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        <title>Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media</title>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/2021.socialnlp-1.13</identifier>
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%0 Conference Proceedings
%T Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
%A Dong, MeiXing
%A Xu, Xueming
%A Zhang, Yiwei
%A Stewart, Ian
%A Mihalcea, Rada
%S Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media
%D 2021
%8 jun
%I Association for Computational Linguistics
%C Online
%F dong-etal-2021-room
%X 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.
%R 10.18653/v1/2021.socialnlp-1.13
%U https://aclanthology.org/2021.socialnlp-1.13
%U https://doi.org/10.18653/v1/2021.socialnlp-1.13
%P 153-162

Markdown (Informal)

[Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media](https://aclanthology.org/2021.socialnlp-1.13) (Dong et al., SocialNLP 2021)

• Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media (Dong et al., SocialNLP 2021)

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.