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User behavior patterns when consuming and sharing information on social networks are analyzed, paying special attention to the effects of the type of presentation and the type of social network. As is common when analyzing activity on social networks, we used the experience sampling method, in which a group of volunteer participants are asked, at different times, a set of questions about their recent activity or experience. The sample consisted of 279 subjects. The results show that news requiring a greater effort is usually shared through closed networks, while in open networks there is a tendency to share more superficial information. No significant differences are found between the degree of reading of the news and the type of social network where it is shared. Moreover, the level of consumption does not influence the degree of reading of the shared material. The level of enjoyment of the news is found to influence its degree of reading. The differences between networks highlight that, on Facebook, the frequency of use influences the dynamics of consumption and sharing, with shared news being more emotional and useful. In contrast, in the case of Twitter, there is a greater preference for so-called soft information. [ABSTRACT FROM AUTHOR]

This paper analyses how the streaming television platform Netflix creates a community in Twitter. Through a content analysis (N=1,048 tweets, n=100 tweets) we explore the characteristics of the messages with more answers, more likes and more retweets. Results allow to ascertain what the audience finds more relatable in a TV brand. Conclusions show that having a creative strategy, promote and inform about series, and using the social media language, like hashtags and visual resources, contribute to the follower's participation. Asking questions looking for participations or using humour or intrigue also helps towards this objective. [ABSTRACT FROM AUTHOR]