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Owing to the popularity of Online Social Media (OSM), Internet users share alot of information (including personal) on and across OSM services every day.For example, it is common to find a YouTube video embedded in a blog post withan option to share the link on Facebook. Users recommend, comment, and forwardinformation they receive from friends, contributing in spreading theinformation in and across OSM services. We term this information diffusionprocess from one OSM service to another as Cross-Pollination, and the networkformed by users who participate in Cross-Pollination and content produced inthe network as \emph{Cross-Pollinated network}. Research has been done aboutinformation diffusion within one OSM service, but little is known aboutCross-Pollination. In this paper, we aim at filling this gap by studying howinformation (video, photo, location) from three popular OSM services (YouTube,Flickr and Foursquare) diffuses on Twitter, the most popular microbloggingservice. Our results show that Cross-Pollinated networks follow temporal andtopological characteristics of the diffusion OSM (Twitter in our study).Furthermore, popularity of information on source OSM (YouTube, Flickr andFoursquare) does not imply its popularity on Twitter. Our results also showthat Cross-Pollination helps Twitter in terms of traffic generation and userinvolvement, but only a small fraction of videos and photos gain a significantnumber of views from Twitter. We believe this is the first research work whichexplicitly characterizes the diffusion of information across different OSMservices.

Cross-Pollination of Information in Online Social Media: A Case Study on Popular Social Networks