skip to main content
10.1145/3025453.3025925acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article
Public Access

Was my message read?: Privacy and Signaling on Facebook Messenger

Published:02 May 2017Publication History

ABSTRACT

Major online messaging services such as Facebook Messenger and WhatsApp are starting to provide users with real-time information about when people read their messages, while useful, the feature has the potential to negatively impact privacy as well as cause concern over access to self. We report on two surveys using Mechanical Turk which looked at senders' (N=402} use of and reactions to the `message seen' feature, and recipients' (N=316) privacy and signaling behaviors in the face of such visibility. Our findings indicate that senders experience a range of emotions when their message is not read, or is read but not answered immediately. Recipients also engage in various signaling behaviors in the face of visibility by both replying or not replying immediately.

Skip Supplemental Material Section

Supplemental Material

References

  1. Amazon Mechanical Turk. Amazon Mechanical Turk. https://www.mturk.com/mturk/welcome.Google ScholarGoogle Scholar
  2. Michael S. Bernstein, Eytan Bakshy, Moira Burke, and Brian Karrer. 2013. Quantifying the Invisible Audience in Social Networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Karen Church and Rodrigo de Oliveira. 2013. What's Up with Whatsapp?: Comparing Mobile Instant Messaging Behaviors with Traditional SMS. In Proceedings of the 15th International Conference on Human-computer Interaction with Mobile Devices and Services (MobileHCI '13). ACM, NY, NY, USA, 352--361. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Facebook Messenger Delivery Feedback. Facebook Messenger Delivery Feedback. https://www.facebook.com/help/messenger-app/ iphone/926389207386625/?ref=u2u.Google ScholarGoogle Scholar
  5. Facebook Messenger Statistics. Facebook Messenger Statistics. http://www.statista.com/statistics/417295/ facebook-messenger-monthly-active-users/.Google ScholarGoogle Scholar
  6. Erving Goffman. 1959. The presentation of self in everyday life. Garden City, NY Double Day.Google ScholarGoogle Scholar
  7. Roberto Hoyle, Srijita Das, Apu Kapadia, Adam Lee, and Kami Vaniea. 2017. Viewing the Viewers: Publishers' Desires and Viewers' Privacy Concerns in Social Networks. In ACM Conference on Computer Supported Cooperative Work (CSCW '17), To appear. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Ruogu Kang, Stephanie Brown, Laura Dabbish, and Sara Kiesler. 2014. Privacy Attitudes of Mechanical Turk Workers and the U.S. Public. In Symposium On Usable Privacy and Security (SOUPS '14). 37--49.Google ScholarGoogle Scholar
  9. Lisa M. Mai, Rainer Freudenthaler, Frank M. Schneider, and Peter Vorderer. 2015. "I know youve seen it!" Individual and social factors for users' chatting behavior on Facebook. Computers in Human Behavior 49 (2015), 296--302. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Christena E. Nippert-Eng. 1996. Home and Work. The University of Chicago Press.Google ScholarGoogle Scholar
  11. Kenton P. O'Hara, Michael Massimi, Richard Harper, Simon Rubens, and Jessica Morris. 2014. Everyday Dwelling with WhatsApp. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '14). ACM, NY, NY, USA, 1131--1143. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Sameer Patil and Alfred Kobsa. 2005. Uncovering Privacy Attitudes and Practices in Instant Messaging. In Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work (GROUP '05). ACM, 109--112. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Martin Pielot, Rodrigo de Oliveira, Haewoon Kwak, and Nuria Oliver. 2014. Didn't You See My Message?: Predicting Attentiveness to Mobile Instant Messages. In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14). ACM, NY, NY, USA, 3319--3328. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Yasmeen Rashidi, Kami Vaniea, and L Jean Camp. 2016. Understanding Saudis? Privacy Concerns When Using WhatsApp. In Proceedings of the Workshop on Usable Security (USEC '16).Google ScholarGoogle ScholarCross RefCross Ref
  15. Blase Ur, Pedro G. Leon, Lorrie Faith Cranor, Richard Shay, and Yang Wang. 2012. Smart, Useful, Scary, Creepy: Perceptions of Online Behavioral Advertising. In Proceedings of the 8th Symposium On Usable Privacy and Security (SOUPS '12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. WhatsApp Delivery Feedback. WhatsApp Delivery Feedback. https: //www.whatsapp.com/faq/en/general/20951546.Google ScholarGoogle Scholar
  17. WhatsApp Statistics. WhatsApp Statistics. http://www.statista.com/statistics/260819/ number-of-monthly-active-whatsapp-users/.Google ScholarGoogle Scholar

Index Terms

  1. Was my message read?: Privacy and Signaling on Facebook Messenger

    Recommendations

    Comments

    Login options

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

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
      May 2017
      7138 pages
      ISBN:9781450346559
      DOI:10.1145/3025453

      Copyright © 2017 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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 May 2017

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '17 Paper Acceptance Rate600of2,400submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader