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Eun-Young Ko
Eun-Young Ko
PhD Candidate, School of Computing, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Understanding the Effect of In-Video Prompting on Learners and Instructors
H Shin, EY Ko, JJ Williams, J Kim
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
502018
Solutionchat: Real-time moderator support for chat-based structured discussion
SC Lee, J Song, EY Ko, S Park, J Kim, J Kim
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
422020
Factful: Engaging taxpayers in the public discussion of a government budget
J Kim, EY Ko, J Jung, CW Lee, NW Kim, J Kim
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
402015
Budgetmap: Engaging taxpayers in the issue-driven classification of a government budget
NW Kim, J Jung, EY Ko, S Han, CW Lee, J Kim, J Kim
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016
392016
Crowdsourcing perspectives on public policy from stakeholders
H Kim, EY Ko, D Han, SC Lee, ST Perrault, J Kim, J Kim
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
112019
Budgetmap: Issue-driven navigation for a government budget
NW Kim, CW Lee, J Jung, EY Ko, J Kim, J Kim
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015
42015
Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels
EY Ko, E Choi, J Jang, J Kim
In Proceedings of the ACM Web Conference 2022, WWW '22, 1731–1740, 2022
22022
ReviewAid: A Scaffolded Approach to Supporting Readers’ Evaluation of Health News
EY Ko, Y Kim, J Kim
Proceedings of 16th International Conference of the Learning Sciences (ICLS …, 2022
12022
What sources do individuals use to validate arguments in scientific discourses today? An exploratory study of YouTube comments on vaccination
JH Kang, EY Ko, GW Choi
Information and Learning Sciences, 2024
2024
DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback
J Park, EY Ko, YS Park, J Yim, J Kim
Proceedings of the 29th International Conference on Intelligent User …, 2024
2024
Supporting Dynamic Construction of Datasets with Annotator Suggestions
J Park, E Ko, D Han, J Yim, J Kim
The 9th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021
2021
Readersourcing an Accurate and Comprehensive Understanding of Health-related Information Represented by Media
EY Ko, C Liu, H Cha, J Kim
2019
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Articles 1–12