175 research outputs found

    An illustrated framework for the analysis of Web2.0 interactivity

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    'Catching the user' in online research: an innovative approach for respondent recruitment

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    Most APIs (Application Programming Interfaces) are used in social science research to retrieve metadata on media objects, harvesting descriptive data (e.g. tags) and user interaction with the object (e.g. number of comments), or on media subjects (e.g. number of posts) as they enable instantaneous, automated and repeatable data collection. This paper elaborates on another use of APIs; namely as a tool for the recruitment of respondents from online platforms. We will present two case studies in which APIs were used to recruit respondents from YouTube and Twitter and to invite them to participate in an online survey. Using these case studies as a springboard, we will point to the methodological opportunities and challenges, and, importantly, to the ethical considerations related to using APIs for enlisting respondents, such as the blurred distinction between private and public spaces or between ‘being in public’ and ‘being public’

    Studying web 2.0 interactivity: a research framework and two case studies

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    With more than one third of the world’s population being online, the Internet has increasingly become part of modern living, giving rise to popular literature that often takes a teleological and celebratory perspective, heralding the Internet and Web 2.0 specifically, as an enabler of participation, democracy, and interactivity. However, one should not take these technological affordances of Web 2.0 for granted. This article applies an interaction framework to the analysis of two Web 2.0 websites viewed as spaces where interaction goes beyond the mere consultation and selection of content, i.e., as spaces supporting the (co)creation of content and value. The authors’ approach to interactivity seeks to describe websites in objective, structural terms as spaces of user, document, and website affordances. The framework also makes it possible to talk about the websites in subjective, functional terms, considering them as spaces of perceived inter-action, intra-action and outer-action affordances. Analysis finds that both websites provide numerous user, document, and website affordances that can serve as inter-action or social affordances

    Teenage uploaders on YouTube: networked public expectancies, online feedback preference, and received on-platform feedback

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    This article focuses on teenage YouTube uploaders' networked public expectancies when posting a video. These expectancies allow uploaders to cope temporarily with the uncertainty of who exactly will view their video. The results indicate that teenage uploaders strongly expect viewers that are situated close to them in both geographic and socio-demographic terms. Furthermore, we discuss the uncertainty-reducing properties of online feedback. We propose that different types of online feedback are preferred to verify the prior networked public expectancies. An effect of the identified online public expectancy (viewers with a similar interest/activity) is found for the importance of feedback both on the platform (e.g., views, comments) and off the platform (e.g., interaction on a social-network site). The identified offline public expectancy (friends/family) affects the importance attributed to off-platform feedback. Surprisingly, no effect of the unidentified online public expectancy (the general public) was found on on-platform feedback. This finding, in conjunction with the low expectancy of this group, raises the question of whether teenagers either cannot conceive this ambiguous mass public, or, if their expectancies are accurate, whether they are aware of the fact that only a small fraction of the videos on YouTube reach notable popularity. Therefore, in a second study, we test the accuracy of the online networked public expectancies by testing their effects on the longitudinal growth of actual feedback (views, comments, and rates). The results provide modest evidence that teenage uploaders have accurate online public expectancies
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