How pages are made
Researchers at the Data Lab and their students submit sources: papers, articles, datasets and talks. A weekly job also proposes new papers from top venues. Every source goes through the same review queue.
- Relevance check. Sources outside fake news, misinformation and disinformation research are turned away, and duplicates are caught before any work is done.
- Read in full. The whole source, not just the abstract, is summarized into a fixed structure: TL;DR, contributions, method, results and limitations.
- Linked. Each page is connected to its authors, datasets, topics and related papers, and the relationship is described.
- Checked. Weekly sweeps re-check relevance, fix broken links and author names, and flag duplicates for an editor.
Summaries are written by AI (Claude, with plain-language versions from open models on Data Lab servers) and kept honest by design: every claim must trace back to the source file, and unreadable or off-topic sources are rejected rather than guessed at.
Cite GUIDE
If you reference GUIDE in academic work, please use one of the citation formats below.
BibTeX
@misc{zafarani_guide,
author = {Zafarani, Reza},
title = {GUIDE: Guide to Understanding Fake News, Disinformation, and Misinformation},
year = {2026},
publisher = {Syracuse University DataLab},
url = {https://guide.fake-news.site/},
note = {A curated research reference on fake news, disinformation, and misinformation.}
}
APA
Zafarani, R. (2026). GUIDE: Guide to Understanding Fake News, Disinformation, and Misinformation. Syracuse University DataLab. Retrieved from https://guide.fake-news.site/
MLA
Zafarani, Reza. GUIDE: Guide to Understanding Fake News, Disinformation, and Misinformation. Syracuse University DataLab, 2026, https://guide.fake-news.site/.
Plain text
GUIDE, maintained by Reza Zafarani at the Syracuse University DataLab. Available at https://guide.fake-news.site/.
Citing individual entries
Every paper, article, dataset, or topic page on this guide summarises a primary source. Cite the original work directly, not this guide's summary, unless you are explicitly referencing the synthesis or organization itself. Each page on this site includes the original work's full citation and DOI / arXiv link where available.
About this guide
The guide is curated by Reza Zafarani at the Syracuse University DataLab. It is continuously updated as new research is published.
For questions, corrections, or contributions, contact Reza directly.