Abstract

With the popularization of the Social Web (or Read-Write Web) and millions of participants in these interactive spaces, institutions of higher education have found it necessary to create online presences to promote their university brands, presence, and reputation. An important aspect of that engagement involves being aware of how their brand is represented informally (and formally) on social media platforms. Universities have traditionally maintained thin channels of formalized communications through official media channels, but in this participatory new media age, the user-generated contents and communications are created independent of the formal public relations offices. The university brand is evolving independently of official controls. Ex-post interventions to protect university reputation and brand may be too little, too late, and much of the contents are beyond the purview of the formal university. Various offices and clubs have institutional accounts on Facebook as well as wide representation of their faculty, staff, administrators, and students online. There are various microblogging accounts on Twitter. Various photo and video contents related to the institution may be found on photo- and video-sharing sites, like Flickr, and there are video channels on YouTube. All this digital content is widely available and may serve as points-of-contact for the close-in to more distal stakeholders and publics related to the institution. A recently available open-source tool enhances the capability for crawling (extracting data) these various social media platforms (through their Application Programming Interfaces or “APIs”) and enables the capture, analysis, and social network visualization of broadly available public information. Further, this tool enables the analysis of previously hidden information. This chapter introduces the application of Network Overview, Discovery and Exploration for Excel (NodeXL) to the empirical and multimodal analysis of a university's electronic presence on various social media platforms and offers some initial ideas for the analytical value of such an approach.

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