research-article

All the news that's fit to read: a study of social annotations for news reading

Authors:

Chinmay Kulkarni,

Ed ChiAuthors Info & Claims

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2407 - 2416

https://doi.org/10.1145/2470654.2481334

Published: 27 April 2013 Publication History

Abstract

As news reading becomes more social, how do different types of annotations affect people's selection of news articles? This paper reports on results from two experiments looking at social annotations in two different news reading contexts. The first experiment simulates a logged-out experience with annotations from strangers, a computer agent, and a branded company. Results indicate that, perhaps unsurprisingly, annotations by strangers have no persuasive effects. However, surprisingly, unknown branded companies still had a persuasive effect. The second experiment simulates a logged-in experience with annotations from friends, finding that friend annotations are both persuasive and improve user satisfaction over their article selections. In post-experiment interviews, we found that this increased satisfaction is due partly because of the context that annotations add. That is, friend annotations both help people decide what to read, and provide social context that improves engagement. Interviews also suggest subtle expertise effects. We discuss implications for design of social annotation systems and suggestions for future research.

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Cited By

Fok RKambhamettu HSoldaini LBragg JLo KHearst MHead AWeld D(2023)Scim: Intelligent Skimming Support for Scientific PapersProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584034(476-490)Online publication date: 27-Mar-2023
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Fang J(2023)Supporting Online Learning and Teaching with Social AnnotationsCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work10.1145/3565967.3571751(42-44)Online publication date: 8-Jan-2023
https://dl.acm.org/doi/10.1145/3565967.3571751
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Index Terms

All the news that's fit to read: a study of social annotations for news reading
1. Human-centered computing

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cover image ACM Conferences

CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2013

3550 pages

ISBN:9781450318990

DOI:10.1145/2470654

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 27 April 2013

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CHI '13

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CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

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CHI '13 Paper Acceptance Rate 392 of 1,963 submissions, 20%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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https://dl.acm.org/doi/10.1145/3581641.3584034
Fang J(2023)Supporting Online Learning and Teaching with Social AnnotationsCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work10.1145/3565967.3571751(42-44)Online publication date: 8-Jan-2023
https://dl.acm.org/doi/10.1145/3565967.3571751
Fang JWang YYang CLiu CWang H(2022)Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning ContextsProceedings of the ACM on Human-Computer Interaction10.1145/34928406:GROUP(1-21)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3492840
Cao HChen ZCheng MZhao SWang TLi Y(2021)You Recommend, I BuyProceedings of the ACM on Human-Computer Interaction10.1145/34491415:CSCW1(1-25)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449141
Fang JWang YYang CWang H(2021)NoteCoStruct: Powering Online Learners with Socially Scaffolded Note Taking and SharingExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451694(1-5)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451694
Wu HCalabrèse AKornprobst P(2021)Towards accessible news reading design in virtual reality for low visionMultimedia Tools and Applications10.1007/s11042-021-10899-9Online publication date: 16-May-2021
https://doi.org/10.1007/s11042-021-10899-9
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Wood GLong KFeltwell TRowland SBrooker PMahoney JVines JBarnett JLawson SMandryk RHancock MPerry MCox A(2018)Rethinking Engagement with Online News through Social and Visual Co-AnnotationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174150(1-12)Online publication date: 21-Apr-2018
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