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Exploring Echo Chambers in Twitter during Two Spanish Regional Elections: An Analysis of Community Interactions Cover

Exploring Echo Chambers in Twitter during Two Spanish Regional Elections: An Analysis of Community Interactions

Open Access
|May 2024

Figures & Tables

Figure 1:

Tweet distribution grouped by day over collection period (Madrid).
Tweet distribution grouped by day over collection period (Madrid).

Figure 2:

Tweet distribution grouped by day over collection period (Andalusia).
Tweet distribution grouped by day over collection period (Andalusia).

Figure 3:

Graph interaction network of Madrid Dataset. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Graph interaction network of Madrid Dataset. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 4:

Graph interaction network of Andalusia Dataset. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Graph interaction network of Andalusia Dataset. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 5:

Heatmap of communities’ active/passive interactions. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Heatmap of communities’ active/passive interactions. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 6:

Heatmap of Communities’ Active/Passive interactions. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Heatmap of Communities’ Active/Passive interactions. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 7:

Graph interaction network filtering by quote-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Graph interaction network filtering by quote-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 8:

Heatmap of community interaction filtering by RT-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.
Heatmap of community interaction filtering by RT-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.

Figure 9:

Graph interaction network filtering by reply-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Graph interaction network filtering by reply-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 10:

Heatmap of community interaction filtering by reply-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Heatmap of community interaction filtering by reply-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 11:

Graph interaction network filtering by general-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Graph interaction network filtering by general-type tweets. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure 12:

Heatmap of community interaction filtering by general-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.
Heatmap of community interaction filtering by general-type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español.

Figure B1:

Graph interaction network filtering by RT-type tweets. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.
Graph interaction network filtering by RT-type tweets. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.

Figure B2:

Heatmap of community interaction filtering by RT-type tweet. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.
Heatmap of community interaction filtering by RT-type tweet. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.

Figure B3:

Graph interaction network filtering by partisan-both type tweets. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.
Graph interaction network filtering by partisan-both type tweets. AA, Adelante Andalucía; Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.

Figure B4:

Heatmap of community interaction filtering by partisan–both type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.
Heatmap of community interaction filtering by partisan–both type tweet. Cs, Ciudadanos; PP, Partido Popular; PSOE, Partido Socialista Obrero Español; RT, ReTweet.

Number of interactions between community blocks_

Active user communityPassive user communityMadrid CountPercentage in active interactions (%)Andalusia CountPercentage in active interactions (%)
LeftLeft1,144.41496,34701.34397.51
RightRight928.54696,87677.90297.53
RightLeft15.1891,589.9511.43
LeftRight9.5240,807.3961.03

Twenty most common words on user bios and in tweets on the total dataset (Madrid)_

Most common words in user bio (#users)Most common words in tweets (#repetitions)
Vida (10.134)Madrid (450.380)
Madrid (6.477)Ayuso (361.285)
Siempre (6.097)Campaña (197.987)
Mundo (5.899)PSOE (173.369)
Cuenta (5.010)Votar (141.250)
Like (4.757)PP (132.791)
One (4.754)Podemos (124.714)
España (4.740)Vamos (119.522)
Twitter (4.696)Mayo (118.847)
Periodista (4.664)Gobierno (111.340)
World (4.240)Solo (110.208)
Amante (4.206)Hoy (109.700)
Always (3.984)VOX (107.015)
Gusta (3.912)Vota (88.731)
Solo (3.881)Comunidad (87.166)
Cosas (3.759)Libertad (83.192)
Libertad (3.370)Izquierda (75.137)
Mejor (3.517)Impuestos (74.244)
Lover (3.300)Odio (74.118)
Instagram (3.150)Elecciones (69.487)

Twenty most common words on user bios and in tweets on the total dataset (Andalusia)_

Most common words in user bio (#users)Most common words in tweets (#repetitions)
Vida (5.570)Andalucía (215.476)
Siempre (3.459)VOX (116.578)
España (3.284)PSOE (100.202)
Mundo (3.280)Moreno (96.101)
Cuenta (2.719)Olona (75.569)
Amante (2.482)Gobierno (67.033)
Política (2.419)Bonilla (66.217)
Libertad (2.399)Andaluces (62.678)
Periodista (2.368)PP (61.614)
Español (2.343)Hoy (56.327)
Social (2.285)Campaña (55.133)
Madrid (2.253)Votar (52.046)
Mejor (2.097)Acto (47.470)
Gusta (2.088)Años (42.184)
Oficial (1.978)Macarena (41.362)
Cosas (1.922)Vamos (39.435)
Derecho (1.853)Elecciones (39.068)
Feminista (1.826)Voto (35.918)
VOX (1.731)Debate (33.515)
Solo (1.722)Juanma (31.736)

Number of interactions with certain active/passive user_

Active user communityPassive user communityCountPercentage in active community interactions
VOXVOX535.70897.74
PAPA315.09293.27
PSOEPSOE292.71692.02
PPPP93.03193.14
AAAA46.05587.20
CsCs37.36294.51
PSOEPA21.3896.72
PAPSOE14.9984.44
PAAA4.7611.41
VOXPP4.6010.84
PPVOX4.4974.50
AAPA4.4488.42
VOXPSOE3.7930.69
PSOEVOX1.8110.57
PAVOX1.7300.51

Coefficients between votes, and community users and interactions (Andalusia)_

Political partyPopular voteCommunity #usersCoefficient votes/usersCommunity active interactionsCoefficient votes/interactions
PP1,582.4128.152194.11100.83015.69
PSOE883.70710.18486.77319.7142.76
VOX493.93237.84613.05554.2200.89
PA281.68837.3787.53344.8300.81
AA167.9706.28926.7154.6753.07
Cs120.8703.48734.6637.9703.18

Number of interactions between community blocks by reply-type tweet_

Active user communityPassive user communityMadrid CountPercentage in active interactions (%)Andalusia CountPercentage in active interactions (%)
LeftLeft18.40685.7910.10189.88
RightRight15.42277.8715.10389.67
RightLeft3.04915.391.2167.22
LeftRight1.6277.587046.26

Separation of tweets by Keyword/Hashtag type (Madrid)_

Active user communityType of keyword/hashtagPercentage of active user interactions
PodemosPartisan22.11
General67.87
Both10.02
VOXPartisan31.47
General60.14
Both8.39
PSOEPartisan43.40
General41.11
Both15.49
PPPartisan47.63
General26.24
Both26.13
MMPartisan19.83
General70.53
Both9.64
CsPartisan32.04
General47.63
Both20,.3

Number of interactions grouping by political blocks_

CommunityMadrid # Active interactions# Passive interactionsAndalusia # Active interactions# Passive interactions
Left1,187.8751,184.529719.219718.696
Right958.491948.635695.020692.701

Separation of tweets by keyword/hashtag type (Andalusia)_

Active user communityType of keyword/hashtagPercentage of active user interactions
VOXPartisan68.53
General20.07
Both11.40
PAPartisan43.63
General35.38
Both20.99
PSOEPartisan56.05
General9.67
Both34.28
PPPartisan54.31
General17.65
Both28.04
AAPartisan34.72
General42.55
Both22.73
CsPartisan40.94
General31.62
Both27.44

Most relevant users in each community (higher in-degree) (Andalusia)_

Community#1 user (#in-degree)#2 user (#in-degree)#3 user (#in-degree)
VOX@vox_es (65.769)@Macarena_Olona (44.949)@AndaluciaVox (36.838)
PA@AndaluciaSinVOX (37.583)@InmaNietoC (35.234)@JA_DelgadoRamos (31.096)
PSOE@PSOE (33.597)@psoedeandalucia (31.939)@_JuanEspadas (14.100)
PP@ppandaluz (23.798)@JuanMa_Moreno (18.636)@populares (7.497)
AA@AdelanteAND (6.601)@TeresaRodr_ (6.566)@Levantaos_and (1.512)
Cs@CiudadanosCs (10.229)@JuanMarin_Cs (4.059)@Cs_Andalucia (3.890)

Sentiment analysis by active users’ community (Andalusia)_

Active user communitySentimentPercentage of active userinteractions
VOXPositive15.10
Neutral19.00
Negative65.90
PAPositive18.74
Neutral16.27
Negative64.99
PSOEPositive25.35
Neutral17.43
Negative57.22
PPPositive24.25
Neutral15.16
Negative60.59
AAPositive24.09
Neutral15.14
Negative60.77
CsPositive23.00
Neutral17.20
Negative59.80

RT Coverage table_

DatasetRTs capturedMax RT value capturedRT coverage%
Madrid2,719.2084,071.57366.79
Andalusia1,413.4891,755.34480.52

Number of interactions between community blocks by general-type tweet_

Active user communityPassive user communityMadrid CountPercentage of active interactions (%)Andalusia CountPercentage of active interactions (%)
LeftLeft694.93594.94166.32694.37
RightRight483.50895.31133.02793.88
RightLeft10.6202.093.6382.57
LeftRight5.9040.802.9381.66

Tweet distribution over datasets_

DatasetExtraction periodNumber of tweetsNumber of users
MadridApril 18th–May 4th 20213,192.462626.885
AndalusiaJune 3rd–June 19th 20221,622.703155.018

Number of interactions between community blocks by RT-type tweet_

Active user communityPassive user communityMadrid CountPercentage in active interactionsAndalusia CountPercentage in active interactions
LeftLeft1,072.25197.12656.95398.11
RightRight869.21098.34632.61998.44
RightLeft4.4290.503.8050.59
LeftRight3.7620.343.6730.54

Most common words in users’ tweets by community (highlighted words with associated insights) (Madrid)_

PodemosVOXPSOEPPMMCs
AyusoIglesiasPSOEPopularesMadridMadrid
MadridMadridMadridMadridAyusoCs
VotarVOXAyusoAyusoMónicaHoy
PodemosPabloGobiernoLibertadGarcíaMadrileños
IglesiasIzquierdaVotarIglesiasComunidadComunidad
PabloHoyHoyEspañaHoyGobierno
IrVotarPPSánchezVotarPropuestas
FascismoAyusoGabilondoCampañaMonasterioMejor
PuedeCorreosVotoGobiernoCovidCandidato
HoyEspañaDemocraciaDíazRocíoCampaña

Number of users in each political community (Madrid)_

Community# Users
Podemos78.464
VOX71.994
PSOE12.638
PP9.818
MM9.513
Cs5.247

Most common words in users’ bio by community (highlighted words with associated insights) (Madrid)_

PodemosVOXPSOEPPMMCs
VidaEspañaSocialistaPopularMadridOficial
MundoEspañolPSOEPartidoVidaCiudadanos
SiempreVidaVidaMadridSocialPerfil
FeministaLibertadMadridOficialMundoCs
SocialMadridPolíticaPPPeriodistaPolítica
MadridVOXMundoVidaFeministaLiberal
CosasSiempreFeministaEspañaPolíticaConcejal
PodemosMundoSiemprePolíticaSiempreMadrid
PeriodistaAmanteSocialTwitterCuentaPortavoz
GustaCuentaPeriodistaConcejalEducaciónAyuntamiento

Sentiment analysis by active users’ community (Madrid)_

Active user communitySentiment% of active userinteractions
PodemosPositive20.58
Neutral13.17
Negative66.25
VOXPositive20.00
Neutral14.46
Negative65.54
PSOEPositive20.84
Neutral14.64
Negative64.52
PPPositive23.75
Neutral14.41
Negative61.84
MMPositive19.13
Neutral13.21
Negative67.66
CsPositive24.67
Neutral16.64
Negative58.69

#19J 2022 Andalusia election results_

Political partyPopular voteVote%Parliamentary seats
PP1,582.41243.1358
PSOE883.70724.0930
VOX (VOX)493.93213.4614
PA281.6887.685
AA167.9704.582
Cs120.8703.290

Tweet distribution by type (and percentage) over datasets_

DatasetTotal tweets (%)Original tweets (%)Retweets (%)Quote tweets (%)Reply tweets(%)
Madrid3,192.462 (100)217.995 (6.83)2,719.208 (85.18)184.564 (5.78)70.695 (2.21)
Andalusia1,622.703 (100)89.853 (5.54)1,413.489 (87.11)86.627 (5.34)32.734 (2.01)

Number of users in each political community (Andalusia)_

Community# Users
VOX37.846
PA37.378
PSOE10.184
PP8.152
AA6.289
Cs3.487

Number interactions (active and passive) for each community (Andalusia)_

Community# Active interactions# Passive interactions
VOX554.220550.492
PA344.830348.668
PSOE319.714315.196
PP100.830101.641
AA54.67554.832
Cs37.97040.568

#4M 2021 Madrid election results_

Political partyPopular voteVote%Parliamentary seats
PP1,620.21344.7365
MM614.66016.9724
PSOE610.19016.8524
VOX (VOX)330.6609.1313
Unidas Podemos (Podemos)261.0107.2110
Cs129.2163.570

Network-directed graph metrics_

DatasetNumber of nodes |V|Number of edges |E|Average degree
Madrid645.0981,924.0545.96
Andalusia157.922741.3379.39

Hashtags and keywords captured during the Madrid #4M 2021 electoral campaign period_

Hashtag/keywordStarted trackingComments
#4M18/4/2021General hashtag
#4Mayo18/4/2021General hashtag
#Elecciones4M18/4/2021General hashtag
4M18/4/2021General keyword
4Mayo18/4/2021General keyword
#EleccionesMadrid21/4/2021General hashtag
#DebateTelemadrid21/4/2021General TV Debate Hashtag
#HazloXMadrid18/4/2021Campaign Slogan PSOE
#VotaPSOE18/4/2021Hashtag used by PSOE
#MadridConMonica18/4/2021Hashtag used by MM
#PorLoQueDeVerdadImporta18/4/2021Campaign Slogan MM
#ElMadridQueImporta18/4/2021Hashtag used by MM
#YoConAyuso18/4/2021Hashtag used by PP
#VotaLibertad18/4/2021Campaign Slogan PP
#ProtegeMadrid18/4/2021Campaign Slogan VOX
#VotaSeguro21/4/2021Hashtag used by VOX
#QueHableLaMayoria18/4/2021Campaign Slogan Podemos
#QueHableLaMayoria4M18/4/2021Hashtag used by Podemos
#MadrileñosPorEdmundoBal18/4/2021Hashtag used by Cs
#EligeCentro18/4/2021Campaign Slogan Cs

Most common words in users’ bio by community (highlighted words with associated insights) (Andalusia)_

VOXPAPSOEPPAACs
EspañaVidaSocialistaPopularPeriodistaOficial
VOXMundoPSOEPartidoAndalucíaPerfil
EspañolSiempreVidaPPVidaCiudadanos
VidaFeministaFeministaVidaSevillaCs
LibertadPodemosSecretarioOficialPolíticaLiberal
SiempreSocialMundoConcejalFeministaPolítica
CuentaAntifascistaSiempreDerechoSocialConcejal
MadridRepublicanoIgualdadMadridAndaluzPortavoz
MundoCosasGeneralPortavozMundoPeriodista
FamíliaGustaPolíticaPolíticaComunicaciónPartido

Most relevant users in each community (higher in-degree) (Madrid)_

Community#1 user (#in-degree)#2 user (#in-degree)#3 user (#in-degree)
Podemos@carlosbardem (38.269)@PODEMOS (34.134)@PabloIglesias (27.399)
VOX@IdiazAyuso (58.358)@vox_es (43.518)@madrid_vox (29.407)
PSOE@PSOE (47.999)@equipoGabilondo (14.013)@psoe_m (7.712)
PP@populares (36.242)@ppmadrid (22.973)@ismaelquesada (3.869)
MM@Monica_Garcia_G (13.462)@MasMadridCM (5.426)@ierrejon (4.786)
Cs@CiudadanosCs (21.670)@BalEdmundo (7.527)@Cs_Madrid (6.009)

Number interactions (active and passive) for each community (Madrid)_

Community# Active interactions# Passive interactions
Podemos883.524842.617
VOX690.919689.495
PSOE284.695269.129
PP167.279158.281
MM69.65672.783
Cs100.293100.859

Hashtags and keywords captured during the Andalusia #19J 2022 electoral campaign period

Hashtag/keywordStarted trackingComments
#19J3/6/2022General hashtag
#19Junio3/6/2022General hashtag
#19JAndalucia3/6/2022General hashtag
#Elecciones19J3/6/2022General hashtag
19J3/6/2022General keyword
19Junio3/6/2022General keyword
#EleccionesAndaluzas3/6/2022General hashtag
#EleccionesAndalucia3/6/2022General hashtag
#EleccionesAndalucia20226/6/2022General hashtag
#DebateRTVE6/6/2022General TV Debate Hashtag
#ElDebateDecisivo13/6/2022General TV Debate Hashtag
#DebateDecisivo13/6/2022General TV Debate Hashtag
#AndaluciaAvanza3/6/2022Campaign Slogan PP
#JuanmaPresidente3/6/2022Hashtag used by PP
#SiVotamosGanamos3/6/2022Hashtag used by PSOE
#AndaluciaQuiereMas3/6/2022Campaign Slogan PSOE
#VotaPSOE3/6/2022Hashtag used by PSOE
#19JAdelante3/6/2022Hashtag used by AA
#AdelanteAndalucia3/6/2022Hashtag used by AA
#EnDefensaPropia3/6/2022Campaign Slogan AA
#AndaluciaEnDefensaPropia3/6/2022Hashtag used by AA
#Adelante19J6/6/2022Hashtag used by AA
#VotaAdelante19J13/6/2022Hashtag used by AA
#VotaTere19J13/6/2022Hashtag used by AA
#CambioReal3/6/2022Campaign Slogan VOX
#OlonaPresidenta3/6/2022Hashtag used by VOX
#VotaMacarenazo6/6/2022Hashtag used by VOX
#VotaMacarenaPresidenta13/6/2022Hashtag used by VOX
#PorAndalucia3/6/2022Campaign Slogan PA
#AndaluciaLiberal3/6/2022Hashtag used by Cs
#ElCambioQueFunciona3/6/2022Campaign Slogan Cs

Most common words in users’ tweets by community (highlighted words with associated insights) (Andalusia)_

VOXPor AndalucíaPSOEPPAdelante AndalucíaCs
VOXMorenoAndalucíaAndalucíaAndalucíaAndalucía
AndalucíaAndalucíaPSOEAndalucesTeresaCs
PSOEOlonaMorenoPresidenteRodríguezGobierno
JunioVOXBonillaPopularesAdelanteAndaluces
MacarenaBonillaGobiernoAñosOlonaVoto
CampañaPPPPMayoríaDebateAños
GobiernoJuanmaVotarGobiernoCampañaHoy
AndalucesAndalucesVamosSeguirVotaCambio
OlonaGenteActoMejorHoyCiudadanos
ActoSanidadVotoPSOECandidataOlona

Coefficients between votes, and community users and interactions (Madrid)_

Political partyPopular voteCommunity #usersCoefficient votes/usersCommunity active interactionsCoefficient votes/interactions
PP1,631.6089.818166.18167.2799.75
MM619.2159.51365.0969.6568.88
PSOE612.62212.63848.47284.6952.15
VOX333.40371.9944.63690.9190.48
Podemos263.87178.4643.36883.5240.30
Cs130.2375.24724.82100.2931.30

Number of interactions between community blocks by quote-type tweet_

Active user communityPassive user communityMadrid CountPercentage in active interactions (%)Andalusia CountPercentage in active interactions (%)
LeftLeft53.75786.0834.28989.27
RightRight43.91480.0130.18084.82
RightLeft7.71114.054.57012.84
LeftRight3.8656.193.0197.86

Number of tweets separating by type of keyword/hashtag_

Type of keyword/hashtagMadridAndalusia
Partisan664.205827.771
General1,979.082393.090
Both206.421303.402
DOI: https://doi.org/10.21307/connections-2019.033 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 77 - 112
Published on: May 18, 2024
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Raul Broto Cervera, Cristina Pérez-Solà, Albert Batlle, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.