridges in this analysis connects Fact-checking with Overview. 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 Fact-checking to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Post hoc fact-checking & Pre-publication fact-checking, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Fact-checking · EN edition · Analysis: TopicsToTalkAbout