Social Champion Identification for NGOs

In this paper, we attempt to provide a recommender system to help NGOs select motivated and passionate individuals to promote their cause on social media by evaluating their digital social profiles. We have taken Twitter as the social medium due to its relatively easier access to user data and tweets. The best fit for a particular NGO would be the person who has both influence within her digital social network as well as writes and posts on matters relevant to the NGO. To achieve this ranking, we break down the profile of the candidate into three metrics: Influence, Engagement and Relevance. These three metrics provide quantitative scores of the influence the candidate has over her network, how engaged her follower base is and how relevant the topics the candidate talks about is to the NGO's work respectively. The first metric uses the TwitterRank algorithm to measure the influence the user has on his follower base. Engagement quantifies the way the follower base reacts to the posts through likes and retweets. Finally, we implement topic modelling with LDA to quantify the relevance of the candidate's tweets to the NGO's areas of interest. We consider whichever topic the NGO provides as the domain on which it requires candidates and hence, this system can be used by any organization to find persons of interest on Twitter.