{"id":18668354,"url":"https://github.com/andythefactory/fakenewsdataset","last_synced_at":"2026-03-19T05:44:47.117Z","repository":{"id":204776564,"uuid":"693075209","full_name":"AndyTheFactory/FakeNewsDataset","owner":"AndyTheFactory","description":"a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy,  rumor clickbait, junk science, satire, hate","archived":false,"fork":false,"pushed_at":"2023-10-31T21:56:00.000Z","size":18,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-03T02:41:41.720Z","etag":null,"topics":["datasets","deep-learning","deep-neural-networks","disinformation","fake-news","fake-news-analysis","fake-news-articles","fake-news-challenge","fake-news-classification","fake-news-dataset","fake-news-detection","misinformation"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AndyTheFactory.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-09-18T09:47:28.000Z","updated_at":"2024-04-05T12:46:54.000Z","dependencies_parsed_at":"2023-10-31T23:45:36.021Z","dependency_job_id":null,"html_url":"https://github.com/AndyTheFactory/FakeNewsDataset","commit_stats":null,"previous_names":["andythefactory/fakenewsdataset"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/AndyTheFactory/FakeNewsDataset","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndyTheFactory%2FFakeNewsDataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndyTheFactory%2FFakeNewsDataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndyTheFactory%2FFakeNewsDataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndyTheFactory%2FFakeNewsDataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AndyTheFactory","download_url":"https://codeload.github.com/AndyTheFactory/FakeNewsDataset/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndyTheFactory%2FFakeNewsDataset/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29403761,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-13T06:24:03.484Z","status":"ssl_error","status_checked_at":"2026-02-13T06:23:12.830Z","response_time":78,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["datasets","deep-learning","deep-neural-networks","disinformation","fake-news","fake-news-analysis","fake-news-articles","fake-news-challenge","fake-news-classification","fake-news-dataset","fake-news-detection","misinformation"],"created_at":"2024-11-07T08:42:19.950Z","updated_at":"2026-02-13T11:22:05.230Z","avatar_url":"https://github.com/AndyTheFactory.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# FakeNewsDataset\na consolidated and cleaned up version of the \"opensources.co Fake News dataset\"\n\n**To Download, check the [Releases](https://github.com/AndyTheFactory/FakeNewsDataset/releases)**\n\nThe original Fake News Corpus comprises **8,529,090** individual articles, classified into 12 classes: *reliable, unreliable, political, bias, fake, conspiracy, \nrumor clickbait, junk science, satire, hate and unknown*. The articles were scraped between the end of 2017 and the beginning of 2018 from various \nnews websites, totaling 647 distinct sources, collecting articles dating from various years leading to the 2016 US elections and the year after. \nDocuments were classified based on their source, based on the curated website list provided by opensources.co using a leading to a \nhigh imbalanced class distribution. Their proposed source classification method, was based on six criteria: \n- Title and Domain name analysis,\n- “About Us” analysis,\n- source or study mentioning,\n- writing style analysis,\n- aesthetic analysis and social media analysis.\n\nAfter extensive data cleaning and duplicate removal we retain 5,915,569 records, downloadable from huggingface or in the [Releases](https://github.com/AndyTheFactory/FakeNewsDataset/releases) tab\n\n## Languages\n\nEnglish\n\n## Data Sample\n\n\nAn example record looks as follows.\n\n```\n{\n  'id': 4059480,\n  'type': 'political',\n  'domain': 'dailycaller.com',\n  'scraped_at': '2017-11-27',\n  'url': 'http://dailycaller.com/buzz/massachusettsunited-states/page/2/',\n  'authors': 'Jeff Winkler, Jonathan Strong, Ken Blackwell, Pat Mcmahon, Julia Mcclatchy, Admin, Matt Purple',\n  'title': 'The Daily Caller',\n  'content':'New Hampshire is the state with the highest median income in the nation, according to the U.S. Census Bureau’s report on income, poverty and health insurance',\n}\n```\n\n## Data Fields\n\n- `id`: The unique article ID\n- `type`: the label of the record (one of: reliable, unreliable, political, bias, fake, conspiracy, \nrumor clickbait, junk science, satire, hate)\n- 'scraped_at': date of the original scrape run\n- 'url': original article url\n- 'authors': comma separated list of scraped authors\n- 'title': original scraped article title\n- `content`: full article text\n\n## Data Statistics\n\n\nLabel | Nr Records\n:---| :---:\nreliable    |  1,807,323\npolitical   |   968205,\nbias        |   769,874\nfake        |   762,178\nconspiracy  |   494,184\nrumor       |   375,963\nunknown     |   230,532\nclickbait   |   174,176\nunreliable  |   104,537\nsatire      |    84,735\njunksci     |    79,099\nhate        |    64,763\n----------- | ---------\ntotal | 5,915,569 \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandythefactory%2Ffakenewsdataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandythefactory%2Ffakenewsdataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandythefactory%2Ffakenewsdataset/lists"}