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.

References

[1]

Abdi, H. Holm's sequential bonferroni procedure. Encyclopedia of research design (N. Salkind, D. M. Dougherty, and B. Frey, eds.). Sage, Thousand Oaks, California (2010), 573--577.

[2]

Allison, P. D. Missing Data. Sage, Thousand Oaks, CA, 2001.

[3]

Altman, I., Vinsel, A., and Brown, B. Dialectic conceptions in social psychology: An application to social penetration and privacy regulation. Advances in experimental social psychology 14 (1981), 107--160.

[4]

Bao, S., Xue, G., Wu, X., Yu, Y., Fei, B., and Su, Z. Optimizing web search using social annotations. In Proceedings of the 16th international conference on World Wide Web, ACM (2007), 501--510.

Digital Library

[5]

Cialdini, R. Descriptive social norms as underappreciated sources of social control. Psychometrika 72, 2 (2007), 263--268.

[6]

Cosley, D., Lam, S., Albert, I., Konstan, J., and Riedl, J. Is seeing believing?: how recommender system interfaces affect users' opinions. In Proceedings of the SIGCHI conference on Human factors in computing systems, ACM (2003), 585--592.

Digital Library

[7]

Diakopoulos, N., De Choudhury, M., and Naaman, M. Finding and assessing social media information sources in the context of journalism. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, ACM (2012), 2451--2460.

Digital Library

[8]

Fogg, B. Persuasive technology: using computers to change what we think and do. Ubiquity 2002, December (2002), 5.

Digital Library

[9]

Goffman, E. The presentation of self in everyday life. 1959. Garden City, NY (1959).

[10]

Golbeck, J., and Fleischmann, K. Trust in social q&a: the impact of text and photo cues of expertise. Proceedings of the American Society for Information Science and Technology 47, 1 (2010), 1--10.

Digital Library

[11]

Google. Introducing google social search: I finally found my friend's new york blog! http://googleblog.blogspot.com/2009/10/introducing-google-social-search-i.html, 2009.

[12]

Hermida, A. Twittering the news: The emergence of ambient journalism. Journalism Practice 4, 3 (2010), 297--308.

[13]

Joachims, T., Granka, L., Pan, B., Hembrooke, H., Radlinski, F., and Gay, G. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM Transactions on Information systems 25, 2 (2007).

Digital Library

[14]

Knobloch-Westerwick, S., Sharma, N., Hansen, D., and Alter, S. Impact of popularity indications on readers' selective exposure to online news. Journal of Broadcasting & Electronic Media 49, 3 (2005), 296--313.

[15]

Komanduri, S., Fang, L., Huffaker, D., and Staddon, J. Around the water cooler: Shared discussion topics and contact closeness in social search. In Sixth International AAAI Conference on Weblogs and Social Media (2012).

[16]

Lampe, C., Ellison, N., and Steinfield, C. A familiar face (book): profile elements as signals in an online social network. In Proceedings of the SIGCHI conference on Human factors in computing systems, ACM (2007), 435--444.

Digital Library

[17]

Langsrud, Ø. Anova for unbalanced data: Use type ii instead of type iii sums of squares. Statistics and Computing 13, 2 (2003), 163--167.

Digital Library

[18]

Lee, A., and Bruckman, A. Judging you by the company you keep: dating on social networking sites. In Proceedings of the 2007 international ACM conference on Supporting group work, ACM (2007), 371--378.

Digital Library

[19]

Li, L., Chu, W., Langford, J., and Schapire, R. A contextual-bandit approach to personalized news article recommendation. In Proceedings of the 19th international conference on World wide web, ACM (2010), 661--670.

Digital Library

[20]

Masli, M., and Terveen, L. Evaluating compliance-without-pressure techniques for increasing participation in online communities. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, ACM (2012), 2915--2924.

Digital Library

[21]

Muralidharan, A., Gyongyi, Z., and Chi, E. H. Social annotations in web search. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (CHI '12) (New York, NY, 2012), 1085--1094.

Digital Library

[22]

Nelson, L., Held, C., Pirolli, P., Hong, L., Schiano, D., and Chi, E. With a little help from my friends: examining the impact of social annotations in sensemaking tasks. In Proceedings of the 27th international conference on Human factors in computing systems, ACM (2009), 1795--1798.

Digital Library

[23]

Palen, L., and Dourish, P. Unpacking privacy for a networked world. In Proceedings of the SIGCHI conference on Human factors in computing systems, ACM (2003), 129--136.

Digital Library

[24]

Raghubir, P., and Srivastava, J. Monopoly money: The effect of payment coupling and form on spending behavior. Journal of Experimental Psychology: Applied 14, 3 (2008), 213.

[25]

Reeves, B., and Nass, C. The media equation: How people treat computers, television, and new media like real people and places. Chicago, IL, US: Center for the Study of Language and Information; New York, NY, US: Cambridge University Press, 1996.

Digital Library

[26]

Sundar, S., Knobloch-Westerwick, S., and Hastall, M. News cues: Information scent and cognitive heuristics. Journal of the American Society for Information Science and Technology 58, 3 (2007), 366--378.

Digital Library

[27]

Sundar, S., and Nass, C. Conceptualizing sources in online news. Journal of Communication 51, 1 (2006), 52--72.

[28]

Zanardi, V., and Capra, L. Social ranking: uncovering relevant content using tag-based recommender systems. In Proceedings of the 2008 ACM conference on Recommender systems, ACM (2008), 51--58.

Digital Library

[29]

Zhen, Y., Li, W., and Yeung, D. Tagicofi: tag informed collaborative filtering. In Proceedings of the third ACM conference on Recommender systems, ACM (2009), 69--76.

Digital Library

[30]

Zhu, H., Huberman, B., and Luon, Y. To switch or not to switch: understanding social influence in online choices. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, ACM (2012), 2257--2266.

Digital Library

Cited By

Fang JPark JKim JWang H(2024)EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners' Transcript-Based AnnotationsProceedings of the ACM on Human-Computer Interaction10.1145/36869608:CSCW2(1-33)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686960
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
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
Show More Cited By

Index Terms

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

Recommendations

Incidental exposure to online news
ASIS&T '10: Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47

News readership is shifting to the Internet because of accessibility, inexpensive technology, and free content. The prevalence of news on the Web provides opportunities for people to come across news in an incidental way as a byproduct of their online ...
News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking

Polls show a strong decline in public trust of traditional news outlets; however, social media offers new avenues for receiving news content. This experiment used the Facebook API to manipulate whether a news story appeared to have been posted on ...
How Social Annotation Affects Second Language Reading
CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion

Annotation is a common practice to aid reading. Social annotation may benefit collaborative second language learning in the way that second language readers may share their annotations to help each other read articles of a non-native language. In a ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

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]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CHI '13

Sponsor:

SIGCHI

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

April 27 - May 2, 2013

Paris, France

Acceptance Rates

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

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

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

24
Total Citations
View Citations
693
Total Downloads

Downloads (Last 12 months)39
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Fang JPark JKim JWang H(2024)EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners' Transcript-Based AnnotationsProceedings of the ACM on Human-Computer Interaction10.1145/36869608:CSCW2(1-33)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686960
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
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
Albarrak LMetatla ORoudaut AWakkary RAndersen KOdom WDesjardins APetersen M(2020)Exploring the Design of History-Enriched Floor Interfaces for Asynchronous Navigation SupportProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395496(1391-1403)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395496
Cohn J(2019)Talking Back to TextsMarginalia in Modern Learning Contexts10.4018/978-1-5225-7183-4.ch001(1-16)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7183-4.ch001
Pohl HMuresan AHornbæk KBrewster SFitzpatrick GCox AKostakos V(2019)Charting Subtle Interaction in the HCI LiteratureProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300648(1-15)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300648
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents