Probabilistic Inference of Twitter Users' Age Based on What They Follow

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 10536; pp. 191 - 203
• Main Authors: Chamberlain, Benjamin Paul, Humby, Clive, Deisenroth, Marc Peter
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Lecture Notes in Computer Science

Twitter provides an open and rich source of data for studying human behaviour at scale and is widely used in social and network sciences. However, a major criticism of Twitter data is that demographic information is largely absent. Enhancing Twitter data with user ages would advance our ability to s...