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Patterns of Implicit and Non-follower Retweet Propagation: Investigating the Role of Applications and Hashtags

Azman, Norhidayah and Millard, David E. and Weal, Mark (2011) Patterns of Implicit and Non-follower Retweet Propagation: Investigating the Role of Applications and Hashtags. pp. 1-4. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Existing literature on retweets seems to focus mainly on retweets created using explicit, formal retweeting mecha- nisms, such as Twitter's own native retweet function, and the pre�xing of the terms `RT' or `via' in front of copied tweets. However, retweets can also be made using implicit, informal mechanisms. These include tweet replies and other mechanisms, which use neither the native nor RT/via mech- anisms, but their content and timelines suggest the likeli- hood of being a retweet. Moreover, retweets can also oc- cur with or without a de�ned follower/following network path between a tweet originator and a retweeter. This pa- per presents an initial taxonomy of propagation based on seven di�erent ways a tweet may spread: native, native non-follower, RT/Via, RT/Via non-follower, replies, non- follower replies and other implicit `retweets'. An experi- ment has examined this new model, by investigating where tweets containing URLs from the domains of online peti- tions, charity fundraisers, news portals, and YouTube videos can be classi�ed into the seven di�erent categories. When including other implicit `retweets', more than 50% of all the retweets found across all four domains were classi�ed as im- plicit retweets, while more than 79% of all retweets were made by non-followers. More work needs to be done on the composition of other implicit `retweets'. Initial inves- tigations found hashtags in 99{100% of these tweets, sug- gesting that retweeting using conventional mechanisms may not be the main method that URLs get propagated across microblogs.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:WebSci Conference 2011
Subjects:WS1 Computer Science
WS3 Web Engineering
Web Science Events > Web Science 2011
ID Code:517
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:38
Last Modified:25 Oct 2011 17:11

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