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Co-viewing live TV with digital backchannel streams

Published: 29 June 2011 Publication History

Abstract

Social media services and microblogging applications, such as 'Twitter', are changing the way in which many people consume traditional broadcast media. Real-time backchannel conversations are now common-place as audiences simultaneously watch TV whilst using social media to broadcast their own thoughts, sentiments, opinions and emotions related to what they are watching. This individual behaviour, when aggregated, results in a new social experience comprising of mass, real-time, co-consumption of TV services. This paper describes a study which aims to understand user behaviour in this emerging area and provides some preliminary analysis of viewers' Twitter postings during the UK TV shows, The X Factor and Question Time. Our findings show that the postings expose audience engagement with TV shows and support the assertion of Twitter's growing confluence with broadcast media.

References

[1]
Atkinson, C., The Backchannel: How Audiences Are Using Twitter and Social Media and Changing Presentations Forever, New Riders, 2010
[2]
Baron, N., Discourse Structures in Instant Messaging: the Case of Utterance Breaks, In Herring, S.(ed) Computer-Mediated Communication, Hampton Pr, 2005.
[3]
Boyd, D., Golder, S., Lotan, G., Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter, In Proc. 43rd Hawaii Int'l Conf. on System Sciences, pp 1--10, 2010.
[4]
Broadcasters Audience Research Board, http://www.barb.co.uk
[5]
Dork, M., Gruen, D., Williamson, C., Carpendale, S., A Visual backchannel for Large Scale Events, IEEE Trans. Visualization & Computer Graphics, 16,9,2010.
[6]
Einav, G., Carey, J., Is TV Dead? Consumer Behaviour in the Digital TV Environment and Beyond, in Gerbarg, D., Television Goes Digital, Springer Science & Business Media, 2009.
[7]
Jaiku, (www.jaiku.com)
[8]
Java, A., Song, X., Finin, T., Tseng, B., Why We twitter: An Analysis of a Microblogging Community, In Zhang, H. et al, Advances in Web Mining and Web Usage Analysis, LNCS 2009, 5439/2009, pp.118--138.
[9]
Ling, R., The Sociolinguistics of SMS: An Analysis of SMS Use by a Random Sample of Norwegians, In Mobile Communications: CSCW 2005, 31, 4, pp.335--349, 2005.
[10]
Marwick, A, E., Boyd, D., I Tweet Honestly, I Tweet Passionately: Twitter Users, Context Collapse and the Imagined Audience, New Media & Society, (In Press),
[11]
McNely, B., Backchannel Persistence and Collaborative Meaning Making, Proc. SIGDOC'09, October 5--7, 2009.
[12]
New York Times The MTV Video Music Awards: http://artsbeat.blogs.nytimes.com/2010/09/13/the-mtv-video-music-awards-a-twitter-timeline/
[13]
Schatz, R., Baillie, L., Frohlich, P., Grechenig, T., What Are You Viewing? Exploring the Pervasive Social TV Experience, in Marcus, A., Roibas, C., Sala, R., Mobile TV: Customizing Content and Experience, Human-Computer Interaction Series, Springer, 2010, pp. 255--290.
[14]
Siegman, A., Feldstein, S., Nonverbal Behaviour and Communication, Erlbaum, 1987.
[15]
Shamma, D., Kennedy, I., Churchill, E., Tweetgeist: Can the Twitter Timeline Reveal the Structure of Broadcast Events? In CSCW Horizons 2010.
[16]
The Telegraph, (http://www.telegraph.co.uk/culture /tvandradio/6414901/BNP-Nick-Griffin-on-BBC-Question-Time-watched-by-8-million.html)
[17]
Tumblr,(www.tumblr.com)
[18]
TwapperKeeper, (www.twapperkeeper.com)
[19]
TweePlayer http://tweeplayer.com/
[20]
TwitLonger, (www.twitlonger.com)
[21]
Zhao, D., Rosson, M., How and Why People Twitter: The Role that Micro-blogging Plays in Informal Communication at Work, In Proc. GROUP'09, ACM Intl. Conference on Supporting Group Work, 2009.

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    cover image ACM Conferences
    EuroITV '11: Proceedings of the 9th European Conference on Interactive TV and Video
    June 2011
    266 pages
    ISBN:9781450306027
    DOI:10.1145/2000119
    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: 29 June 2011

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    • (2021)Creating and consuming content: exploring member engagement and role acceptance within an online tennis forumLeisure/Loisir10.1080/14927713.2021.1910069(1-26)Online publication date: 25-Apr-2021
    • (2020)From Entertainment Device to IoT TerminalHandbook of Research on Managerial Practices and Disruptive Innovation in Asia10.4018/978-1-7998-0357-7.ch007(128-146)Online publication date: 2020
    • (2019)Social TV Viewing : The Effect of Virtual Co-Viewers and the Role of Social PresenceJournal of Digital Contents Society10.9728/dcs.2019.20.8.154320:8(1543-1552)Online publication date: 31-Aug-2019
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