Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Upcoming SlideShare
What to Upload to SlideShare
What to Upload to SlideShare
Loading in …3
1 of 11

The story of Data Stories



Download to read offline

A summary of the research we have carried out in the Data Stories project,

The story of Data Stories

  1. 1. THE STORY OF DATA STORIES ENGAGING WITH DATA IN A POST-TRUTH WORLD Elena Simperl @esimperl Data Stories Symposium November 26, 2020
  2. 2. “One of the interpretations of the EU referendum result and the rise of Donald Trump in the US is that we are now living in a post-truth society - a world in which anecdotes shared on social media and invented numbers thrown on the sides of buses are more trusted and influential than official statistics, extensive research, and proven expertise. In this world, scientists, statisticians, analysts, and journalists must find new ways to bring hard, factual data to citizens.” “Data must entertain as well as inform, excite as well as educate. It must be built with social media sharing in mind, and become part of our everyday activities and digital interactions with others.”
  3. 3. DATA STORIES Data Stories developed frameworks and technology to bring data closer to people through art, games, and storytelling. We examined the impact of varying levels of localisation, topicalization, participation, and shareability on public engagement with factual evidence. We delivered tools and guidance to help artists, designers, statisticians, analysts, and journalists communicate through data in inspiring, informative ways.
  4. 4. Theme 1: Find, make sense, use data
  5. 5. HIGHLIGHTS Kathleen Gregory, The story behind the story: How researchers make sense of data (DANS)
  6. 6. Theme 2: Entertain and inform with data
  7. 7. STORYTELLING THROUGH GAMES AND ART Smoking gun: A collaborative data game experience by Dan Barnard and Joe McAlister from Fast Familiar Tom Blount, Supporting Data Story Authoring with Semi-Automated Tools (University of Southampton)
  8. 8. VIRAL DATA Neural network system that classifies charts in tweets and predicts their influence  Visualisations  Subject matter/topic  “Transmission vectors”: journalists, celebrities, grassroots, botnets
  9. 9. PUBLICATIONS Talking Datasets — understanding data sensemaking behaviours. L Koesten, K Gregory, P Groth, E Simperl. Currently under review at the International Journal of Human-Computer Studies. 2020 Everything You Always Wanted to Know about a Dataset: Studies in Data Summarisation. L Koesten, E Simperl, E Kacprzak, T Blount, J Tennison. International Journal of Human-Computer Studies. 2019 Collaborative Practices with Structured Data: Do Tools Support what Users Need? L Koesten, E Kacprzak, E Simperl, J Tennison; ACM CHI Conference on Human Factors in Computing Systems, CHI 2019. Dataset search: a survey. A Chapman, E Simperl, L Koesten, G Konstantinidis, LD Ibáñez, E Kacprzak, P Groth. The International Journal on Very Large Data Bases, 2019. Characterising dataset search — An analysis of search logs and data requests. E Kacprzak, L Koesten, LD Ibáñez, T Blount, J Tennison, E Simperl; Journal of Web Semantics, 2018 The Trials and Tribulations of Working with Structured Data - a Study on Information Seeking Behaviour. L Koesten, E Kacprzak, J Tennison, E Simperl. Proceedings of ACM CHI Conference on Human Factors in Computing Systems, CHI 2017. Dataset Reuse: Toward Translating Principles to Practice. L Koesten, P Vougiouklis, E Simperl, P Groth - Patterns, 2020 Pie Chart or Pizza: Identifying Chart Types and Their Virality on Twitter - P Vougiouklis, L Carr, E Simperl - Proceedings of the International AAAI Conference on Web and Social Media, 2020