TweetBLM: Black Lives Matter Hate Speech Dataset

A Twitter (#BlackLivesMatter) dataset of 9,165 tweets (3,084 hate speech, 6,081 non-hate), collected by Giorgi et al. via Twitter API (2020). Each record contains tweet text, binary hate label (0/1), hashtags, source platform, user friends/favourites count, retweet flag. 9,165 BLM-related tweets with hate speech labels — captures online discourse during the 2020 Black Lives Matter movement with 3,084 hate speech examples. Suitable for hate speech detection, social movement analysis, BLM discourse research, Twitter content moderation, political communication, racial justice NLP.

#Black lives matter#Racial justice

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Analytics

Content metrics

9,165 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

is hate33.7% true
true 33.7%false 66.3%
user friendsμ 2.3K ± 5.7K
min 0max 150.7K
user favouritesμ 42.3K ± 73.7K
min 0max 1.1M
9.5
Flesch–Kincaid grade
US school grade level
12.9
Automated readability index
Frequent terms
blacklivesmatterblmblackpeopleamppolicewhitelivesdonmatterlikeportlandracismracistantifasupportprotestsmovementprotestknowtodaytrumpprotestersneedrightmanlovestoprealdonaldtrumptimechicagoletthinkjusticenewdaygoingwantgood2020americavideothankhelpportlandprotestsworlddawnbutlerbrentchangecopslife
Topic clusters

Topic 0

thank
amp
today
twitter
like
tweet
good
come

Topic 1

racism
racist
white
people
fuck
blacklivesmatter
systemic
blacklivesmatt

Topic 2

portland
portlandprotests
portlandprotest
oregon
pdx
protest
police
crowd

Topic 3

blm
support
think
believe
read
movement
narrative
act

Topic 4

police
cop
black
man
kill
stop
people
officer

Topic 5

matter
life
black
live
blm
blacklivesmatter
lives
people

Topic 6

trump
vote
donald
biden
amp
republicans
election
president

Topic 7

antifa
blm
terrorist
amp
pay
antifadomesticterrorist
communist
terrorists

Topic 8

blacklivesmatter
blacklivesmatt
support
thread
know
think
open
alllivesmatter

Topic 9

blm
white
racism
racist
hate
fuck
people
ass

Topic 10

chicago
chicagoriots
loot
looter
chicagoscanner
tonight
single
blm

Topic 11

blacklivesmatt
blacklivesmatter
understand
clark
march
language
work
hero
Show all 18 topics

Topic 12

protest
blacklivesmatter
protester
police
peaceful
aggressive
extremist
threaten

Topic 13

protest
protester
arrest
van
unmarked
protestor
pig
ppb

Topic 14

breonna
taylor
arrest
murder
breonnataylor
elijah
mcclain
day

Topic 15

protest
blm
protester
tip
shame
right
peaceful
lock

Topic 16

petition
sign
justice
blacklivesmatter
link
brooklyn
department
blacklivesmatt

Topic 17

pandemic
coronavirus
covid
yea
vaccine
information
virus
business
Top hashtags
#blacklivesmatter3.1K
#blm1.9K
#antifa193
#portland134
#portlandprotests125
#chicago76
#breonnataylor67
#portlandprotest65
#covid1961
#pdx58
#acab57
#chicagoriots57
#wednesdaywisdom56
#나는_샘_오취리와_연대합니다56
#wcw55
#defundthepolice54
#trump54
#wednesdaythoughts53
#wednesdayvibes53
#alllivesmatter52
Top emoji
🏾153
🏽94
🖤92
👏89
🇺86
🇸84
👇68
🍊61
😂61
🔥56
🏿50
🙏43
🏻38
🤣38
🏼36

Computed over the full corpus.

Record

Catalog key
tweetblm
Authors
Kumar, Sumit; Pranesh, Raj Ratn
Year
2021
Source paper
TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter
DOI / arXiv
10.48550/arXiv.2108.12521
License
CC BY 4.0 (CC-BY-4.0)
Records
9,165
Languages
en
Collected
2020 (2020s)
Tasks
Hate speech detection (binary; is_hate) inferred
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://zenodo.org/records/4000383 unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.8 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{https://doi.org/10.48550/arxiv.2108.12521,
  doi       = {10.48550/ARXIV.2108.12521},
  url       = {https://arxiv.org/abs/2108.12521},
  author    = {Kumar, Sumit and Pranesh, Raj Ratn},
  keywords  = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title     = {TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter},
  publisher = {arXiv},
  year      = {2021},
  copyright = {Creative Commons Attribution 4.0 International}
}

APA

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

Kumar, S., & Pranesh, R. R. (2021). TweetBLM: Black Lives Matter Hate Speech Dataset [Data set]. https://doi.org/10.48550/arXiv.2108.12521

MLA

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

Kumar, Sumit, and Raj Ratn Pranesh. TweetBLM: Black Lives Matter Hate Speech Dataset. 2021, doi.org/10.48550/arXiv.2108.12521.

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