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TweetDrops: a visualization to foster awareness and collective learning of sustainability

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CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing

Pages 33 - 36

https://doi.org/10.1145/2556420.2556787

Published: 15 February 2014 Publication History

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Abstract

Whether or not you are paying attention to sustainability, you may become interested in it by reading about it online, or learning sustainable knowledge from others. We designed a system called TweetDrops, which is designed to draw people's attention to the issue of sustainability and to help them to learn sustainability-related knowledge by using an aesthetic visualization of qualitative data about sustainability attitudes and practices drawn from Twitter.

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Nasr-Azadani ESmithwick ESteidle SLucash MWardrop DFregien NKenote T(2023)Integrating Menominee model for sustainable forestry with Systems Thinking competency through 3D virtual toursSustainability Science10.1007/s11625-023-01399-w18:6(2605-2628)Online publication date: 24-Aug-2023
https://doi.org/10.1007/s11625-023-01399-w
Maia ACunha TSoares CAbreu P(2016)TweeProfiles3: Visualization of Spatio-Temporal Patterns on TwitterNew Advances in Information Systems and Technologies10.1007/978-3-319-31232-3_82(869-878)Online publication date: 2-Mar-2016
https://doi.org/10.1007/978-3-319-31232-3_82
Rebelo FSoares CRossetti R(2015)TwitterJam: Identification of mobility patterns in urban centers based on tweets2015 IEEE First International Smart Cities Conference (ISC2)10.1109/ISC2.2015.7366156(1-6)Online publication date: Oct-2015
https://doi.org/10.1109/ISC2.2015.7366156

Index Terms

TweetDrops: a visualization to foster awareness and collective learning of sustainability
1. Human-centered computing

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Published In

CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing

February 2014

372 pages

ISBN:9781450325417

DOI:10.1145/2556420

General Chairs:
Susan Fussell
Cornell University
,
Wayne Lutters
University of Maryland, Baltimore County
,
Program Chairs:
Meredith Ringel Morris
Microsoft Research
,
Madhu Reddy
Penn State University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 15 February 2014

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SIGCHI

CSCW'14: Computer Supported Cooperative Work

February 15 - 19, 2014

Maryland, Baltimore, USA

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CSCW Companion '14 Paper Acceptance Rate 88 of 497 submissions, 18%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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Nasr-Azadani ESmithwick ESteidle SLucash MWardrop DFregien NKenote T(2023)Integrating Menominee model for sustainable forestry with Systems Thinking competency through 3D virtual toursSustainability Science10.1007/s11625-023-01399-w18:6(2605-2628)Online publication date: 24-Aug-2023
https://doi.org/10.1007/s11625-023-01399-w
Maia ACunha TSoares CAbreu P(2016)TweeProfiles3: Visualization of Spatio-Temporal Patterns on TwitterNew Advances in Information Systems and Technologies10.1007/978-3-319-31232-3_82(869-878)Online publication date: 2-Mar-2016
https://doi.org/10.1007/978-3-319-31232-3_82
Rebelo FSoares CRossetti R(2015)TwitterJam: Identification of mobility patterns in urban centers based on tweets2015 IEEE First International Smart Cities Conference (ISC2)10.1109/ISC2.2015.7366156(1-6)Online publication date: Oct-2015
https://doi.org/10.1109/ISC2.2015.7366156

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Recommendations

Harnessing Green IT: Principles and Practices

Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web

Rumor Gauge: Predicting the Veracity of Rumors on Twitter

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