Measuring the Impact of Anxiety on Online Social Interactions

Author:

Dutta Sarmistha,Ma Jennifer,De Choudhury Munmun

Abstract

For individuals with anxiety disorders, maladaptive feelings and negative beliefs can interfere with daily activities and importantly, social relationships. Literature has examined both direct and indirect influences of an individual's anxiety on their social interactions, however, how they co-vary temporally remains less explored. As individuals appropriate social media platforms more pervasively, can anxiety play an equally significant role in impacting one's \textit{online} social interactions? This paper seeks to answer this question. Employing a dataset of 200 Twitter users, their timeline, and social network data, we examine the relationship between manifested anxiety and various attributes of social interaction of a user by employing Granger causality and time series forecasting approaches. We observe that increases in anxiety levels of an individual result in increased future interaction with weak ties, indicating a tendency to seek support from the broader online community. We discuss how our findings provide novel insights and practical lessons around the impact of an individual's mental health state on their online social interactions.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Survey on Time Series Analysis of Social Emotions: An Exploration of Emotions in the Era of Machine Learning Approaches;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

2. The Utility of Social Media in Understanding the Future of Work;Companion Computer Supported Cooperative Work and Social Computing;2022-11-08

3. Exploring the Utility of Social Content for Understanding Future In-Demand Skills;Proceedings of the ACM on Human-Computer Interaction;2022-11-07

4. Anxiety only makes it worse: Exploring the impact mechanisms of app‐based learning on performance progress;Journal of Computer Assisted Learning;2022-08-23

5. Beyond Risk: Individual Mental Health Trajectories from Large-Scale Social Media Data;Early Detection of Mental Health Disorders by Social Media Monitoring;2022

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