The ways in which we share and engage research today are in a state of change. Following the move from print- to digitally-based resources–a change in the way in which we represent and convey our research materials–we’re also engaging in new patterns of conveyance and interaction, some of them ‘social’ in nature even as we locate specific materials in larger collections of research. 

Partnered with the UVic Electronic Textual Cultures Lab (ETCL), the Implementing New Knowledge Environments (INKE) Partnership, and the Canadian Social Knowledge Institute (C-SKI), Luis Meneses and his colleagues carry out work in developing a Social Media Engine to aid these activities. 

This engine and its underlying framework relies on the affordances found in Open Access Repositories (ROAR), and it aims to instigate public engagement, open social scholarship, and social knowledge creation by facilitating the matching of readers with relevant publications. For this purpose, in our work we focus on different techniques and technologies that we use for extracting relevant features from social media. Additionally, we also use our work to enrich an ongoing discussion by analyzing the results that we gathered from the alignment of these social media indicators with the models extracted from our document corpus. These features, and others beyond, will be the foundation of the Social Media Engine, which will be available as a working prototype in mid-2018.