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Looking for trustworthy relief channels: A social recommender approach

Abstract:

Each year, natural disasters cause severe damage to infrastructure and lead to significant losses of human lives. Non-governmental organizations (NGOs) and activists use social media networks to disseminate and organize relief efforts, but are often unable to efficiently gather volunteers and resources. Harnessing the power of crowdsourced social media services (e.g. Twitter, Facebook, Google+), we can provide trustworthy channels that can contribute in the relief efforts lead by NGOs and activists. This research project seeks to determine the best approach to build a social recommender model based on the dynamics of human behavior exhibited by fine-grained geospatial footprints of citizens on social networks. Thus, the aim is to provide location-aware recommendations of trustworthy activists, enabling citizens to contribute more efficiently during events, such as, natural disasters.