Meneame Media Bias Dataset

A Meneame dataset of 14,995 articles, 20,000 comments, 45,392 users, collected by Meneame Media Bias Team. Each record contains article title, text, bias labels, sentiment, emotion scores, karma features, user-outlet graph. Spanish social news aggregator dataset with media bias labels and rich interaction features. Suitable for media bias detection, sentiment analysis, social news dynamics, graph analysis.

#Karma#Media bias#Social news aggregator

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 49,606 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

49.6K
Nodes
519.5K
Edges
4.22e-04
Density
1
Components
-0.1782
Assortativity
0.0%
Reciprocity
15.3K
Bridges
Most central nodes
outlet_elmundo.es0.1932
outlet_20minutos.es0.1926
outlet_publico.es0.1839
outlet_europapress.es0.1739
outlet_elpais.com0.1714
outlet_elconfidencial.com0.1646
outlet_eldiario.es0.1638
outlet_cadenaser.com0.1172
outlet_abc.es0.09757
outlet_vozpopuli.com0.09148
Content metrics

34,995 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

bias label39.3% true
true 39.3%false 60.7%
bias probμ 0.616 ± 0.428
min 0.001max 0.997
low 33%medium 34%high 33%
scoreμ 549.821 ± 402.317
min 21max 4.8K
num commentsμ 72.053 ± 70.401
min 5max 2.6K
num tagsμ 4.01 ± 1.512
min 1max 12
text lengthμ 368.247 ± 135.475
min 100max 953
hour of dayμ 13.433 ± 5.492
min 0max 23
avg comment karmaμ 3.227 ± 2.486
min 0max 48.934
median comment karmaμ 0.902 ± 1.284
min 0max 43.5
std comment karmaμ 7 ± 5.713
min 0max 115.415
total comment karmaμ 260.682 ± 361.575
min 0max 10.5K
unique commentersμ 45.236 ± 30.541
min 2max 378
comments per commenterμ 1.476 ± 0.484
min 1max 7.268
comment karmaμ 3.898 ± 11.31
min -151max 411
sentiment pos8.2% true
true 8.2%false 91.8%
sentiment neg58.0% true
true 58.0%false 42.0%
sentiment neu33.8% true
true 33.8%false 66.2%
sentiment joyμ 0.049 ± 0.172
min 0max 0.997
low 33%medium 34%high 33%
sentiment angerμ 0.259 ± 0.355
min 0max 0.976
low 33%medium 34%high 33%
sentiment sadnessμ 0.042 ± 0.131
min 0max 0.996
low 33%medium 34%high 33%
sentiment fearμ 0.007 ± 0.036
min 0max 0.962
low 33%medium 34%high 33%
13.2
Flesch–Kincaid grade
US school grade level
12.8
Automated readability index
Frequent terms
añosespañagobiernomadrid000mundomilloneseurospersonasañopaíscasovidapolicíaleyhistoriagentetrabajoformatiempointernetpartidopresidenteguerragrupodinerocrisishorassistemaempresaespañolhombremujereuropadatoscasagooglepsoenacionalengseguridadmeneamemesesrajoyciudadeeuuwebcosasnoticiapúblico
Topic clusters

Topic 0

que
los
las
más
qué
por
del
para

Topic 1

del
que
los
psoe
rajoy
por
las
gobierno

Topic 2

los
que
banco
euro
millone
crisis
euros
españa

Topic 3

que
vídeo
televisión
los
una
película
cine
con

Topic 4

agua
que
los
del
una
las
más
por

Topic 5

linux
windows
software
microsoft
google
para
libre
que

Topic 6

energía
solar
que
las
petróleo
del
los
renovable

Topic 7

cáncer
que
hospital
una
del
enfermedad
los
niños

Topic 8

foto
fotografía
fotos
imagen
una
que
las
con

Topic 9

nasa
del
luna
que
planeta
una
más
los

Topic 10

policía
por
que
guardia
los
civil
agente
las

Topic 11

mujer
sexo
que
una
niña
sexual
años
mujere
Show all 22 topics

Topic 12

fútbol
del
que
final
madrid
para
los
por

Topic 13

música
que
disco
rock
los
con
las
musical

Topic 14

telefónica
adsl
telecinco
que
para
por
vodafone
cliente

Topic 15

madrid
metro
los
plaza
alcalde
las
que
barcelona

Topic 16

guerra
bomba
las
mundial
los
explosión
que
una

Topic 17

iglesia
religión
católica
aborto
que
papa
los
del

Topic 18

universidad
alumnos
los
educación
que
curso
por
profesore

Topic 19

internet
web
página
hacker
yahoo
con
que
páginas

Topic 20

blog
facebook
que
twitter
blogger
una
los
para

Topic 21

israel
gaza
israelí
franja
palestinos
ataque
flotilla
que
Top hashtags
#1126
#384
#282
#574
#671
#468
#1267
#861
#1058
#1356
#1155
#1754
#752
#1849
#2149
#1447
#947
#1546
#1642
#2542

Computed over the full corpus.

Record

Catalog key
meneame
Authors
Rodrigo-Ginés, Francisco-Javier; Carrillo-de-Albornoz, Jorge; Plaza, Laura
Year
2026
Source paper
Meneame Media Bias Dataset: Interaction Features and Bias Labels
DOI / arXiv
10.5281/zenodo.19182446
License
CC BY 4.0 (CC-BY-4.0)
Records
14,995
Nodes
49,606
Edges
519,455
Nodes are
user / outlet
Edges are
submission
Attributes
nodes have no attributes; edges have attributes
Text corpus
article text
Languages
en, es
Collected
2005-2021 (2000s, 2010s, 2020s)
Tasks
Text classification (binary; bias_label) inferred
From the graph: link prediction, community detection
Region
Spain · Europe (inferred: the platform is used mostly there)

Provenance

Originally published at
https://zenodo.org/records/19182446 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 41.8 MB across 8 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/10.5281/zenodo.19182446,
  doi       = {10.5281/ZENODO.19182446},
  url       = {https://zenodo.org/doi/10.5281/zenodo.19182446},
  author    = {Rodrigo-Ginés, Francisco-Javier and Carrillo-de-Albornoz, Jorge and Plaza, Laura},
  keywords  = {media bias, meneame, social news, NLP, user interactions, sentiment analysis, Spanish, disinformation},
  language  = {es},
  title     = {Meneame Media Bias Dataset: Interaction Features and Bias Labels},
  publisher = {Zenodo},
  year      = {2026},
  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

Rodrigo-Ginés, F.-J., Carrillo-de-Albornoz, J., & Plaza, L. (2026). Meneame Media Bias Dataset [Data set]. https://doi.org/10.5281/zenodo.19182446

MLA

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

Rodrigo-Ginés, Francisco-Javier, et al. Meneame Media Bias Dataset. 2026, doi.org/10.5281/zenodo.19182446.

BibTeX · RIS · CSL-JSON

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