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Predatory publishing: Characters, History, Applications & Science

Predatory publishing, also known as write-only publishing or deceptive publishing, is the usage of exploitative and fraudulent publishing models by academic journals and publishers where they prioritize financial or reputational gain over the advancement of scholarship. It is characterized by misleading or false information about editorial practices, a…

Language: English [EN]
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Predatory publishing topic overview

The analysis highlights Characters, History, Applications and Science as prominent areas in the source structure around Predatory publishing.

Related topics
109
Source areas
5
Connected nodes
114
Extracted relationships
59
Concept neighborhoods
37
Bridge connections
114

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.

Overview · 33 topics
History · 30 topics
Characteristics · 27 topics
Response · 17 topics
Causes and impact · 2 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.

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

Characteristics

Causes and impact

Response

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.

How Predatory publishing connects Entity context

The extracted context around Predatory publishing shows recurring relationship patterns in the source. For example, Predatory publishing → A3, Combatting, Committee, COPE, Critic, CS1, DC, December, InterAcademy Partnership, ISBN, JanuaryDiscussion, Jeffrey Beall, June, Newspapers, November, OCLC, Ottawa Citizen, Publication Ethics, Report, Retrieved Another extracted example is Predatory publishing → American Journal, COPE, EASE, Gert Helgesson, In, International, MEDLINE, Science, Stefan Eriksson, The, There, They, Web, You. Use these groups to spot repeated connection types before inspecting the individual relationships.

Predatory publishing

Top relations

related to Further reading · 23
Predatory publishing → A3, Combatting, Committee, COPE, Critic, CS1, DC, December, InterAcademy Partnership, ISBN, JanuaryDiscussion, Jeffrey Beall, June, Newspapers, November, OCLC, Ottawa Citizen, Publication Ethics, Report, Retrieved
related to Eriksson and Helgesson's 25 criteria · 14
Predatory publishing → American Journal, COPE, EASE, Gert Helgesson, In, International, MEDLINE, Science, Stefan Eriksson, The, There, They, Web, You
related to External links · 10
Predatory publishing → AMWA, Check, EMWA, ISMPP Joint Position, Leading, Nature, No, Predatory, Submit, Think
related to Memon's criteria · 6
Predatory publishing → In, Most, Scholar Aamir Raoof Memon, The, There, They
related to Science funders · 1
Predatory publishing → Multiple

Important terminology

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

Important terminology

journals predatory publishers publishing list journal published review beall's practices peer science beall open-access criteria publish quality editorial also researchers

Predatory publishing relationships Subject–Predicate–Object triples

TTTA extracted 59 structured relationships around Predatory publishing. Examples in this analysis include Beall's List → instance of → whereas the majority of those who did so knowingly cited the need to advance their careers.Actors seeking to maintain the scholarly ecosystem have sought to minimize the influen… and the DOAJ → instance of → Bjørnshauge argues that open-access associations. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Beall's Listinstance ofwhereas the majority of those who did so knowingly cited the need to advance their careers.Actors seeking to maintain the scholarly ecosystem have sought to minimize the influen…0.80text
Cabell's blacklistinstance ofwhereas the majority of those who did so knowingly cited the need to advance their careers.Actors seeking to maintain the scholarly ecosystem have sought to minimize the influen…0.80text
as well as through whitelists such as the Directory of Open Access Journalsinstance ofwhereas the majority of those who did so knowingly cited the need to advance their careers.Actors seeking to maintain the scholarly ecosystem have sought to minimize the influen…0.80text
the DOAJinstance ofBjørnshauge argues that open-access associations0.80text
the Open Access Scholarly Publishers Association should adopt more responsibility for policing publishersinstance ofBjørnshauge argues that open-access associations0.80text
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaIn0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaStefan Eriksson0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaGert Helgesson0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaThey0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaThe0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaCOPE0.60section
Predatory publishingrelated to Eriksson and Helgesson's 25 criteriaEASE0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Predatory publishing bring nearby vocabulary together. In this analysis, examples include Journals, Publishing and Publishers. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Predatory publishing
    • Journals
    • Publishing
    • Publishers
    • List
    • Beall's
    • Journal
    • Oa
    • Practices
    • Academic
    • Also
    • Published
    • Review
  • predatory publishing
    • Journals
    • Publishing
    • Publishers
    • List
    • Practices
    • Beall's
    • Journal
    • One
    • Oa
    • Scholarly
    • Quality
    • Academic
  • the journal of academic librarianship
    • Science
    • Research
    • Open-access
    • Predatory
    • Criteria
    • Publishing
    • Peer
    • List
    • Journal
    • Review
    • Quality
    • Papers
  • developing countries
    • Scholars
    • Publication
    • Research
    • Found
    • Publishers
    • Researchers
    • Predatory
    • Practices
    • Publishing
    • False
    • Web
    • One
  • predatory conference
    • Journals
    • Publishing
    • Publishers
    • List
    • Beall's
    • Journal
    • Practices
    • Academic
    • Also
    • Published
    • Review
    • Publish
  • beall's list
    • List
    • Open-access
    • Publishers
    • Predatory
    • One
    • Journals
    • Scholarly
    • Publishing
    • Oa
    • Review
    • Criteria
    • Peer
  • directory of open access journals
    • Access
    • Open
    • Predatory
    • Scholarly
    • List
    • Peer
    • Published
    • Review
    • Publishers
    • Oa
    • Journals
    • Beall's
  • some journals being removed
    • Predatory
    • List
    • Peer
    • Published
    • Review
    • Publishers
    • Access
    • Open
    • Beall's
    • Publishing
    • Open-access
    • Science

Connections between topic areas Semantic bridges

For Predatory publishing, one of the stronger structural bridges in this analysis connects Predatory publishing 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.

Min side: 3
Predatory publishingOverview · splits 81 ⟂ 34
Predatory publishingHistory · splits 84 ⟂ 31
Predatory publishingCharacteristics · splits 87 ⟂ 28
Predatory publishingResponse · splits 97 ⟂ 18
Predatory publishingCauses and impact · splits 112 ⟂ 3

Map overview Semantic statistics

Predatory publishing

Nodes115
Edges114
Triples59
Avg. degree1.98
Density0.017391
Components1

Source & methodology

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

Source: Wikipedia — Predatory publishing · EN edition · Analysis: TopicsToTalkAbout

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