# Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning

arXiv: https://arxiv.org/abs/1909.06959 · HTML: https://mlsanity.com/paper/1909.06959/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Sep 2019.

## Built on by (most cited first, 1 of 1)

- [SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter](https://mlsanity.com/paper/2207.14535/) (2022)

## Abstract (arXiv)

This study provides a predictive measurement tool to examine perceived anxiety from a longitudinal perspective, using a non-intrusive machine learning approach to scale human rating of anxiety in microblogs. Results suggest that our chosen machine learning approach depicts perceived user state-anxiety fluctuations over time, as well as mean trait anxiety. We further find a reverse relationship between perceived anxiety and outcomes such as social engagement and popularity. Implications on the individual, organizational, and societal levels are discussed.