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Election Debate Visualisation Project 
edv-project.net
Simon Buckingham Shum 
Professor 
Learning Informatics 
Anna De Liddo 
Research Associate 
Collective Intelligence 
Paul Wilson 
Lecturer 
Design 
Brian Plüss 
Research Associate 
Debate Analytics 
Giles Moss 
Lecturer 
Media Policy 
Stephen Coleman 
Professor 
Political Communication
Leeds & OU research 
on the 2010 Election Debates
Univ. Leeds prior research into 
public response to the 
televised 2010 Election 
Debates
Impact of the 3 debates on 
voter intentions
Key findings… 
• the British public appreciated the debates 
• 2/3 said they’d learnt something new 
• they seemed to energise first-time voters 
• people would talk about them afterwards 
(esp. younger voters) 
• media coverage shifted from focusing on 
the ‘game’ to the substance
Mapping the UK election TV debates at the OU 
http://people.kmi.open.ac.uk/sbs/2010/04/ 
debate-replay-with-map
The EDV Project 
2013-2016
Main project objectives 
1. Political Communication Research: 
understand how election debates 
connect with and may enable 
democratic citizenship 
2. Computing/Informatics/Design 
Research: develop an election debate 
replay web platform that will provide 
new ways for citizens to experience 
and evaluate election debates 
edv-project.net
Qualitative research: citizens’ 
perceptions of election 
debates 
12 focus groups conducted at Leeds: 
• Disengaged Voters 
• Committed Party Supporters 
• Undecided Voters 
• First-time Voters 
• Active Users of the Internet 
• (Performers) 
Male/Female; 8~10 people per group
Democratic capabilities & 
entitlements 
1. Be respected as a rational and independent 
decision-maker 
2. Be able to evaluate political claims and 
make an informed decision 
3. Feel part of the debate as a democratic 
cultural event 
4. Be able to communicate with and be 
recognized by the leaders who want to 
represent me 
5. Be able to make a difference to what 
happens in the political world
New Modes of Engagement with 
Televised Political Debate through 
Audience Feedback
Setting the Problem 
The way people engage with televised 
political debates today is progressively 
shifting form “passive” viewing of a 
television programme, to “active” 
participation to a multiple media event
The past….
The present… 
The past….
The present… 
The past…. 
?The Future?
Research Questions: 
• Is this new “participation experience” really informative? And to 
what extent does it improve citizens’ confidence about the issues 
discussed? 
• Do social media voices truly capture the richness of citizens’ 
reactions to political debates? 
• What could we learn about the audience of political election 
debate, and about the debate as media event, if we had better 
analytical tools to scrutinize audience’s understanding and 
reactions?
Collective Intelligence cycle 
2 
Social Media 
& Ubiquitous 
Computing 
and Audience 
Feedback 
1 
3 
4 
5 
2 
Data Aggregation 
Annotation and 
structuring 
Analytics 
Identifying 
interesting 
Patterns 
Augmented 
Media and 
Visualizations 
Communities
Harnessing Audience Reactions 
‘Soft’ Feedback: 
• Controlled and nuanced 
• Voluntary and non-intrusive 
• Enabling analytics and 
visualisations
Audience Feedback Objectives 
• promoting active engagement by enabling the audience to 
react to the televised debates in new non-intrusive, yet 
expressive, and timely manner; 
• harnessing and analysing viewers’ reactions to better 
understand the audience and their debate experience; 
• providing new metrics to assess the debate as media event 
in terms of its capability to engage the audience aesthetically, 
emotionally, intellectually and critically.
A paper prototype: the flashcard experiment 
• 18 flashcards in 3 categories 
• Emotion 
• Trust 
• Information need 
• 15 participants watched the 
second Clegg-Farage debate live 
• Video annotations in Compendium 
(and YouTube!)
Trust Cards 
designed to provide insights on the main motivations for audience’s 
trust/distrust. 
….with the goal in mind to 
distinguish between trust on the speaker, the debate content, and pre-existing 
beliefs.
Emotion Cards 
Designed to provide insights on audience’s emotional reactions to the debate 
and can be used as proxy to assess people engagement with the speakers and 
the debated topics.
Questions Cards 
Designed to provide insights on audience’s information needs. 
..to inform the type of information analysis and visualizations to be implemented 
in the EDV replay platform, in order to make the audience viewing experience 
more informative.
A paper prototype: the flashcard experiment
Coding and Annotation of the Video 
- Quantitative analysis 
- Frequently used/unused cards 
- Most used categories 
- Do the dimensions make sense?
Clegg’s VS 
Farage’s 
Reactions triggers
Explore in 
details one 
of the 
speakers 
perceived 
performance
Explore in 
details one 
of the 
speakers 
perceived 
performance
Farage: “…actually sixty-two percent of the people that were surveyed in that British car 
manufacture interview they want serious reform within the European Union if they're gonna stay as 
members. So, far from the top line being true, two-thirds of them are saying unless we get 
reform then the time has come to leave the EU.” 
Farage: “You can't do that. You haven't got 
this power. You haven't got this control.” 
Clegg: “Yes, you do. Yes, you do.” 
Is this TRUE? 
Where can I find more 
info on this? 
Farage: “We do not have that power as 
members of the European Union and that's 
the truth of it.” 
Clegg: “Yes, you do. Yes.” 
Who to TRUST?
Who are the outliers?
Self- Reflection: How do I differ/comply with the 
GROUP? 
Me VS the Group
Self- Reflection: How do I differ/comply with the 
GROUP?
Twitter sentiment analysis
Google searches sparked by the debates
2010 BBC replay site 
• Second debate 
http://news.bbc.co.uk/1/hi/uk_politics/ 
election_2010/8635098.stm 
• Final debate: 
http://news.bbc.co.uk/1/hi/uk_politics/ 
election_2010/8652884.stm
Soft Feedback Mobile App
Next Steps 
• Enabling soft feedback during the live 
broadcasting of the political debate 
• Design flashcards for the democratic 
entitlements identified 
• Replicate the soft feedback gathering 
experiment with flashcards in a virtual 
distributed setting by using the mobile 
and face-to-face
Next Steps 
• Guidelines will be provided on how to 
use soft feedback, flashcard methods 
and tools, to harness audience 
reactions to political debates in 
different contexts, and with different 
audience’s size.
Democratic capabilities & 
entitlements 
1. Be respected as a rational and independent 
decision-maker 
2. Be able to evaluate political claims and 
make an informed decision 
3. Feel part of the debate as a democratic 
cultural event 
4. Be able to communicate with and be 
recognized by the leaders who want to 
represent me 
5. Be able to make a difference to what 
happens in the political world
The debate-viewing 
experience today
The Clegg-Farage 2014 debates on UK-EU relations 
LBC Radio, 26 March BBC, 2 April
The Clegg-Farage 2014 debates on UK-EU 
relations
The Clegg-Farage 2014 debates on UK-EU 
relations
The Clegg-Farage 2014 debates on UK-EU 
relations
The Clegg-Farage 2014 debates on UK-EU 
relations
The Clegg-Farage 2014 debates on UK-EU 
relations
The Clegg-Farage 2014 debates on UK-EU 
relations
BBC Live site
BBC Replay site
2010 BBC replay site 
• Second debate 
http://news.bbc.co.uk/1/hi/uk_politics/ 
election_2010/8635098.stm 
• Final debate: 
http://news.bbc.co.uk/1/hi/uk_politics/ 
election_2010/8652884.stm
The Future of 
Election Debate Replays
Computing & Informatics research objectives 
• Debate Analytics and Visualizations 
• Feedback Channels 
• Debate Replay Platform 
• Open Source Tools and Open Data Archive
Debate Analytics and 
Visualisations 
• Argument Maps 
• Rhetoric and Rules of the Game 
Collaborations might make possible: 
• Social Media Analytics 
• Fact-Checking
Argument Mapping and 
Visualisation 
http://compendiuminstitute.net
Argument Maps 
• First 15 minutes of second Clegg-Farage debate 
• Claims being made and by whom 
• Support/challenge connections 
• Time of contributions is less influential 
• Is this the best way to show it to end-users?
Argument Maps
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
• Rules of the game in terms of discourse obligations 
• Coding scheme for manual annotation of transcripts 
• Method for classifying annotated speaker 
contributions wrt the rules of the game
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
• Rules of the game in terms of discourse obligations 
• Coding scheme for manual annotation of transcripts 
• Method for classifying annotated speaker 
contributions wrt the rules of the game
Dialogue Act 
Initiating Responsive 
Init-Inform Init-InfoReq Resp-Inform Resp-Accept Resp-Reject 
On-Topic Off-Topic 
Objective Subjective 
Accurate Inaccurate 
New Repeated 
On-Topic Off-Topic 
Neutral Loaded 
Reasonable Unreasonable 
New Repeated 
Relevant Irrelevant 
Objective Subjective 
Accurate Inaccurate 
New Repeated 
Complete Incomplete 
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
• Rules of the game in terms of discourse obligations 
• Coding scheme for manual annotation of transcripts 
• Method for classifying annotated speaker 
contributions wrt the rules of the game
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
Annotation Tool
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
• Rules of the game in terms of discourse obligations 
• Coding scheme for manual annotation of transcripts 
• Method for classifying annotated speaker 
contributions wrt the rules of the game
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue) 
Output of the 
method
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Rhetoric and Rules of the Game 
(Non-Cooperation in Dialogue)
Social Media Analytics
Fact-checking 
Full Fact (@FullFact) 
Independent fact checking organisation 
• https://fullfact.org/ 
• Knowledge base 
• Live fact-checking 
• …
Debate Replay Platform 
• Uniformly organise diverse sources 
of information 
• Support user preferences in terms 
of: 
• Visualisation channels 
• Media navigation and indexing 
• Allow for different kinds of audience 
response
Arguments Fact checking 
Generation of: 
- Web content 
- Analytics 
- Open data 
- ... 
Repository 
Replay Website 
GO! 
Argument Mapping 
Open 
Data 
Video Transcripts 
Twitter 
Feeds 
Soft 
Feedback 
System 
Rhetoric and 
Rules Checking 
Debate 
Rules 
Non-Cooperation Topics 
Open Data 
Sentiment 
Analysis 
Party 
Manifestos 
Topic Analysis 
Soft Feedback 
Analysis 
Fact-Checking 
Soft Feedback 
EDV Architecture Sketch 
Features and functionalities: 
• Gather data from sources 
• Analyse data and produce visualisations 
• Tailor augmentations to audiences and purposes 
• Publish open data and replay interface 
• Provide access to citizens and give them a ‘voice’
Thanks for your time! 
Brian Plüss 
Anna De Liddo 
Simon Buckingham Shum 
Knowledge Media Institute 
The Open University, UK 
http://edv-project.net/

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Election Debate Visualisation Project - PCRG Talk

  • 1. Election Debate Visualisation Project edv-project.net
  • 2. Simon Buckingham Shum Professor Learning Informatics Anna De Liddo Research Associate Collective Intelligence Paul Wilson Lecturer Design Brian Plüss Research Associate Debate Analytics Giles Moss Lecturer Media Policy Stephen Coleman Professor Political Communication
  • 3. Leeds & OU research on the 2010 Election Debates
  • 4. Univ. Leeds prior research into public response to the televised 2010 Election Debates
  • 5. Impact of the 3 debates on voter intentions
  • 6. Key findings… • the British public appreciated the debates • 2/3 said they’d learnt something new • they seemed to energise first-time voters • people would talk about them afterwards (esp. younger voters) • media coverage shifted from focusing on the ‘game’ to the substance
  • 7. Mapping the UK election TV debates at the OU http://people.kmi.open.ac.uk/sbs/2010/04/ debate-replay-with-map
  • 8. The EDV Project 2013-2016
  • 9. Main project objectives 1. Political Communication Research: understand how election debates connect with and may enable democratic citizenship 2. Computing/Informatics/Design Research: develop an election debate replay web platform that will provide new ways for citizens to experience and evaluate election debates edv-project.net
  • 10. Qualitative research: citizens’ perceptions of election debates 12 focus groups conducted at Leeds: • Disengaged Voters • Committed Party Supporters • Undecided Voters • First-time Voters • Active Users of the Internet • (Performers) Male/Female; 8~10 people per group
  • 11. Democratic capabilities & entitlements 1. Be respected as a rational and independent decision-maker 2. Be able to evaluate political claims and make an informed decision 3. Feel part of the debate as a democratic cultural event 4. Be able to communicate with and be recognized by the leaders who want to represent me 5. Be able to make a difference to what happens in the political world
  • 12. New Modes of Engagement with Televised Political Debate through Audience Feedback
  • 13. Setting the Problem The way people engage with televised political debates today is progressively shifting form “passive” viewing of a television programme, to “active” participation to a multiple media event
  • 15. The present… The past….
  • 16. The present… The past…. ?The Future?
  • 17. Research Questions: • Is this new “participation experience” really informative? And to what extent does it improve citizens’ confidence about the issues discussed? • Do social media voices truly capture the richness of citizens’ reactions to political debates? • What could we learn about the audience of political election debate, and about the debate as media event, if we had better analytical tools to scrutinize audience’s understanding and reactions?
  • 18. Collective Intelligence cycle 2 Social Media & Ubiquitous Computing and Audience Feedback 1 3 4 5 2 Data Aggregation Annotation and structuring Analytics Identifying interesting Patterns Augmented Media and Visualizations Communities
  • 19. Harnessing Audience Reactions ‘Soft’ Feedback: • Controlled and nuanced • Voluntary and non-intrusive • Enabling analytics and visualisations
  • 20. Audience Feedback Objectives • promoting active engagement by enabling the audience to react to the televised debates in new non-intrusive, yet expressive, and timely manner; • harnessing and analysing viewers’ reactions to better understand the audience and their debate experience; • providing new metrics to assess the debate as media event in terms of its capability to engage the audience aesthetically, emotionally, intellectually and critically.
  • 21. A paper prototype: the flashcard experiment • 18 flashcards in 3 categories • Emotion • Trust • Information need • 15 participants watched the second Clegg-Farage debate live • Video annotations in Compendium (and YouTube!)
  • 22. Trust Cards designed to provide insights on the main motivations for audience’s trust/distrust. ….with the goal in mind to distinguish between trust on the speaker, the debate content, and pre-existing beliefs.
  • 23. Emotion Cards Designed to provide insights on audience’s emotional reactions to the debate and can be used as proxy to assess people engagement with the speakers and the debated topics.
  • 24. Questions Cards Designed to provide insights on audience’s information needs. ..to inform the type of information analysis and visualizations to be implemented in the EDV replay platform, in order to make the audience viewing experience more informative.
  • 25. A paper prototype: the flashcard experiment
  • 26. Coding and Annotation of the Video - Quantitative analysis - Frequently used/unused cards - Most used categories - Do the dimensions make sense?
  • 27. Clegg’s VS Farage’s Reactions triggers
  • 28.
  • 29.
  • 30.
  • 31. Explore in details one of the speakers perceived performance
  • 32. Explore in details one of the speakers perceived performance
  • 33. Farage: “…actually sixty-two percent of the people that were surveyed in that British car manufacture interview they want serious reform within the European Union if they're gonna stay as members. So, far from the top line being true, two-thirds of them are saying unless we get reform then the time has come to leave the EU.” Farage: “You can't do that. You haven't got this power. You haven't got this control.” Clegg: “Yes, you do. Yes, you do.” Is this TRUE? Where can I find more info on this? Farage: “We do not have that power as members of the European Union and that's the truth of it.” Clegg: “Yes, you do. Yes.” Who to TRUST?
  • 34. Who are the outliers?
  • 35. Self- Reflection: How do I differ/comply with the GROUP? Me VS the Group
  • 36. Self- Reflection: How do I differ/comply with the GROUP?
  • 38. Google searches sparked by the debates
  • 39. 2010 BBC replay site • Second debate http://news.bbc.co.uk/1/hi/uk_politics/ election_2010/8635098.stm • Final debate: http://news.bbc.co.uk/1/hi/uk_politics/ election_2010/8652884.stm
  • 41. Next Steps • Enabling soft feedback during the live broadcasting of the political debate • Design flashcards for the democratic entitlements identified • Replicate the soft feedback gathering experiment with flashcards in a virtual distributed setting by using the mobile and face-to-face
  • 42. Next Steps • Guidelines will be provided on how to use soft feedback, flashcard methods and tools, to harness audience reactions to political debates in different contexts, and with different audience’s size.
  • 43. Democratic capabilities & entitlements 1. Be respected as a rational and independent decision-maker 2. Be able to evaluate political claims and make an informed decision 3. Feel part of the debate as a democratic cultural event 4. Be able to communicate with and be recognized by the leaders who want to represent me 5. Be able to make a difference to what happens in the political world
  • 45. The Clegg-Farage 2014 debates on UK-EU relations LBC Radio, 26 March BBC, 2 April
  • 46. The Clegg-Farage 2014 debates on UK-EU relations
  • 47. The Clegg-Farage 2014 debates on UK-EU relations
  • 48. The Clegg-Farage 2014 debates on UK-EU relations
  • 49. The Clegg-Farage 2014 debates on UK-EU relations
  • 50. The Clegg-Farage 2014 debates on UK-EU relations
  • 51. The Clegg-Farage 2014 debates on UK-EU relations
  • 54. 2010 BBC replay site • Second debate http://news.bbc.co.uk/1/hi/uk_politics/ election_2010/8635098.stm • Final debate: http://news.bbc.co.uk/1/hi/uk_politics/ election_2010/8652884.stm
  • 55. The Future of Election Debate Replays
  • 56. Computing & Informatics research objectives • Debate Analytics and Visualizations • Feedback Channels • Debate Replay Platform • Open Source Tools and Open Data Archive
  • 57. Debate Analytics and Visualisations • Argument Maps • Rhetoric and Rules of the Game Collaborations might make possible: • Social Media Analytics • Fact-Checking
  • 58. Argument Mapping and Visualisation http://compendiuminstitute.net
  • 59. Argument Maps • First 15 minutes of second Clegg-Farage debate • Claims being made and by whom • Support/challenge connections • Time of contributions is less influential • Is this the best way to show it to end-users?
  • 61. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 62. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 63. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) • Rules of the game in terms of discourse obligations • Coding scheme for manual annotation of transcripts • Method for classifying annotated speaker contributions wrt the rules of the game
  • 64. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) • Rules of the game in terms of discourse obligations • Coding scheme for manual annotation of transcripts • Method for classifying annotated speaker contributions wrt the rules of the game
  • 65. Dialogue Act Initiating Responsive Init-Inform Init-InfoReq Resp-Inform Resp-Accept Resp-Reject On-Topic Off-Topic Objective Subjective Accurate Inaccurate New Repeated On-Topic Off-Topic Neutral Loaded Reasonable Unreasonable New Repeated Relevant Irrelevant Objective Subjective Accurate Inaccurate New Repeated Complete Incomplete Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) • Rules of the game in terms of discourse obligations • Coding scheme for manual annotation of transcripts • Method for classifying annotated speaker contributions wrt the rules of the game
  • 66. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) Annotation Tool
  • 67. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) • Rules of the game in terms of discourse obligations • Coding scheme for manual annotation of transcripts • Method for classifying annotated speaker contributions wrt the rules of the game
  • 68. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue) Output of the method
  • 69. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 70. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 71. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 72. Rhetoric and Rules of the Game (Non-Cooperation in Dialogue)
  • 74. Fact-checking Full Fact (@FullFact) Independent fact checking organisation • https://fullfact.org/ • Knowledge base • Live fact-checking • …
  • 75. Debate Replay Platform • Uniformly organise diverse sources of information • Support user preferences in terms of: • Visualisation channels • Media navigation and indexing • Allow for different kinds of audience response
  • 76. Arguments Fact checking Generation of: - Web content - Analytics - Open data - ... Repository Replay Website GO! Argument Mapping Open Data Video Transcripts Twitter Feeds Soft Feedback System Rhetoric and Rules Checking Debate Rules Non-Cooperation Topics Open Data Sentiment Analysis Party Manifestos Topic Analysis Soft Feedback Analysis Fact-Checking Soft Feedback EDV Architecture Sketch Features and functionalities: • Gather data from sources • Analyse data and produce visualisations • Tailor augmentations to audiences and purposes • Publish open data and replay interface • Provide access to citizens and give them a ‘voice’
  • 77.
  • 78. Thanks for your time! Brian Plüss Anna De Liddo Simon Buckingham Shum Knowledge Media Institute The Open University, UK http://edv-project.net/

Notas do Editor

  1. To test the soft feedback idea we designed an experiment in which audience reactions were captured by using flashcards. Flashcards consist of paper cards containing textual information and are often used in learning contexts for memory training. We used them to help viewers to reflect on the specific “concepts” captured by the flashcard text. The flashcards’ spaced order and repetition was used as a method to help participants memorising the cards. Card’s colour, and typographic style was also carefully designed to help participants to easily focus on the key concept captured by the card. The aim of the cards was to elicit three main types of reactions to the speakers’ utterances: emotional, trust, and information needs reactions. The trust cards (yellow cards) were designed to provide insights on the main motivations for audience’s trust/distrust. They were specifically designed with the gaol in mind to distinguish between trust on the speaker, the debate content, and pre-existing beliefs. The emotion cards (red cards) were designed to provide insights on audience’s emotional reactions to the debate and can be used as proxy to assess people engagement with the speakers and the debated topics. Finally the questions cards (blue cards) were designed to provide insights on audience’s information needs. This deck of cards also aimed to inform the type of information analysis and visualizations to be implemented in the EDV replay platform, in order to make the audience viewing experience more informative. In the following we list the trust cards we designed and the associated type of trust each card aimed at capturing. The cards colours, and typographic style was carefully designed to help participants to easily focus and memorise the key concept captured by each card.
  2. To test the soft feedback idea we designed an experiment in which audience reactions were captured by using flashcards. Flashcards consist of paper cards containing textual information and are often used in learning contexts for memory training. We used them to help viewers to reflect on the specific “concepts” captured by the flashcard text. The flashcards’ spaced order and repetition was used as a method to help participants memorising the cards. Card’s colour, and typographic style was also carefully designed to help participants to easily focus on the key concept captured by the card. The aim of the cards was to elicit three main types of reactions to the speakers’ utterances: emotional, trust, and information needs reactions. The trust cards (yellow cards) were designed to provide insights on the main motivations for audience’s trust/distrust. They were specifically designed with the gaol in mind to distinguish between trust on the speaker, the debate content, and pre-existing beliefs. The emotion cards (red cards) were designed to provide insights on audience’s emotional reactions to the debate and can be used as proxy to assess people engagement with the speakers and the debated topics. Finally the questions cards (blue cards) were designed to provide insights on audience’s information needs. This deck of cards also aimed to inform the type of information analysis and visualizations to be implemented in the EDV replay platform, in order to make the audience viewing experience more informative. In the following we list the trust cards we designed and the associated type of trust each card aimed at capturing. The cards colours, and typographic style was carefully designed to help participants to easily focus and memorise the key concept captured by each card.
  3. To test the soft feedback idea we designed an experiment in which audience reactions were captured by using flashcards. Flashcards consist of paper cards containing textual information and are often used in learning contexts for memory training. We used them to help viewers to reflect on the specific “concepts” captured by the flashcard text. The flashcards’ spaced order and repetition was used as a method to help participants memorising the cards. Card’s colour, and typographic style was also carefully designed to help participants to easily focus on the key concept captured by the card. The aim of the cards was to elicit three main types of reactions to the speakers’ utterances: emotional, trust, and information needs reactions. The trust cards (yellow cards) were designed to provide insights on the main motivations for audience’s trust/distrust. They were specifically designed with the gaol in mind to distinguish between trust on the speaker, the debate content, and pre-existing beliefs. Finally the questions cards (blue cards) were designed to provide insights on audience’s information needs. This deck of cards also aimed to inform the type of information analysis and visualizations to be implemented in the EDV replay platform, in order to make the audience viewing experience more informative. In the following we list the trust cards we designed and the associated type of trust each card aimed at capturing. The cards colours, and typographic style was carefully designed to help participants to easily focus and memorise the key concept captured by each card.
  4. To test the soft feedback idea we designed an experiment in which audience reactions were captured by using flashcards. Flashcards consist of paper cards containing textual information and are often used in learning contexts for memory training. We used them to help viewers to reflect on the specific “concepts” captured by the flashcard text. The flashcards’ spaced order and repetition was used as a method to help participants memorising the cards. Card’s colour, and typographic style was also carefully designed to help participants to easily focus on the key concept captured by the card. The aim of the cards was to elicit three main types of reactions to the speakers’ utterances: emotional, trust, and information needs reactions. The trust cards (yellow cards) were designed to provide insights on the main motivations for audience’s trust/distrust. They were specifically designed with the gaol in mind to distinguish between trust on the speaker, the debate content, and pre-existing beliefs. The emotion cards (red cards) were designed to provide insights on audience’s emotional reactions to the debate and can be used as proxy to assess people engagement with the speakers and the debated topics. Finally the questions cards (blue cards) were designed to provide insights on audience’s information needs. This deck of cards also aimed to inform the type of information analysis and visualizations to be implemented in the EDV replay platform, in order to make the audience viewing experience more informative. In the following we list the trust cards we designed and the associated type of trust each card aimed at capturing. The cards colours, and typographic style was carefully designed to help participants to easily focus and memorise the key concept captured by each card.
  5. We used as test-bed the second political debate between Nick Clegg and Nigel Farage about whether the UK should be in or out of the EU (one hour debate hosted by BBC television on April 2th 2014 http://www.bbc.co.uk/news/uk-politics-26443312). A study was run with 15 Leed’s University students in which participants were asked to watch the political debate and raise the flashcards as the debate unfolded. Students were asked to raise the flashcard that most represented their “feeling” toward what was being said by the politicians during the debate. This procedure was repeated throughout the entire debate allowing the participants to raise the cards as many times as they wanted, whenever any event during the debate triggered any reaction from their
  6. We’ll use soft feedback analysis to investigate and measure which democratic entitlement is triggered at specific time of the political debate and by specific political topics and actors.
  7. We’ll use soft feedback analysis to investigate and measure which democratic entitlement is triggered at specific time of the political debate and by specific political topics and actors.
  8. We’ll use soft feedback analysis to investigate and measure which democratic entitlement is triggered at specific time of the political debate and by specific political topics and actors.