Building Bridges into the Unknown: Personalizing Connections to Little-known Countries
Yelena Mejova, Javier Borge-Holthoefer, Ingmar Weber

TL;DR
This paper introduces a personalized recommendation system that leverages Twitter data to connect users with little-known countries, aiming to reveal hidden global connections and increase interest in obscure content.
Contribution
It proposes a novel approach combining social media analysis and knowledge matching to create personalized bridges to little-known countries, validated through user studies and interviews.
Findings
Interest increase depends on pre-existing disposition.
Recency, novelty, emotiveness, and language are key properties of effective bridges.
The approach reveals hidden global connections and enhances awareness of obscure countries.
Abstract
How are you related to Malawi? Do recent events on the Comoros effect you in any subtle way? Who in your extended social network is in Croatia? We seldom ask ourselves these questions, yet a "long tail" of content beyond our everyday knowledge is waiting to be explored. In this work we propose a recommendation task of creating interest in little-known content by building personalized "bridges" to users. We consider an example task of interesting users in little-known countries, and propose a system which aggregates a user's Twitter profile, network, and tweets to create an interest model, which is then matched to a library of knowledge about the countries. We perform a user study of 69 participants and conduct 11 in-depth interviews in order to evaluate the efficacy of the proposed approach and gather qualitative insight into the effect of multi-faceted use of Twitter on the perception…
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Taxonomy
TopicsSocial Media and Politics · ICT in Developing Communities · Complex Network Analysis Techniques
