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The Public Life of Data

  • This research investigates how people engage with data visualizations when commenting on the social platform Reddit. There has been considerable research on collaborative sensemaking with visualizations and the personal relation of people with data. Yet, little is known about how public audiences without specific expertise and shared incentives openly express their thoughts, feelings, and insights in response to data visualizations. Motivated by the extensive social exchange around visualizations in online communities, this research examines characteristics and motivations of people’s reactions to posts featuring visualizations. Following a Grounded Theory approach, we study 475 reactions from the /r/dataisbeautiful community, identify ten distinguishable reaction types, and consider their contribution to the discourse. A follow-up survey with 168 Reddit users clarified their intentions to react. Our results help understand the role of personal perspectives on data and inform future interfaces that integrate audience reactions intoThis research investigates how people engage with data visualizations when commenting on the social platform Reddit. There has been considerable research on collaborative sensemaking with visualizations and the personal relation of people with data. Yet, little is known about how public audiences without specific expertise and shared incentives openly express their thoughts, feelings, and insights in response to data visualizations. Motivated by the extensive social exchange around visualizations in online communities, this research examines characteristics and motivations of people’s reactions to posts featuring visualizations. Following a Grounded Theory approach, we study 475 reactions from the /r/dataisbeautiful community, identify ten distinguishable reaction types, and consider their contribution to the discourse. A follow-up survey with 168 Reddit users clarified their intentions to react. Our results help understand the role of personal perspectives on data and inform future interfaces that integrate audience reactions into visualizations to foster a public discourse about data.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Tobias Kauer, Arran Ridley, Marian DörkORCiD, Benjamin Bach
DOI:https://doi.org/10.1145/3411764.3445720
Titel des übergeordneten Werkes (Englisch):CHI Conference on Human Factors in Computing Systems (CHI ’21)
Untertitel (Englisch):Investigating Reactions to Visualizations on Reddit
Verlag:Association for Computing Machinery
Verlagsort:New York
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):07.03.2022
Jahr der Erstveröffentlichung:2021
Veröffentlichende Institution:Fachhochschule Potsdam
Datum der Freischaltung:07.03.2022
Freies Schlagwort / Tag:data visualization; personal data; reddit
GND-Schlagwort:Visualisierung; Personenbezogenen Daten
Jahrgang:2021
Erste Seite:1
Letzte Seite:12
Fachbereiche und Zentrale Einrichtungen:FB4 Design
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
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