Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media

MeiXing Dong, Xueming Xu, Yiwei Zhang, Ian Stewart, Rada Mihalcea


Abstract
Many people aim for change, but not everyone succeeds. While there are a number of social psychology theories that propose motivation-related characteristics of those who persist with change, few computational studies have explored the motivational stage of personal change. In this paper, we investigate a new dataset consisting of the writings of people who manifest intention to change, some of whom persist while others do not. Using a variety of linguistic analysis techniques, we first examine the writing patterns that distinguish the two groups of people. Persistent people tend to reference more topics related to long-term self-improvement and use a more complicated writing style. Drawing on these consistent differences, we build a classifier that can reliably identify the people more likely to persist, based on their language. Our experiments provide new insights into the motivation-related behavior of people who persist with their intention to change.
Anthology ID:
2021.socialnlp-1.13
Volume:
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media
Month:
June
Year:
2021
Address:
Online
Editors:
Lun-Wei Ku, Cheng-Te Li
Venue:
SocialNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
153–162
Language:
URL:
https://aclanthology.org/2021.socialnlp-1.13
DOI:
10.18653/v1/2021.socialnlp-1.13
Bibkey:
Cite (ACL):
MeiXing Dong, Xueming Xu, Yiwei Zhang, Ian Stewart, and Rada Mihalcea. 2021. Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media. In Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, pages 153–162, Online. Association for Computational Linguistics.
Cite (Informal):
Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media (Dong et al., SocialNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.socialnlp-1.13.pdf