Gender Prediction in Social Media

2014/07/08 by Smith, James
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)

paper · doi:10.48550/arxiv.1407.2147

Abstract

In this paper, we explore the task of gender classification using limited network data with an application to Fotolog. We take a heuristic approach to automating gender inference based on username, followers and network structure. We test our approach on a subset of 100,000 nodes and analyze our results to find that there is a lot of value in these limited information and that there is great promise in further pursuing this approach to classification.

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