Abstract
Twitter is extremely useful for connecting with other users, because, on Twitter, following other users is simple. On the other hand, people are often followed by unknown and anonymous users and are sometimes shown tweets of unknown users through the tweets of the users they follow. In such a situation, they wonder whether they should follow such unknown users. This paper proposes a system for visualizing impression-based preferences of Twitter users to help people select whom to follow. The impression-based preference of a user is derived based on the impressions of the tweets the user has posted and those of the tweets of users followed by the user under consideration. Our proposed system enables people to select whom to follow depending on whether or not another user adheres to the user’s own sensibilities, rather than on whether or not another user provides valuable information.
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Kumamoto, T., Suzuki, T., Wada, H. (2014). Visualizing Impression-Based Preferences of Twitter Users. In: Meiselwitz, G. (eds) Social Computing and Social Media. SCSM 2014. Lecture Notes in Computer Science, vol 8531. Springer, Cham. https://doi.org/10.1007/978-3-319-07632-4_20
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DOI: https://doi.org/10.1007/978-3-319-07632-4_20
Publisher Name: Springer, Cham
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