---
title: "BuzzFeedNews/2016-10-facebook-fact-check: papers citing it"
description: "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."
url: https://scholar4ai.com/code/github-buzzfeednews-2016-10-facebook-fact-check
markdown_url: https://scholar4ai.com/code/github-buzzfeednews-2016-10-facebook-fact-check.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

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

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 1 |
| [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.ipm.2019.03.004) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Xichen Zhang, Ali Akbar Ghorbani | 997 | cites it |
| 2022-07-09 | [Linguistic features based framework for automatic fake news detection](https://doi.org/10.1016/j.cie.2022.108432) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 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](https://doi.org/10.1007/s10115-025-02510-6) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).