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E-Memory Choice Architecture: Modeling the Use Diffusion of Twitter Archiving System
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Author(s): Hsia-Ching Chang (University of North Texas, Denton, USA)and Chen-Ya Wang (Department of Management & Information, National Open University, New Taipei City, Taiwan)
Copyright: 2019
Volume: 9
Issue: 1
Pages: 14
Source title:
International Journal of Online Marketing (IJOM)
Editor(s)-in-Chief: Hatem El-Gohary (College of Business & Economics, Qatar University, Qatar)
DOI: 10.4018/IJOM.2019010102
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
Twitter archiving systems have been developed to preserve users' tweets. The available methods of organizing tweets for curation include the hashtag, user ID, and keywords. These can be viewed as memory encoding symbols supporting future retrieval of users' social media memories. As Twitter has become a global social media platform, online Twitter archiving systems have transformed from an open platform for archiving tweets to an integrated service managing multiple accounts across platforms. With the changing business models of Twitter archiving systems, usage data has become unavailable publicly. This study collected historical usage data from the API of an online Twitter archiving system, TwapperKeeper, before its acquisition by Hootsuite in September 2011. The valuable system usage data allowed this study to examine the tweet archiving preferences of early Twitter adopters. By mapping adoption-diffusion and use-diffusion models into the web information architecture of the online archiving system, this study analyzed user choice architecture through the system function use.
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