This paper is in the following e-collection/theme issue:

Social Media for Parenting (41) Machine Learning (1501)

Published on in Vol 1, No 2 (2018): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12371, first published .
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning

Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning

Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning

Authors of this article:

Samantha J Teague1 Author Orcid Image ;   Adrian BR Shatte1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (15) Metrics

Samantha J Teague   1 * , BBus, BPsych (Hons) ;   Adrian BR Shatte   1, 2 * , BIT (Hons), PhD

1 Centre for Social and Early Emotional Development, School of Psychology, Deakin University, Burwood, Australia

2 School of Science, Engineering and Information Technology, Federation University, Berwick, Australia

*all authors contributed equally

Corresponding Author:

  • Adrian BR Shatte, BIT (Hons), PhD
  • School of Science, Engineering and Information Technology
  • Federation University
  • 100 Clyde Rd
  • Berwick, 3806
  • Australia
  • Phone: 61 351226801
  • Email: a.shatte@federation.edu.au