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Framing Otherness on Twitter: gender, elections and networks Cover

Framing Otherness on Twitter: gender, elections and networks

Open Access
|May 2024

Figures & Tables

Figure 1:

Topic modeling based on 187,244 tweets mentioning the account of @ FranciaMarquezM. Topic 1. The interactive visualization can be found here
Topic modeling based on 187,244 tweets mentioning the account of @ FranciaMarquezM. Topic 1. The interactive visualization can be found here

Figure 3:

Topic modeling based on 29,037 tweets by women mentioning the account of @ FranciaMarquezM. Topic 3. The interactive visualization can be found here
Topic modeling based on 29,037 tweets by women mentioning the account of @ FranciaMarquezM. Topic 3. The interactive visualization can be found here

Figure 4:

Topic modeling based on 54.848 tweets by men mentioning the account of @ FranciaMarquezM. Topic 1. The interactive visualization can be found here
Topic modeling based on 54.848 tweets by men mentioning the account of @ FranciaMarquezM. Topic 1. The interactive visualization can be found here

Figure 5:

Co-occurrences visualization based on 10 more frequent female authors and 38 more frequent hashtags from a dataset of 29.000 tweets. The size of the nodes denote their frequency. The interactive visualization can be seen here https://app.vosviewer.com/?json=https://drive.google.com/uc?id=1nNYzAi0PgT_R8aHzZ6XcKve7iHmfWHQX
Co-occurrences visualization based on 10 more frequent female authors and 38 more frequent hashtags from a dataset of 29.000 tweets. The size of the nodes denote their frequency. The interactive visualization can be seen here https://app.vosviewer.com/?json=https://drive.google.com/uc?id=1nNYzAi0PgT_R8aHzZ6XcKve7iHmfWHQX

Figure 6:

Co-occurrences visualization based on 10 more frequent male authors and 38 more frequent hashtags from a dataset of 54,848 tweets. The interactive visualization can be seen here: https://app.vosviewer.com/?json=https://drive.google.com/uc?id=1X9UtGCgFc9Ek5vDZtlYlUy4Wj1fUN2T
Co-occurrences visualization based on 10 more frequent male authors and 38 more frequent hashtags from a dataset of 54,848 tweets. The interactive visualization can be seen here: https://app.vosviewer.com/?json=https://drive.google.com/uc?id=1X9UtGCgFc9Ek5vDZtlYlUy4Wj1fUN2T

Topics and terms of the whole dataset on the base of 187,244 tweets_

TermsTopics & tokens %
1«vam,»graci»,»esper», «mujer»,»seg»,»muj»,»dignid»,»amor»,»luch», “vid”Women-dignity 10.3%
2“apoy”, «navarrowolf», “angelamroble», «antanasmockus», «corrupt», «cuent», «aliriouribemunoz», «guerriller», “mentir”, “trabaj”Support-issues 10.2%
3«vot»,»cambi»,»petropresident»,»vid»,»sal»,»necesit», “famili»,»gent»,»colomb»,»paz»Change 10.1%
4“petro”, «president»,»vicepresident»,»franc»,»primer»,»quiero»,»gustav», «vic», “marquez»Petro-Francia 10.1%
5“viv», «sabros»,»social»,»quer»,»paz», “derech”, “histor”, “pact”, “trabaj”, “comun”Better life 10.1%
6“usted”, “ingrodolfohndez», «sab»,»habl»,»rodolf”, «mied»,»castillomarel», “debat”, “respet”, “alavaroleyv”Opponent candidate 9.9%
7«pued”, «ecoanec»,»alexlopezmay», «ver», “adrianaluci”, “santialarconu”, “dianangel”, “polodemocr”, “odi”, “bien”Supporting figures 9.9%
8“colomb”,»gan»,»hoy»,»puebl»,»nuev»,»dios»,»colombian»,»felicit»,»nadi»,»histori»Victory 9.9%_
9«politica»,»campa»,»mism»,»arielanaliz», «urib», “van”, “eljulisastoque”, “corrupcn”, “verdad”, “candida”Politics 9.8%
10alfonsopr,»margaritarosadf»,»gustavoboliv»,»pactocol»,»aabenedetti»,»pizarrom ariaj»,»pactohistor»,»mafecarrascal»,»sofiapetro»,»veronicalcocerg»Supporting figures 9.8%

Topics and terms on the base of 54_848 tweets attributed to males mentioning the account of @FranciaMarquezM_

TermsTopics & tokens %
1«viv», “apoy»,»pac»,»sabros»,»arieanaliz», «social», «franc»,»dignid», “asesin”, “mujer”Pact-Francia 20.4%
2“ser»,»pued»,»navarrowolf»,»angelamrobled»,»antanasmockus»,»ver»,»mal»,»aliriour ibemuoz»,»gloriasniet»,»gobiern»Political figures 20.4%
3«col»,»cambi»,»esper»,,»vid», “pueblo”, “mejor”, “nuevo”, “paz”, “histori”,“democraci”Change 20%
4«ingrodolfohndez»,»alfonsopr»,»gustavoboliv»,»aabenedetti»,»pactocol», “pactohistor”, “urib”, wradiocolombi”, “corrupt”, “mied”Pact-Colombian issues 19.7%
5«colombian»,» margaritarosadf», «pizarromariaj»,»segu»,»sofiapetro», “gustav’, “tobonsanin”, “famil”, “amor”, “susanaboreal”Supporting figures 19.5%

Topics and terms on the base of 29_037 tweets attributed to females mentioning the account of @FranciaMarquezM_

TermsTopics & tokens %
1«ingrodolfohndez», «alfonsopr», “futur”, “soypetrosoypaz”, “apoy”, “pac”, “migente”, “votarpor”, “votartempran”, “pactocol”Elections 25.5%
2«petr»,»cambi»,»president»,»vicepresident»,»vamos», “gan”, “nuev”, “paz”, “esper”, “democrac”Change-peace 25.3%
3«margaritarosadf»,»vid»,»mujer»,»muj», “pueb”, “dios”, «represent», «esper», «dignid”, “pizarromariaj”Women 24.7%
4«viv,»quier»,»pued»,»sabros»,»trabaj»,»mejo»,»pod»,»navarrowolf»,»ver»,»pact», “angelamrobledo”Living with taste 24.4%

Comparison of words and mentions proportionally more used by the two genders_

words malesDiffInP zwords femalesDiffInP zat malesDiffInP zat femalesDiffInP z
orchestrated12peace (in plural)−33.7@petrogustavo10.8@independent news channel−25.6
pettiness11.8we will have−31.7@women’s movement10.5@ news channel−11.7
wake up!11.8we do−30.7@female artist9.6@women’s movement−7.4
to generate11.2reasons−29.8@women from political party9.3@female activist−7.1
to look for11.2past−27.6@male politician8.9@male political analyst−7.1
to lie10.9future−23.8@male politician8.9@National Registry of Civil Status−6.8
resentment10.5millions−19.8@male politician8.6@female activist−6.6
decency10.2I have−19.5@male politician8.4@male activist−6.5
values10.1thanks−16.6@male politician8.1@female activist−6.2
colombians9.9help us−16.5@male politician7.9@male activist−6.1
dirty9.8vicepresident−15.4@male politician7.8@male activist/influencer−6
lies9.7hope−14.1@female politician7.4@female writer−6
hatred9.4mary−13.1@female politician7.3@female former president
to burn9.2woman−13@female politician7.2@male politician−5.9
it/they will burn9women−12.8@female politician7@female influencer−5.6
burning8.9francia−12.5@female artist7@chancellor’s office
hunger8.9virgin−11.8@activist movement6.9@male influencer−5.3
tired of8.8I love−11.8@male politician6.8@male politician−4.8
equality8.7mother−11.2@male politician6.7@female journalist-opposition−4.7
white8.7proud (female)−11.1@political party6.7
roy8.4happiness−10.4@news radio station6.6
it goes8.4festival−10.1@female indigenous politician6.3
pact8.4duet−9.9@news journal6.3
dream8.4we (women)−9.4@news journal6.2
campaign8dance−8.8@political party6.2
rodolfo7.5reach−8.8@political party6.2
farc7.3we are−8.8@male politician6
they go7.3deared−8.7@female activist5.9
fact7.3we want−8.6@male activist5.9
benedetti6.9victory−8.1@male independent journalist5.8
violence6.8happy−8.1@female indigenous politician5.6
devil6.7let’s go−7.9@newspaper5.6
senator6.7feminist−7.8@male politician5.4
assassins6.6god−7.7@female activist5.4
petro6.6music−7.6@news channel5.4
criminalEwe go ahead−7.5@male politician5.4
crisis6.5emotion−7.4@army member5.3
let’s do6.5I feel−7.4@male politician5.2
eln6.4confident (woman)−6.4@political party5
power6.4beauty−6.3@female politician5
rat6.3history−6.3@political party4.9
followers6.3to live−6.3
tendencies6.2wisdom−6.3
bandits6.1we love−6.3
uribism6.1to help−6.2
proud (male)6we deserve−6.1
estate5.9márquez−6
gustavo5.9we will go−6
to grow5.8excited (woman)−5.9
communist5.7I cry−5.8
they are5.7I admire−5.8
old5.7represented (woman)−5.7
equal5.6to give us back−5.7
historic5.6to dream−5.7
politics5.5hearing−5.7
prada5.5faith−5.7
boss5.5we believe−5.7
cuba5.3habit−5.6
case5.3tasty−5.6

E-I index of the mentions between the group of females and between the group of males_

FEMALE SET% of totalMALE SET% of total
(Total number of tweets in total dataset: 187244)
Total no. of tweets in classified dataset2903715,55484829,3
Total no. unique classified usernames Tweeters1182740,72284241,6
(Total overall mentions (incl. non classified))105445 215902
Total females from list mentioned65986,3162367,5
Total unique females from list mentioned109016,513998,6
Total males from list mentioned95309,02671112,4
Total unique males from list mentioned163017,1294311,0
Total male and female mentions1612815,34294719,9
E-I index0,18 −0,24
Expected E-I index (from overall twitter stats)0,17 −0,17
DOI: https://doi.org/10.21307/connections-2019.032 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 57 - 76
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 Elizabeth Pinilla Duarte, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.