Fake News Detection Dataset

A News Articles (multiple sources) dataset of 9,900 news articles (5,000 fake, 4,900 real), collected by Vishakh Dapat via Kaggle (2023). Each record contains full article text and binary veracity label (Fake or Real). The dataset is notable for its balanced binary-labeled news corpus with approximately equal proportions of fake and real articles, making it well-suited as a classification benchmark. Intended for research into fake news detection, text classification benchmarking, misinformation topic modeling, and NLP feature engineering.

#Fake news#Kaggle#Veracity label

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Analytics

Content metrics

9,900 records scored

is fake50.5% true
true 50.5%false 49.5%
11.8
Flesch–Kincaid grade
US school grade level
13.1
Automated readability index
Frequent terms
trumpsaidpresidenthousedonaldpeoplewhiterepublicannewtaxstatesrepublicanssenatereutersstaterussialikewashingtoncampaigntwitterbillobamaelectionadministrationunitedtimeyeartoldimagegovernmentnewsfeaturedgoingclintoncongressamericanlawrightrussiancountryofficeknowpercentfederaldemocratsrealdonaldtrumpcommitteedonthinkcourt
Topic clusters

Topic 0

sanction
iran
russia
syria
tillerson
moscow
nato
syrian

Topic 1

tax
percent
rate
bill
cut
senate
house
reform

Topic 2

black
white
racist
trump
people
supremacist
right
video

Topic 3

korea
china
north
trade
nuclear
chinese
korean
missile

Topic 4

trump
job
golf
pay
business
president
donald
hotel

Topic 5

woman
clinton
trump
hillary
donald
pence
melania
debate

Topic 6

epa
climate
environmental
energy
pruitt
coal
oil
administration

Topic 7

financial
fed
bank
cfpb
rule
consumer
agency
yellen

Topic 8

obamacare
healthcare
health
insurance
care
bill
repeal
affordable

Topic 9

puerto
rico
hurricane
edt
harvey
texas
disaster
aid

Topic 10

comey
fbi
investigation
director
trump
fire
russia
james

Topic 11

wall
mexico
border
debt
spending
government
congress
funding
Show all 28 topics

Topic 12

trump
tweet
twitter
donald
medium
news
january
fake

Topic 13

manafort
kushner
russian
campaign
meeting
trump
lawyer
mueller

Topic 14

immigration
daca
immigrant
program
refugee
dreamer
states
united

Topic 15

russia
trump
intelligence
putin
january
russian
election
hack

Topic 16

nunes
committee
investigation
intelligence
mueller
russia
probe
house

Topic 17

moore
alabama
allegation
sexual
roy
senate
franken
harassment

Topic 18

ban
court
order
travel
muslim
judge
supreme
country

Topic 19

voter
vote
election
fraud
state
win
recount
clinton

Topic 20

bill
healthcare
obamacare
senate
republican
vote
repeal
senator

Topic 21

gorsuch
court
supreme
nominee
senate
justice
filibuster
confirmation

Topic 22

conway
kellyanne
trump
cooper
cnn
campaign
fact
lie

Topic 23

paris
climate
agreement
global
change
decision
united
states

Topic 24

flynn
michael
russia
adviser
security
national
trump
immunity

Topic 25

baldwin
colbert
alec
trump
night
snl
saturday
live

Topic 26

budget
defense
billion
pentagon
spending
cut
military
program

Topic 27

party
democrats
republican
republicans
race
ossoff
democratic
election
Top hashtags
#maga78
#trump67
#resist43
#theresistance40
#trumpchicken29
#fakenews27
#trumprussia24
#nevertrump22
#whywomendontreport22
#inauguration21
#xfbml21
#boycottbudwiser19
#usa16
#acasabotage15
#breitbartcereals15
#chaffetztownhall14
#notmypresident14
#shepersisted14
#womensmarch14
#113

Computed over the full corpus.

Record

Catalog key
fake-news-detection
Authors
Dapat, Vishakh
Year
2023
Source paper
Fake News Detection: The Battle Against Misinformation
License
MIT (MIT)
Records
9,900
Text corpus
article text
Languages
en
Collected
2016-2023 (2010s, 2020s)
Tasks
Fake news detection (binary; is_fake) inferred

Provenance

Originally published at
https://www.kaggle.com/datasets/vishakhdapat/fake-news-detection unverified
Hosted copy
Mirrored on echo.directory on 2026-10-09, 24.7 MB across 1 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{dapat2023fakenews,
  title        = {Fake News Detection: The Battle Against Misinformation},
  author       = {Dapat, Vishakh},
  year         = {2023},
  howpublished = {\url{https://www.kaggle.com/datasets/vishakhdapat/fake-news-detection}}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Dapat, V. (2023). Fake News Detection Dataset [Data set]. https://fake-news-detection.echo.directory/

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Dapat, Vishakh. Fake News Detection Dataset. 2023, fake-news-detection.echo.directory/.

BibTeX · RIS · CSL-JSON

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