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Cited by 23Misinformation and Its ImpactsJournalism and Media StudiesLinguistics and Discourse Analysis

Clickbait: Research, challenges and opportunities – A systematic literature review

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Jácobo-Morales, Daniel, Marino-Jiménez, Mauro·2024·Online Journal of Communication and Media Technologies
DOI 10.30935/ojcmt/15267
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Abstract

Clickbait is a concept whose research has been increasing since 2018. Four main approaches are distinguished: (1) the development of algorithms and programs to detect it, (2) the semantic techniques used in headlines and texts, (3) the awakening of curiosity in the audience, and (4) the credibility of the headlines. Therefore, the research is proposed as a systematic literature review with the objective of analyzing the trends in studies on clickbait in the Scopus and Web of Science databases from January 1, 2015, to December 31, 2023. For this, it uses the PRISMA declaration as a reference. That is, a simple random sampling technique and bibliographic analysis, according to the RSL guidelines. After applying the inclusion criteria, it obtained a final sample of 165 studies. Among the main results, it stands out that Europe (n = 77) has the largest number of works. Something similar happens with the English language. With 90%, is the one with the greatest dissemination. Finally, it established the significant themes, the most widespread theories, 11 properties that deepen the four initial approaches, and explain the use of the term. That helps to delimit a path for future research.

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  • Studies of clickbait and sensationalism suggest that some headline features can increase user interaction, but the effect is uneven, context-dependent, and often accompanied by reputational risk.

    “Studies of clickbait and sensationalism suggest that some headline features can increase user interaction, but the effect is uneven, context-dependent, and often accompanied by reputational risk (Jácobo-Morales, & Marino-Jiménez, 2024;Jung et al., 2022;Khawar & Boukes, 2025;Kuiken et al., 2017).”

    From Sensational Headlines, Engagement, and Credibility in Nepal’s Online News (2025) · cites this paper as Jácobo-Morales, & Marino-Jiménez, 2024

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Authors
Jácobo-Morales, D., & Marino-Jiménez, M.
Affiliations
  • Universidad San Ignacio de Loyola (PE)
  • Facultad de Comunicación, Universidad San Ignacio de Loyola, Lima, PERU
ORCID
Venue
Online Journal of Communication and Media Technologies
Publisher
Bastas Publications
Published
2024-10-03
Volume
14
Issue
4
Pages
e202458
ISSN
1986-3497 (ISSN-L)
DOI
10.30935/ojcmt/15267
OpenAlex
W4403104761
Cited by
23
References
1
Citations by year
2026: 15 · 2025: 8
FWCI
1.87
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Online Journal of Communication and Media Technologies (publishedVersion, cc-by)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Communication › Journalism and Media Studies
  • Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
Keywords
clickbait, headlines, semantic analysis, online news, research trends

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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