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

Published:27 April 2013Publication 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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    • 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

      Copyright © 2013 ACM

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      New York, NY, United States

      Publication History

      • Published: 27 April 2013

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      CHI '13 Paper Acceptance Rate392of1,963submissions,20%Overall Acceptance Rate6,199of26,314submissions,24%

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