This document discusses cross-platform profiling as a method for studying issues across multiple online spaces. It provides examples of profiling controversies and issues like Fukushima, the economic crisis, hashtags on climate change, and the WCIT conference. Profiling involves analyzing actor composition, key platforms, framing, and variation over time. It demonstrates profiling using tools like the Google scraper and TCAT associational profiler to map word frequencies, co-occurrence networks, and changing associations for issues on Google, Twitter and other platforms. The document raises questions about how media liveliness relates to issue liveliness and how profiling can capture social dynamics and platform specificities.
The workshop opens with a discussion of how to repurpose digital "methods of the medium" for social and cultural scholarly research, including its limitations, critiques and ethics. Subsequently participants are trained in using digital methods in hands-on sessions. How to use crawlers for dynamic URL sampling and issue network mapping? How to employ scrapers to create a bias or partisanship diagnostic instrument? We also consider how to deploy online platforms for social research. How to transform Wikipedia from an online encyclopaedia to a device for cross-cultural memory studies? How to make use of social media so as to profile the preferences and tastes of politicians’ friends, and also locate most engaged with content? How to make use of Twitter analytics to debanalize tweets, and provide compelling accounts of events on the ground? Finally, the workshop turns to the question of employing web data and metrics as societal indices more generally.
Understanding Public Sentiment: Conducting a Related-Tags Content Network Ext...Shalin Hai-Jew
This presentation focuses on how to understand public sentiment through a related-tags content network analysis of public Flickr photos and videos. NodeXL is used to conduct data extractions and visualizations of user-tagged Flickr contents and the resulting “noisy” folksonomies. What mental connections may be made about particular issues based on analysis of text-annotated graphs?
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
The workshop opens with a discussion of how to repurpose digital "methods of the medium" for social and cultural scholarly research, including its limitations, critiques and ethics. Subsequently participants are trained in using digital methods in hands-on sessions. How to use crawlers for dynamic URL sampling and issue network mapping? How to employ scrapers to create a bias or partisanship diagnostic instrument? We also consider how to deploy online platforms for social research. How to transform Wikipedia from an online encyclopaedia to a device for cross-cultural memory studies? How to make use of social media so as to profile the preferences and tastes of politicians’ friends, and also locate most engaged with content? How to make use of Twitter analytics to debanalize tweets, and provide compelling accounts of events on the ground? Finally, the workshop turns to the question of employing web data and metrics as societal indices more generally.
Understanding Public Sentiment: Conducting a Related-Tags Content Network Ext...Shalin Hai-Jew
This presentation focuses on how to understand public sentiment through a related-tags content network analysis of public Flickr photos and videos. NodeXL is used to conduct data extractions and visualizations of user-tagged Flickr contents and the resulting “noisy” folksonomies. What mental connections may be made about particular issues based on analysis of text-annotated graphs?
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
GitHub as Transparency Device in Data Journalism, Open Data and Data ActivismLiliana Bounegru
Slides from presentation of research agenda around uses of GitHub in journalism at the Digital Methods Summer School 2015. More details here: http://lilianabounegru.org/2015/07/08/github-as-transparency-device-in-data-journalism-open-data-and-data-activism/
Abstract:
Social media data is a rich source of behavioural data that can reveal how we connect and interact with each other online in real-time and over time, and what that might mean for our society as we continue to speed towards an increasingly computer-mediated future. And as more and more Canadians are joining and contributing to various social media websites, their automatically recorded data are rapidly becoming available to third parties to mine for both commercial and academic purposes. As a result, questions around why and how data consumers’ use social media data are becoming pertinent. This talk will review different approaches to Social Media Data Stewardship (the collection, storage, use, reuse, analysis, and preservation of social media data) and discuss some ethical implications of working with such data.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
Cottbus Brandenburg University of Technology Lecture series on Smart RegionsCritically Assembling Data, Processes & Things: Toward and Open Smart CityJune 5, 2018
This lecture will critically focus on smart cities from a data based socio-technological assemblage approach. It is a theoretical and methodological framework that allows for an empirical examination of how smart cities are socially and technically constructed, and to study them as discursive regimes and as a large technological infrastructural systems.
The lecture will refer to the research outcomes of the ERC funded Programmable City Project led by Rob Kitchin at Maynooth University and will feature examples of empirical research conducted in Dublin and other Irish cities.
In addition, the lecture will discuss the research outcomes of the Canadian Open Smart Cities project funded by the Government of Canada GeoConnections Program. Examples will be drawn from five case studies namely about the cities of Edmonton, Guelph, Ottawa and Montreal, and the Ontario Smart Grid as well as number of international best practices. The recent Infrastructure Canada Canadian Smart City Challenge and the controversial Sidewalk Lab Waterfront Toronto project will also be discussed.
It will be argued that no two smart cities are alike although the technological solutionist and networked urbanist approaches dominate and it is suggested that these kind of smart cities may not live up to the promise of being better places to live.
In this lecture, the ideals of an Open Smart City are offered instead and in this kind of city residents, civil society, academics, and the private sector collaborate with public officials to mobilize data and technologies when warranted in an ethical, accountable and transparent way in order to govern the city as a fair, viable and livable commons that balances economic development, social progress and environmental responsibility. Although an Open Smart City does not yet exist, it will be argued that it is possible.
Doing Digital Methods: Some Recent Highlights from Winter and Summer SchoolsLiliana Bounegru
Talk given at the Digital Methods Winter School 2017 at the University of Amsterdam. It presents a selection of projects developed at the 2016 Digital Methods Winter and Summer Schools (www.digitalmethods.net).
Introduction MA Data, Culture and Society | University of Westminster, UKslejay
Datafication, the transformation of our everyday lives into digital data, poses great risks and opportunities for contemporary societies. This new MA course addresses, explores and researches this transformation. Industries increasingly rely on big data and dataficiation. Students therefore need analytical and practical skills to work with data in various sectors. The interdisciplinary course combines hands-on and applied approaches with theoretical learning. It encourages collaboration, group work and problem-based learning. Students will learn about analytical approaches to big data, algorithms, the Internet of Things, artificial intelligence, blockchain and other cutting-edge technologies. We will discuss and explore what the implications of such technologies for identities, politics, the economy and societies are.
Students will also be introduced to practical skills when it comes to the use, analysis and visualisation of data (such as data/text mining, social network analysis, digital discourse analysis, digital ethnography, sentiment analysis, geospatial analysis). Graduates from this programme will be fully capable and confident to combine these skills during their careers. Students who complete the MA Data, Culture and Society can work in a wide variety of sectors connected to data and the media and creative industries.
More information:
https://www.westminster.ac.uk/computer-science-and-software-engineering-journalism-and-mass-communication-courses/2019-20/september/full-time/data-culture-and-society-ma
Mapping Issues with the Web: An Introduction to Digital MethodsJonathan Gray
Slides from talk on "Mapping Issues with the Web: An Introduction to Digital Methods" at Tow Center for Digital Journalism, Columbia University, 23rd September 2014. Further details at: http://jonathangray.org/2014/09/10/mapping-issues-with-web-columbia/
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
GitHub as Transparency Device in Data Journalism, Open Data and Data ActivismLiliana Bounegru
Slides from presentation of research agenda around uses of GitHub in journalism at the Digital Methods Summer School 2015. More details here: http://lilianabounegru.org/2015/07/08/github-as-transparency-device-in-data-journalism-open-data-and-data-activism/
Abstract:
Social media data is a rich source of behavioural data that can reveal how we connect and interact with each other online in real-time and over time, and what that might mean for our society as we continue to speed towards an increasingly computer-mediated future. And as more and more Canadians are joining and contributing to various social media websites, their automatically recorded data are rapidly becoming available to third parties to mine for both commercial and academic purposes. As a result, questions around why and how data consumers’ use social media data are becoming pertinent. This talk will review different approaches to Social Media Data Stewardship (the collection, storage, use, reuse, analysis, and preservation of social media data) and discuss some ethical implications of working with such data.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
Cottbus Brandenburg University of Technology Lecture series on Smart RegionsCritically Assembling Data, Processes & Things: Toward and Open Smart CityJune 5, 2018
This lecture will critically focus on smart cities from a data based socio-technological assemblage approach. It is a theoretical and methodological framework that allows for an empirical examination of how smart cities are socially and technically constructed, and to study them as discursive regimes and as a large technological infrastructural systems.
The lecture will refer to the research outcomes of the ERC funded Programmable City Project led by Rob Kitchin at Maynooth University and will feature examples of empirical research conducted in Dublin and other Irish cities.
In addition, the lecture will discuss the research outcomes of the Canadian Open Smart Cities project funded by the Government of Canada GeoConnections Program. Examples will be drawn from five case studies namely about the cities of Edmonton, Guelph, Ottawa and Montreal, and the Ontario Smart Grid as well as number of international best practices. The recent Infrastructure Canada Canadian Smart City Challenge and the controversial Sidewalk Lab Waterfront Toronto project will also be discussed.
It will be argued that no two smart cities are alike although the technological solutionist and networked urbanist approaches dominate and it is suggested that these kind of smart cities may not live up to the promise of being better places to live.
In this lecture, the ideals of an Open Smart City are offered instead and in this kind of city residents, civil society, academics, and the private sector collaborate with public officials to mobilize data and technologies when warranted in an ethical, accountable and transparent way in order to govern the city as a fair, viable and livable commons that balances economic development, social progress and environmental responsibility. Although an Open Smart City does not yet exist, it will be argued that it is possible.
Doing Digital Methods: Some Recent Highlights from Winter and Summer SchoolsLiliana Bounegru
Talk given at the Digital Methods Winter School 2017 at the University of Amsterdam. It presents a selection of projects developed at the 2016 Digital Methods Winter and Summer Schools (www.digitalmethods.net).
Introduction MA Data, Culture and Society | University of Westminster, UKslejay
Datafication, the transformation of our everyday lives into digital data, poses great risks and opportunities for contemporary societies. This new MA course addresses, explores and researches this transformation. Industries increasingly rely on big data and dataficiation. Students therefore need analytical and practical skills to work with data in various sectors. The interdisciplinary course combines hands-on and applied approaches with theoretical learning. It encourages collaboration, group work and problem-based learning. Students will learn about analytical approaches to big data, algorithms, the Internet of Things, artificial intelligence, blockchain and other cutting-edge technologies. We will discuss and explore what the implications of such technologies for identities, politics, the economy and societies are.
Students will also be introduced to practical skills when it comes to the use, analysis and visualisation of data (such as data/text mining, social network analysis, digital discourse analysis, digital ethnography, sentiment analysis, geospatial analysis). Graduates from this programme will be fully capable and confident to combine these skills during their careers. Students who complete the MA Data, Culture and Society can work in a wide variety of sectors connected to data and the media and creative industries.
More information:
https://www.westminster.ac.uk/computer-science-and-software-engineering-journalism-and-mass-communication-courses/2019-20/september/full-time/data-culture-and-society-ma
Mapping Issues with the Web: An Introduction to Digital MethodsJonathan Gray
Slides from talk on "Mapping Issues with the Web: An Introduction to Digital Methods" at Tow Center for Digital Journalism, Columbia University, 23rd September 2014. Further details at: http://jonathangray.org/2014/09/10/mapping-issues-with-web-columbia/
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Digital Methods Initiative
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of Engagement Online. Opening Lecture, Digital Methods Winter School, 11 January 2916
Visualising activity in learning networks using open data and educational ...Michael Paskevicius
Delivered October13, 2011 in Cape Town South Africa at the 2011 Southern African Association for Institutional Research forum
Abstract
As more student academic activities involve both institutional and social networks, educational analysts are needing to investigate ways in which this data can be collected and interpreted to enhance learning experiences. Data recorded as students explore personal learning environments is most often not accessible or incomplete. Here we explore some of the approaches that exist to use these social networking platforms along with information from the learning management system and academic records. Combining and analysing this data has allowed us to create a number of interesting visualizations exposing patterns which would have been impossible to glean from looking at the data alone. In an age of data abundance we reflect on using some of these new measures in relation to improving learning design, increasing academic responsiveness and enhanced student experiences.
Twitter in Academic Conferences:Usage, Networking and Participation over Time
ACM Conference on Hypertext and Social Media 2014
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http://dl.acm.org/citation.cfm?doid=2631775.2631826
http://dx.doi.org/10.1145/2631775.2631826
----
Xidao Wen, University of Pittsburgh
Yu-Ru Lin, University of Pittsburgh
Christoph Trattner, Know-Center
Denis Parra, Pontificia Universidad Católica de Chile
Lecture 5: Mining, Analysis and VisualisationMarieke van Erp
This is the fourth lecture in the Social Web course at the VU University Amsterdam
Visit the website for more information: <a>Social Web 2012</a>
#mytweet via Instagram: Exploring User Behaviour Across Multiple Social NetworksBang Hui Lim
We study how users of multiple online social net- works (OSNs) employ and share information by studying a common user pool that use six OSNs – Flickr, Google+, Instagram, Tumblr, Twitter, and YouTube. We analyze the temporal and topical signature of users’ sharing behaviour, showing how they exhibit distinct behaviorial patterns on different networks. We also examine cross-sharing (i.e., the act of user broadcasting their activity to multiple OSNs near-simultaneously), a previously unstudied behaviour and demonstrate how certain OSNs play the roles of originating source and destination sinks.
Similar to Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013 (20)
The question of what constitutes a keyword is the starting point for query design for that is what makes querying and query design practically a part of a research strategy. When formulating a query, one often begins with keywords so as to ascertain who is using them, in which contexts and with which spread or distribution over time. In the following a particular keyword query strategy or design is put forward, whereby one queries competing keywords, asking whether a particular term is winning favour and amongst whom.
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. What is profiling?
• Specific approach in issue mapping.
• Issue mapping as the study of topical affairs.
• Cross-platform profiling studies issues and their
variation across multiple online spaces.
• In which platforms do issues occur?
• What actor composition?
• What thematic framing?
• Pace, rhythm, variation over time.
3. Profiling & Issue Mapping
• Studying topical affairs.
• Issue mapping, or controversy analysis, has been
developed as a research method in the field of
Science, Technology and Society (STS). (Callon,
1986; Barry, 2001; Latour, 2007)
• Empirical, processual approach.
• Asks: Is this topic an issue? Who are the actors?
Where is it based? Where is the issue happening?
How does it change?
4. Issue Profiling Online
• Digitization offers opportunities for
issue/controversy analysis (Rogers &
Marres 2000, Latour et. al 2007,
2010; Yaneva 2007):
• Explosion of digital traces and
analytical devices deploying
traceability.
• A special focus on taking advantage of
medium-specificity for profiling.
5. Profiling & specificity
• Interested in the specific articulation of issues
within and across different platforms.
• What are the specific forms of participation per
platform?
• Starting point: medium- and platform specifity.
• Deploy the pre-structured character of platforms
for analytical purposes (Marres & Weltevrede
2012).
• Media vs. issue dynamics.
6. Taking grammars of action into
account
• Which grammars of action/data entities (Agre
1994) are relevant for profiling?
• Google: Search results, hosts, titles.
• Twitter: Queries, hashtags, users, mentions.
• Facebook: Groups, Pages, Likes, Posts, user
relations.
• Flickr: Pictures, tags, groups.
• Wikipedia: Articles, related articles, edits, users…
Standardised activities & data forms cater to a
multiplicity of use practices.
7. Profiling
1. Actor composition.
2. Key platforms.
3. Bias and leaning.
4. Issue framing.
5. Variation over time.
6. Media effects.
7. Social dyanmics.
9. Case 1 Cross-platform
profiling of Fukushima
• How is the issue of the Fukushima
nuclear disaster discussed in the web,
blog and news sphere?
• Word frequency analysis of Google
results.
• Do comments offer a different framing
of the issue?
1. Query Fukushima ~nuclear
2. Take top 25 URLs from Google Web,
Google Blogs, Google News
3. Copy paste content from URLs
4. Create a tagcloud
10. • Scraping as systematic extraction
of pre-formated data.
Google Scraper
14. • Insights: different framing per sphere,
which sub-issues are trending right now.
• Q1 What about variation over time?
• Q2 Are there other measures beyond
word frequency?
15. Case 2 Variation over time
• Currency (liveness): Which aspects of
issues are peaking/trending at the
moment?
• Currency: word frequency analysis
• Variation over time (liveliness): changes
in association & framing of issues?
• Variation: Co-occurrence & co-word
analysis.
• Network analysis of textual data: tracing
relations between terms based on ‘co-
occurrence’ (Callon et al. 1983,
Danowski 2009).
16. Case 2 Profiling Crisis
• Interest in topical framing of crisis/austerity
across platforms (Marres & Weltevrede
2012).
• Mapping the liveness (currency) vs. liveliness
(variation over time) of “crisis” in Google and
Twitter.
• Early 2012.
• Google: Take search result titles into account.
• Twitter: Take hashtags into account.
22. Case 3 Profiling Hashtags
• Intra-platform profiling of hashtags.
• Starting point: Hashtags as specific grammar
of action to demarcate conversations.
• How can we further profile hashtags and give
account to their liveliness?
• Case: Twitter data on Climate Change.
• Period: 01.02. - 15.06.2012, 204795 tweets.
26. Case 4: Associational
Profiling
• Using co-word to detect
associational profiles:
• Which words co-occur with a
given issue term on Twitter
across intervals?
• Stable or fluctuating
associations?
31. Profiling WCIT
• WCIT conference in Dubai, 3-14
Dec 2012 organised by the ITU.
• Interval: 23.11 – 19.12.
• 108781 Tweets.
• Before data capture: Collection of
NGO and issue expert hashtags.
• Question: How does the issue vary
over time and whose terms are
being taken up or not?
40. Emergent questions
• How does media liveliness map
into issue liveliness? How is
variation defined by grammars of
action?
• Media-liveliness: bursty hashtags,
hashtag decline.
• Can we perceive medium- and
issue-specificity as a spectrum?
• Further research: How can we
profile social dynamics?
• What makes an issue more or less
social?
42. Profiling Prism
• Go to DMI TCAT tool.
• Select “prism” dataset.
• Adjust the time interval to one
day.
• Open Associational Profile in
Experimental Analytics.
• Create profile for term
“prism” or “spying”.
• Interval: Weekly.
• Exclude: prism, snowden.
• Which words to stand out?
Create further profiles for
detailed analysis.
44. • What do we see or not in associational profiles?
• How to profile prism in other platforms?
• How to create a social profile, focused on the
social dynamics of the specific platforms?
Questions