COVID-19 Fake News Dataset: papers linking to it

Mendeley Data · Dataset · 2021 · data.mendeley.com/datasets/zwfdmp5syg

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to COVID-19 Fake News Dataset (https://data.mendeley.com/datasets/zwfdmp5syg), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the Mendeley Data dataset COVID-19 Fake News Dataset in their Crossref records, the first in 2022; most of them (2) in 2022.
By category: AI (2) and Information Systems (1); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and International Journal of Information Management Data Insights (1).

By year#

20222023

Papers linking to COVID-19 Fake News Dataset by publication year
Year	Papers
2022	2
2023	1

Journals#

Journals whose papers link to COVID-19 Fake News Dataset most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
International Journal of Information Management Data Insights	1

Papers linking to COVID-19 Fake News Dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-09-02	A novel hybrid multi-thread metaheuristic approach for fake news detection in social media	Applied Intelligence	Güngör Yıldırım	35	cites it
2022-10-27	Tackling the infodemic during a pandemic: A comparative study on algorithms to deal with thematically heterogeneous fake news	International Journal of Information Management Data Insights	Pramukh Nanjundaswamy Vasist, M.P. Sebastian	11	cites it
2023-09-07	Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks	Neural Computing and Applications	Kitti Szabó Nagy, Jozef Kapusta, Michal Munk	8	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). COVID-19 Fake News Dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-zwfdmp5syg

@misc{scholar4ai-code-mendeley-zwfdmp5syg,
  author = {{Scholar4AI}},
  title = {COVID-19 Fake News Dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-zwfdmp5syg}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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