# Tweet Moodifier: Towards giving emotional awareness to Twitter users

**Authors:** Belen Saldias, Rosalind W. Picard

arXiv: 1907.11741 · 2019-12-09

## TL;DR

This paper introduces T-Moodifier, a Chrome extension that helps Twitter users become more aware of their emotional content, leading to increased neutrality and better emotional understanding in their posts.

## Contribution

The study presents a novel tool, T-Moodifier, and provides empirical evidence of its effectiveness in enhancing emotional awareness among Twitter users.

## Key findings

- Users produced more neutral content after using T-Moodifier
- Participants gained better confidence in identifying their emotions
- T-Moodifier facilitated emotional reflection on Twitter behavior

## Abstract

Emotional contagion in online social networks has been of great interest over the past years. Previous studies have focused mainly on finding evidence of affect contagion in homophilic atmospheres. However, these studies have overlooked users' awareness of the sentiments they share and consume online. In this paper, we present an experiment with Twitter users that aims to help them better understand which emotions they experience on this social network. We introduce Tweet Moodifier (T-Moodifier), a Google Chrome extension that enables Twitter users to filter and make explicit (through colored visual marks) the emotional content in their News Feed. We compare behavioral changes between 55 participants and 5089 of their public "friends." The comparison period spans from two weeks before installing T-Moodifier to one week thereafter. The results suggest that the use of T-Moodifier might help Twitter users increase their emotional awareness: T-Moodifier users who had access to emotional statistics about their posts produced a significantly higher percentage of neutral content. This behavioral change suggests that people could behave differently while using real-time mechanisms that increase their affect reflection. Also, post-experience, those who completed both pre- and post-surveys could assert more confidently the main emotions they shared and perceived on Twitter. This shows T-Moodifier's potential to effectively make users reflect on their News Feed.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1907.11741/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1907.11741/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/1907.11741/full.md

---
Source: https://tomesphere.com/paper/1907.11741