The document analyzes tweets containing the hashtag "#SpanishRevolution" from April-May 2013 during economic/housing crises in Spain. Key findings include:
1) "#SpanishRevolution" is strongly connected to hashtags like "#15M", "#StopDesahucios", representing opposition to governing parties and social/political issues at the time.
2) Related hashtags referred to important social actors ("#15M"), calls to action ("#NoLesVotes") or metaphorically represented anti-eviction movements with colors.
3) The main discourse among #SpanishRevolution tweets centered around "#15M", "#VAEO", "#Nolesvotes" and was focused/proposed surprisingly by
Eavesdropping on the Twitter Microblogging SiteShalin Hai-Jew
Research analysts go to Twitter to capture the general trends of public conversations, identify and profile influential accounts, and extract subgroups within larger collectives and larger discourses; they also go to eavesdrop on individual self-talk and individual-to-individual conversations. So what is technically in your tweets, asked Dave Rosenberg famously in a CNET article (2010). The answer: a whole lot more than 140 characters. How are the most influential social media accounts identified through #hashtag graphs? How are themes extracted? How are sentiments understood? How can users be profiled through their Tweetstreams? How can locations be mapped in terms of the Twitter conversations occurring in particular physical areas? How can live and trending issues be identified and categorized in terms of sentiment (positive, negative, and neutral)? This presentation will summarize some of the free and open-source tools as well as commercial and proprietary ones that enable increased knowability.
Eavesdropping on the Twitter Microblogging SiteShalin Hai-Jew
Research analysts go to Twitter to capture the general trends of public conversations, identify and profile influential accounts, and extract subgroups within larger collectives and larger discourses; they also go to eavesdrop on individual self-talk and individual-to-individual conversations. So what is technically in your tweets, asked Dave Rosenberg famously in a CNET article (2010). The answer: a whole lot more than 140 characters. How are the most influential social media accounts identified through #hashtag graphs? How are themes extracted? How are sentiments understood? How can users be profiled through their Tweetstreams? How can locations be mapped in terms of the Twitter conversations occurring in particular physical areas? How can live and trending issues be identified and categorized in terms of sentiment (positive, negative, and neutral)? This presentation will summarize some of the free and open-source tools as well as commercial and proprietary ones that enable increased knowability.
The Adoption of Social Network Sites for Expressive Participation in Internet...BO TRUE ACTIVITIES SL
The present study is an initial effort to develop a model that explores how uses of ICTs, particularly SNSs, foster expressive forms of participation that result in civic participation. In doing so, we attempt to investigate the acceptance and use of SNSs by members’ e-movements and SMOs and whether these uses turn results in a host of traditional or offline civic participatory behaviours. A theoretical model is proposed and justified, albeit not empirically validated. Thus, representing an opportunity for future research. The ideas extracted from the discussion should be a help for citizens to create social movements on the Internet. In this regard, numerous practical reflections and suggestions are presented.
Really do university students believe that facebook is a useful tool to mobil...BO TRUE ACTIVITIES SL
The use of information and communication technologies pervades our lives. A specific type of social media that is playing a crucial role in this upsurge of participation in cyber-collective social movements (CSMs) is the social networking sites (SNS). We employ an extended model from the Unified Theory of Acceptance and Use of Technology (UTAUT) as our theoretical framework to understand student perceptions of SNS use expectations (performance expectancy and effort expectancy), social acceptance (social influence), and their perceptions about resource availability (facilitating conditions) for expressive social participation. This extended model introduces social variables (SNS mobilization effort and offline civic participation) that researchers have identified as important in explaining behaviors. In doing so, it advances a model of how activities in the online domain can ‘spill’ over to the offline domain. We have provided empirical support for the applicability of UTAUT to the expressive participation in CSMs via a survey of 214 SNS users. Our results confirm that expectancy and social influence significantly affect student intentions to use SNS for expressive participation in CSMs. Likewise, SNS mobilization effort emerged as a strong significant predictor of both intention and the use of SNS for expressive participation, but not for offline civic participation. Last, the use of SNS for expressive participation was a significant predictor for offline civic participation, which suggests that users who publicly express their socio-political opinions in SNS are more likely than others to participate in demonstrations.
Ponencia Congreso Andaluz Sociología, Almeria 25.11.2016 Social media el quin...BO TRUE ACTIVITIES SL
Las redes sociales en Internet han dado voz a los que no la tenían y han tenido un impacto democratizador en todo el mundo, aunque también, como dice Umberto Eco, le dan el derecho de hablar a legiones de idiotas. No obstante, muchos académicos son optimistas acerca de la capacidad del uso de Internet en el ámbito de lo social para incrementar las manifestaciones convencionales de activismo o compromiso social. ¿Cómo se manifiestan los movimientos sociales en Internet? ¿Qué papel juegan los medios de comunicación? ¿Hay personas centrales? ¿Existen patrones comunes en las redes sociales en internet? ¿De qué manera el uso de las redes sociales en internet facilita la discusión y la acción colectiva?
Hyperlink Formation in Social Bookmarking Systems: Who is Who Online?BO TRUE ACTIVITIES SL
Social bookmarking systems attract researchers in information systems and social sciences because they offer an enormous quantity of user-generated annotations that reveal the interests of millions of people. In this paper, we explore a different viewpoint to gain an understanding of the social bookmarking systems.
Using data crawled from a large social tagging system we argue that the prominence of a website, as measured by its status or public recognition, also determines its centrality.
To test this hypothesis we predict the indexes of authority and other measures of centrality via Social Network Analysis. We also use Gephi to visualize the networks, and analyze the structure.
The results discussed in the paper come from a sample of 61,043 taggings that involved 3,668 users and 4,913 bookmarked websites from a specific Social Network Sites, Delicious, on the subject of globalization of agriculture.
We find that mass media companies have a competitive advantage in attracting links and user attention.
LiMoSINe Press kit introduces this project that integrates the studies of leading researchers over diverse topics with a view to enable new kinds of language-based technology search. Now we are developing 5 demonstrators: ORMA, ThemeStreams, FlickrDemo, DEESSE and Streamwatchr. http://limosine-project.eu/
VenTESOL Social Media for Effective Teacher DevelopmentAndrés Ramos
How can we develop professionally 24/7 all year-round? We make efforts to attend national and local ELT conferences; but we long for reliable sources and ways to coach ourselves and one another, access to content that can help us make a difference in our teaching practice. And we need all this accomplished affordably and realistically, in the context of our realities and constraints, namely time and money, as we struggle with the priorities of our daily lives. To address this need, along with ELT events, projects and activities, VenTESOL has been deploying a variety of social media outlets where we can access and engage with content and contacts that we can customize to our teacher development purposes, the coverage of our cell phones, the capacity of our devices and the width of our internet connection. Let’s connect age-old principles of research methodology to our personal use of simple, ubiquitous social media platforms at this BYOD (bring your own device) workshop where you have the power of knowledge at your fingertips. Discover the hashtags, tips, and shortcuts where a community of teachers helping teachers will help you succeed at your strife for excellence.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Additional Notes for "All in a Twitter" PresentationBryn Robinson
These are the notes that accompanied the slide deck on using social media to share your science. If you have any questions, please get in touch - @brynphd.
Blocked by YouTube - Unseen digital intermediation for social imaginaries in ...University of Sydney
YouTube is one of the most globally utilised online content sharing sites, enabling new commercial enterprise, education opportunities and facilities for vernacular creativity (Burgess, 2006). Its user engagement demonstrates significant capacity to develop online communities, alongside its arguably more popular use as a distribution platform to monetise one’s branded self (Senft, 2013). However, as a subset of Alphabet Incorporated, its access is often restricted by governments of Asian Pacific countries who disagree with the ideology of the business. Despite this, online communities thrive in these countries, bringing into question the sorts of augmentations used by its participants. This article reframes the discussion beyond restrictive regulation to focus on the DIY approach (augmentation) of community building through the use of hidden infrastructures (algorithms). This comparative study of key YouTube channels in several Asia Pacific countries highlights the sorts of techniques that bypass limiting infrastructures to boost online community engagement and growth. Lastly, this article reframes the significance of digital intermediation to highlight the opportunities key agents contribute to strengthening social imaginaries within the Asia Pacific region.
The Adoption of Social Network Sites for Expressive Participation in Internet...BO TRUE ACTIVITIES SL
The present study is an initial effort to develop a model that explores how uses of ICTs, particularly SNSs, foster expressive forms of participation that result in civic participation. In doing so, we attempt to investigate the acceptance and use of SNSs by members’ e-movements and SMOs and whether these uses turn results in a host of traditional or offline civic participatory behaviours. A theoretical model is proposed and justified, albeit not empirically validated. Thus, representing an opportunity for future research. The ideas extracted from the discussion should be a help for citizens to create social movements on the Internet. In this regard, numerous practical reflections and suggestions are presented.
Really do university students believe that facebook is a useful tool to mobil...BO TRUE ACTIVITIES SL
The use of information and communication technologies pervades our lives. A specific type of social media that is playing a crucial role in this upsurge of participation in cyber-collective social movements (CSMs) is the social networking sites (SNS). We employ an extended model from the Unified Theory of Acceptance and Use of Technology (UTAUT) as our theoretical framework to understand student perceptions of SNS use expectations (performance expectancy and effort expectancy), social acceptance (social influence), and their perceptions about resource availability (facilitating conditions) for expressive social participation. This extended model introduces social variables (SNS mobilization effort and offline civic participation) that researchers have identified as important in explaining behaviors. In doing so, it advances a model of how activities in the online domain can ‘spill’ over to the offline domain. We have provided empirical support for the applicability of UTAUT to the expressive participation in CSMs via a survey of 214 SNS users. Our results confirm that expectancy and social influence significantly affect student intentions to use SNS for expressive participation in CSMs. Likewise, SNS mobilization effort emerged as a strong significant predictor of both intention and the use of SNS for expressive participation, but not for offline civic participation. Last, the use of SNS for expressive participation was a significant predictor for offline civic participation, which suggests that users who publicly express their socio-political opinions in SNS are more likely than others to participate in demonstrations.
Ponencia Congreso Andaluz Sociología, Almeria 25.11.2016 Social media el quin...BO TRUE ACTIVITIES SL
Las redes sociales en Internet han dado voz a los que no la tenían y han tenido un impacto democratizador en todo el mundo, aunque también, como dice Umberto Eco, le dan el derecho de hablar a legiones de idiotas. No obstante, muchos académicos son optimistas acerca de la capacidad del uso de Internet en el ámbito de lo social para incrementar las manifestaciones convencionales de activismo o compromiso social. ¿Cómo se manifiestan los movimientos sociales en Internet? ¿Qué papel juegan los medios de comunicación? ¿Hay personas centrales? ¿Existen patrones comunes en las redes sociales en internet? ¿De qué manera el uso de las redes sociales en internet facilita la discusión y la acción colectiva?
Hyperlink Formation in Social Bookmarking Systems: Who is Who Online?BO TRUE ACTIVITIES SL
Social bookmarking systems attract researchers in information systems and social sciences because they offer an enormous quantity of user-generated annotations that reveal the interests of millions of people. In this paper, we explore a different viewpoint to gain an understanding of the social bookmarking systems.
Using data crawled from a large social tagging system we argue that the prominence of a website, as measured by its status or public recognition, also determines its centrality.
To test this hypothesis we predict the indexes of authority and other measures of centrality via Social Network Analysis. We also use Gephi to visualize the networks, and analyze the structure.
The results discussed in the paper come from a sample of 61,043 taggings that involved 3,668 users and 4,913 bookmarked websites from a specific Social Network Sites, Delicious, on the subject of globalization of agriculture.
We find that mass media companies have a competitive advantage in attracting links and user attention.
LiMoSINe Press kit introduces this project that integrates the studies of leading researchers over diverse topics with a view to enable new kinds of language-based technology search. Now we are developing 5 demonstrators: ORMA, ThemeStreams, FlickrDemo, DEESSE and Streamwatchr. http://limosine-project.eu/
VenTESOL Social Media for Effective Teacher DevelopmentAndrés Ramos
How can we develop professionally 24/7 all year-round? We make efforts to attend national and local ELT conferences; but we long for reliable sources and ways to coach ourselves and one another, access to content that can help us make a difference in our teaching practice. And we need all this accomplished affordably and realistically, in the context of our realities and constraints, namely time and money, as we struggle with the priorities of our daily lives. To address this need, along with ELT events, projects and activities, VenTESOL has been deploying a variety of social media outlets where we can access and engage with content and contacts that we can customize to our teacher development purposes, the coverage of our cell phones, the capacity of our devices and the width of our internet connection. Let’s connect age-old principles of research methodology to our personal use of simple, ubiquitous social media platforms at this BYOD (bring your own device) workshop where you have the power of knowledge at your fingertips. Discover the hashtags, tips, and shortcuts where a community of teachers helping teachers will help you succeed at your strife for excellence.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Additional Notes for "All in a Twitter" PresentationBryn Robinson
These are the notes that accompanied the slide deck on using social media to share your science. If you have any questions, please get in touch - @brynphd.
Blocked by YouTube - Unseen digital intermediation for social imaginaries in ...University of Sydney
YouTube is one of the most globally utilised online content sharing sites, enabling new commercial enterprise, education opportunities and facilities for vernacular creativity (Burgess, 2006). Its user engagement demonstrates significant capacity to develop online communities, alongside its arguably more popular use as a distribution platform to monetise one’s branded self (Senft, 2013). However, as a subset of Alphabet Incorporated, its access is often restricted by governments of Asian Pacific countries who disagree with the ideology of the business. Despite this, online communities thrive in these countries, bringing into question the sorts of augmentations used by its participants. This article reframes the discussion beyond restrictive regulation to focus on the DIY approach (augmentation) of community building through the use of hidden infrastructures (algorithms). This comparative study of key YouTube channels in several Asia Pacific countries highlights the sorts of techniques that bypass limiting infrastructures to boost online community engagement and growth. Lastly, this article reframes the significance of digital intermediation to highlight the opportunities key agents contribute to strengthening social imaginaries within the Asia Pacific region.
Exploring the Bi-verse.A trip across the digital and physical ecospheresMarco Brambilla
The Web and social media are the environments where people post their content, opinions, activities, and resources. Therefore, a considerable amount of user-generated content is produced every day for a wide variety of purposes. On the other side, people live their everyday life immersed in the physical world, where society, economy, politics and personal relations continuously evolve. These two opposite and complementary environment are today fully integrated: they reflect each other and they interact with each other in a stronger and stronger way.
Exploring and studying content and data coming from both environments offers a great opportunity to understand the ever evolving modern society, in terms of topics of interest, events, relations, and behaviour.
In this speech I will discuss through business cases and socio-political scenarios how we can extract insights and understand reality by combining and analyzing data from the digital and physical world, so as to reach a better overall picture of reality itself. Along this path, we need to keep into account that reality is complex and varies in time, space and along many other dimensions, including societal and economic variables. The speech highlights the main challenges that need to be addressed and outlines some data science strategies that can be applied to tackle these specific challenges.
This slide deck has been presented as a keynote speech at WISE 2022 in Biarritz, France.
Presentation on "Managing the Repertoire: Stories, Metaphors, Prototypes, and Concept Coherence in Product Innovation"
Author Name:Seidel, V. P. & Mahony, S.
Year of Publishing: 2014
Journal Name: Organization Science
2nd Regional Symposium on Open Educational Resources:
Beyond Advocacy, Research and Policy
24 – 27 June 2014
Sub-theme 2: Impact
Keynote: The impact of OER in the education and training sector in India: from content to an inclusive learning ecosystem
Professor M. M. Pant
Social media as a tool for terminological researchTERMCAT
Social media as a tool for terminological research
Anita Nuopponen - University of Vaasa
Niina Nissilä - University of Vaasa
VII EAFT Terminology Summit. Barcelona, 27-28 november 2014
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Announcement of 18th IEEE International Conference on Software Testing, Verif...
Spanish revolution 23 4-2014 en
1. 1
The Spanish Revolution in Twitter (1): Hashtags,
Escraches and Anti – Evictions social movement in Spain
Estrella Gualda (estrella@uhu.es)
Juan D. Borrero (jdiego@uhu.es)
José Carpio (jose.carpio@dti.uhu.es)
University of Huelva
1st IMASS conference, Methods and An
in Social Sciences, 23-24 April 2014, O
Portugal, http://imass.ca/imass/confe
2. Table of contexts
ework
uraging Mobilization
ntages and changes with Micro-blogging
tional advantages of micro-blogging websites
urn to micro-discourses
of micro-discourses included in Twitter
ext and Topic of Study
and anti-evictions social movements
e Success of the Anti-Evictions Social Movements in Spain
ctives
hods
collection
ysis
lts
tative analysis (Atlas ti): Codification and analysis of micro-
urses contained in the tweets
e final codes in Atlas ti and the original terms in the tweets
Results (cont.)
Basic description of the #SpanishRevolution: Global patterns
Co-ocurrences of codes in tweets
Qualitative analysis (Atlas ti): First Exploration of co-
ocurrences of codes (#)
Codes exported to Spss. Testing of hypothesis in Spss
combination and triangulation between Qualitative and
Quantitative analysis .
Importance of hashtags in the #Spanish Revolution dataset
Network of o-occurences among #s within the
#SpanishRevolution discourse
Network of significative correlations among # linked to the
#SpanishRevolution discourse
Tweet’s Authors
Summarizing
Discussion
Conclusions & Following Steps
3. Framework
Encouraging Mobilization
• Old Revolutions and Social Movements dissemination:
• meetings, assemblies, demonstrations, and also through instruments as pamphlets,
posters, by word of mouth, and similar.
• At the end of the twentieth century the process of encouraging external
mobilization used to be supported by a combination of different media:
• TV, mailing, webpages or messages disseminated through mobiles.
• At the beginning of the XXI, the Web 2.0 based on the developing of Social
Networks through the Internet introduced new ways of announce or call
any type of protest, meeting, etc.
• Diffusion by very effective and fast means, on real-time
• Twitter, Facebook, WhatsApp and similar social media, that were added to other
traditional ones.
• Mobile devices (smart phones…) open up new ways to communicate and share
content.
4. Framework
Advantages and changes with Micro-blogging
• Micro-blogging changed some parameters of the collective
mobilization:
• Strategies for spreading the movement, the potential scope of the
dissemination, etc.
• Micro-blogging reflects the human desire to share and consume
information and knowledge (Allen et al. 2011)
• Mobile devices can directly share content such as micro-blogs without
Internet infrastructure
• Profits in scalability
• The potential to provide content relevant to the end user without explicit
subscriptions
5. Framework
Additional advantages of micro-blogging websites
As argumented by Allen et al. (2011):
• Micro-blog posts (short messages) require less time and effort to write than
‘traditional’ blog posts, yet still allow wide distribution among social networks
when compared to email or instant messaging.
• Also brevity further allows the reader to easily filter large numbers of messages.
• And even the broadcast nature of reduces the cognitive threshold for the writer
to decide to share and the burden of readers to process all updates.
• The structure of the networks induced by micro-bloggers and their followers
makes them an ideal mechanism for rapid dissemination of information amongst
ad hoc social communities.
6. Framework
The turn to micro-discourses
• Discourses: From old Philosophy to recent semantics and discourse analysis (linguistics)
and conversation analysis (that study the codified language of a field of enquiry and the
statements; relations among language and structure and agency, in different social and
human sciences).
• It refers to written and spoken communications
• Words or terms linked together that say something about: Meaning (Ferrater, 1994)
• Semiotic: Set of signs (*) with different ways of significance and used with different aims
(Ferrater, 1994:917)
• Signs: an arbitrary or conventional mark or device that stands for a word, phrase, etc; symbols; gestures, etc.
• Ogden and Richards (1923):
• Symbolic discourses (referential)
• Emotive/ expressive discourses: feelings, attitudes…
• Morris
• Informative: Give information
• Valorative: Say opinions
• Provocative: Provoke actions
• Sistemic
7. Framework
The turn to micro-discourses
• Foucault, discourse is what is said, and it is framed and connected to
a paradigm in which world is organized
• discourse describes “an entity of sequences, of signs, in that they are
enouncements”. The term discursive formation conceptually describes the
regular communications (written and spoken) that produce such discourses
• There exist internal relations within a given discourse, and external
relations among discourses
• Discourse are not isolated, but in relation to other discourses
8. Framework
Type of micro-discourses included in Twitter
• Twitter: users send and read "tweets", which are text messages
limited to 140 characters
• Hashtags: users can group posts together by topic or type by the use
of hashtags – words or phrases prefixed with a “#” sign.
9. Context and Topic of Study
Crisis and anti-evictions social movements
• Economic crisis in Spain
• Topic: “desahucios/ evictions”, an important Spanish social
problematic today that has emerged with the economic crisis and
propelled an intense ‘anti-evictions social movement’, with the drive
of the PAH, the Platform of Mortgage Victims and other supports.
10. Context and Topic of Study
Some Success of the Anti-Evictions Social Movements in Spain
• Interest of this movement
• 1112 evictions stopped by the PAH (Platform of Mortgage Victims)
• Rehousing of 1106 people by PAH’s Social Work
• International Projection
• Deeds of Assignment in Payment (Daciones en pago)
• Deliver of the house in order to clear the outstanding debt (used to solve the
problem of unpaid mortgages in Spain with the crisis time). Alternative to the
foreclosure (the bank follow the law and sell the house in a public auction to earn
the debt.
• http://www.bankimia.com/dacion-en-pago
• Increasing of organization (PAH): Empowerment, formation and auto organization
of people
• Motions in Town Halls
11. Objectives
• To analize the use of the hashtag “SpanishRevolution” in a extracted
dataset of tweets concerning ‘desahucios’.
• To describe the main other hashtags included in the tweets in which
the hashtag “SpanishRevolution” was found.
• To discover the connections between this and other hashtags
included in the same tweets, looking for patterns in the micro
discourses produced by the hashtags.
• To determine the patterns and types of hashtags included in the
tweets, that is, are the hashtags alluding to slogans, places, people, or
to what?
#SpanishRevolutio
12. Methods
Data collection
Extraction of Big Data
• In particular we did a follow-up of all the tweets published in Twitter
from 10 April 2013 to 28 May 2013. During these dates it was
extracted all tweets that contained the chains or keywords
“desahucios”, “#stopdesahucios”, and the user “@stopdesahucios”.
The data extraction produced a dataset of 499,420 tweets.
• We selected the sub-sample of tweets containing the
“#SpanishRevolution” for the analysis, in order to answer our
objectives
13. • Pluralistic methodology concerning strategies and techniques of
research
• With the help of the Qualitative Software Atlas ti, we codified and
analyzed the micro-discourses contained in the tweets, explored co-
ocurrences of codes and, finally exported the work to Spss for testing
some hypothesis under a quantitative analysis, producing a
combination and triangulation between Qualitative and Quantitative
analysis .
Methods
Analysis
14. First exploration of data (Word cruncher)
Identification of significative # within the tweets
Coding of most used # in their ‘context units’ (Automatic coding)
(see example next slide)
Manually coding solving problems of mis-spealling or similars
Automatic coding in Atlas ti under one unique code, representing a
significative category for further analysis
Examples:
12M|12m|12deMayo|12m18h|12m2013/12M2013|12Mai|12-May|may-
12
Results
Qualitative analysis (Atlas ti): Codification and analysis of micro-discourses
contained in the tweets
15. Some final codes in Atlas ti and the original terms
in the tweets
• 15M = #15M|#15m*|#15M2013|#15m2013
• ESCRACHE = #Escrach*|#ESCRACH*|#escrach*|#SCRACHES*|#scratch*|#Escrche|#escraces|#Escratches| #escratx*|
#escrche|#*escrache*|#*Escrache*|#*ESCRACHE*|#*scrach*|#*Scrach*|#*SCRACH*|#ESCRACHE
• DESAHUCIOS= #desahucios|#Desahucios|#desahucio|#desaucios
• STOP DESAHUCIOS= #StopDesahuci*|#stopdesahuci*|#stodesa*|#StopDesahicios|#Stopdeshacuios|#StopDeshaucios|#StopDeshucios
• SPANISH REVOLUTION=
#SpanishRevolution|#spanishrevolut*|#spainrevolution|#span?shrevol*|#SpanishRevolution|#SpahishRevolution|#spanishrevolutiòn
• SIN_ILP_SENADO ACABADO= #SinILPsenadoAcabado|#SinILPSenadoAcabado|#SinILPsenadoAcabado*
• NO_LES_VOTES= #NoLesVotes|#Nolevotes
• SISEPUEDE= #SíSePu*|#SiSePuede|#sisep*|#SiSePot|#SiSePuede12M|#SISEPUEDO|#SíPodem|#sípodemos
• 12M= #12M|#12m|#12deMayo|#12m*|#12M*|#12Mai|#12-May|#may-12
• 25A= #25A|#25a|# 25-abr
• ESPAÑA= #Espagne|#EsPAHña|#Espana|#espanha|#espania|#Espanol|#espanya|#España|#España
• RajoyDimisión= #RajoyVeteYa|#Rajoydimision|#RajoyDimisión|#RajoyDimisiónYa|#RajoyDimissió
• PRIMAVERA VERDE=
#Primaeraverde|#PrimaveraCaliente|#PrimaveraVede|#PrimaveraVerde|#PrimaverVerde|#primaeraverde|#primavera|primaveraverde|
#PrimaveraVerde|#PRIMAVERAVERDE
• 12M15M= #12M15M|#12m15m|#
• MAREABLANCA= #mareablanca|#MareaBlanca21AbrilUNETE|#MareaBlancaRELOADED|#mareblanca|#Mareasblancas
16. Original database: 499,420 tweets
1,354 tweets including #SpanishRevolution, 22% of them are re-tweets (RT). Only 0.2%
were modified tweets (MT).
93.8% cite a URL within the tweet
Results
Basic description of the #SpanishRevolution: Global patterns
0,00
10,00
20,00
30,00
40,00
50,00
60,00
70,00
80,00
90,00
100,00
Re-tweets/ Total Modified tweets/
Total
Cite 0 URL within
the tweet/ Total
Cite 1 URL within
the tweet/ Total
Cite 2 or more
URLs within the
tweet/ Total
Basic description of #SpanishRevolution
0 5000 10000 15000 20000 25000 30000 35000 40000
ers: Mean of followers
Users: Mean of friends
sers: Mean of statuses
2584,83
1203,15
37860,54
Data of Users
19. - Importance of # in the SpanishRevolution dataset
- Networks of co-ocurrences in the discourse
- Network of Significative correlations among hashtags
- Tweet’s Authors
Results
Codes exported to Spss. Testing of hypothesis in Spss combination and
triangulation between Qualitative and Quantitative analysis .
20. Importance of hashtags in the #Spanish
Revolution dataset
0 10 20 30 40 50 60 70 80 90
15M
NOLESVOTES
VAEO
SANIDAD
MAREA_VERDE
12M
12M15M
25A
PAH
SÍSEPUEDE
DESAHUCIOS
ESCRACHE
STOP DESAHUCIOS
SIN_ILP_SENADOACABADO
ESPAÑA
INDIGNADOS_INDIGNACIÓN
MAREA_BLANCA
RAJOY_DIMISIÓN
ILP
PRIMAVERA_VERDE
REVOLUCIÓN
VIVIENDA_SOCIAL
Tags (#) by Frequency of co-ocurrence with
#SpanishRevolution
MAIN DISCOURSE PRODUCED BY
HASHTAGS LINKED TO
#SPANISHREVOLUTION
15M
NOLESVOTES
VAEO
SANIDAD
MAREAVERDE
12M – 12M15M
25A
PAH
SÍSEPUEDE
21. Network of co-occurences among #s within
the #SpanishRevolution discourse
cores.
ferent colors
CIRCLE = Actor
SQUARE = Slogan
UP TRIANGLE = Mobilization
dates
BOX = Topics
DOWN TRIANGLE = Places
22. Network of significative correlations among #
linked to the #SpanishRevolution discourse
Size of Node: Degree
23. Tweet’s Authors
244 different authors in 1,354 different tweets (One and a half month of follow
up)
Basic Pattern of Authorship:
1. Big centralization
2. Long tail
0
100
200
300
400
500
600
700
800
GustavoDalmasso
RubénDrughieri
25SMurcia
democraciarealmurcia
BrunoJordán
UnMundoSinDinero
Alvarian
AteneuRoig
Cristianh.S.
EstefaníaAlfonso
JavierMtzGarrido
LazarodeTormes
Nulladiessineline
PuppetMaster
SaldaaS75
VicenteCervantes
juanlumontes
nedaangelofiran
#occupybrussels
AmyCook
Bewegung30.09.
DavidPellissoNavas
GlobalRevolution
JasminBlessed
Kamchatka#1J
MiguelHerencia
PaulaColladosM
RAKELRIVERO
RocioRebazaJara
ScrappyBadger
VocesCríticas
alfonsodiez
ernstd
Centralization
Long tail
ors (more than 10
ts of total 1354)
Frequency Percentage
avo Dalmasso 700 51.7
lutions Info 151 11.1
OE 35 2.6
o Acevedo 23 1.7
aDuende 11 0.8
Who are they?
24. Results
Summarizing
• Results suggest that the hashtag ‘SpanishRevolution’ is thematically strongly
connected to other as, for instance, ‘15M’, ‘MareaVerde’, ‘NoLesVotes’, ‘Sanidad’,
‘Vaeo’ or StopDesahucios’, all of them representing alternate discourses to that of
the governing party in Spain, or specific sociopolitical battles at the time of the
big data extraction.
• At this time these hashtags suppose mentioning different type of phenomena, as
important collective actors (‘15M’), calls for actions or slogans as ‘NoLesVotes’ or
the metaphoric ‘MareaVerde’ symbolically representing the anti-evictions
movements with the ‘SiSePuede’ in green color in the streets.
• Also, other hashtags as ‘#Escrache’ was especially connected to #12m, #12m15m,
#15m, #NoLesVotes, #SíSePuede and #Vaeo also representing important
sociopolitical dimensions at the micro discourse level.
• Main discourse of hashtags addresed around the #SpanishRevolution is focused
on ‘15M’, ‘VAEO’, ‘Nolesvotes’, a clear political turn proposed surprisenly by one
to three actors.
25. Discussion
• In fact, through this analysis we that around a particular hashtag exist
a discursive construction if we observe connections between
hashtags that have been included in the same tweets.
• Provocative discourses claming for particular actions as ‘No les votes’,
• Call for action, critics, search for global social and political changes
also symbolic included under the ‘15M’ most cited hashtags in this
dataset.
26. Conclusions & Further Research
• Emergence of non-visible connections between # and strategies
behind (implications for opinion trends creation, advertisement,
policies, etc.)
• Discoursive trends in Twitter through conglomerates of #. Few words
to generate, defend, or sell complex ideas (anti-evictions philisophy,
mobilization, etc.)
• Few actors dominate the production of “micro-discourses”, hidden
leaderships in Twitter for normal users
• Technical applications to improve
27. Thanks a lot for your attention!
Muito obrigada pela sua atenção!
• Estrella Gualda (estrella@uhu.es)
• Juan D. Borrero (jdiego@uhu.es)
• José Carpio (jose.carpio@dti.uhu.es)
University of Huelva