BuzzFeedNews/2016-10-facebook-fact-check: papers linking to it

GitHub · 113 stars · 92 forks · Jupyter Notebook · created 2016 · github.com/BuzzFeedNews/2016-10-facebook-fact-check

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to BuzzFeedNews/2016-10-facebook-fact-check (https://github.com/BuzzFeedNews/2016-10-facebook-fact-check), 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 GitHub repository BuzzFeedNews/2016-10-facebook-fact-check in their Crossref records, the first in 2019; most of them (1) in 2025.
By category: AI (2) and Operations Research (1); the journals with the most are Computers & Industrial Engineering (1), Information Processing & Management (1) and Knowledge and Information Systems (1).

By year#

20192025

Papers linking to BuzzFeedNews/2016-10-facebook-fact-check by publication year
Year	Papers
2019	1
2022	1
2025	1

Journals#

Journals whose papers link to BuzzFeedNews/2016-10-facebook-fact-check most
Journal	Papers
Computers & Industrial Engineering	1
Information Processing & Management	1
Knowledge and Information Systems	1

Papers linking to BuzzFeedNews/2016-10-facebook-fact-check, most cited first
Published	Title	Journal	Authors	Citations	Link
2019-03-20	An overview of online fake news: Characterization, detection, and discussion	Information Processing & Management	Xichen Zhang, Ali Akbar Ghorbani	997	cites it
2022-07-09	Linguistic features based framework for automatic fake news detection	Computers & Industrial Engineering	Sonal Garg, Dilip Kumar Sharma	68	cites it
2025-06-23	Aspect term extraction and snake driving training-based optimization-enabled deep learning for Facebook sentiment analysis	Knowledge and Information Systems	Srividya Kotagiri, Mrudula Owk, Tata Priyanka et al.	0	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). BuzzFeedNews/2016-10-facebook-fact-check: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-buzzfeednews-2016-10-facebook-fact-check

@misc{scholar4ai-code-github-buzzfeednews-2016-10-facebook-fact-check,
  author = {{Scholar4AI}},
  title = {BuzzFeedNews/2016-10-facebook-fact-check: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-buzzfeednews-2016-10-facebook-fact-check}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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