Abstract
Thank you for your interest in the Data Analytics, Data Mining, and Machine Learning for Social Media Minitrack. We continued to see strong interest in this minitrack with twenty-eight submissions of which twelve were accepted. This year's paper contributions vary in scope and focus and thus provide a wide-ranging view of the state of methodologies in examining the field of social media. In our introduction last year, we warned that "our digital communities continue to struggle with the challenge of being free and open" which has been highlighted with recent articles expressing concern that X/Twitter is no longer freely available for academic research. As such, we are heartened at the diversity of data sources that this year's papers represent. We thank all those who have submitted to this minitrack over the years along with everyone who continues to better understand social media's impact on our society. Once again, this year's papers provide many new insights into this vital area of research.