Life is not Always Depressing: Exploring the Happy Moments of People Diagnosed with Depression

04/28/2022
by   Ana-Maria Bucur, et al.
0

In this work, we explore the relationship between depression and manifestations of happiness in social media. While the majority of works surrounding depression focus on symptoms, psychological research shows that there is a strong link between seeking happiness and being diagnosed with depression. We make use of Positive-Unlabeled learning paradigm to automatically extract happy moments from social media posts of both controls and users diagnosed with depression, and qualitatively analyze them with linguistic tools such as LIWC and keyness information. We show that the life of depressed individuals is not always bleak, with positive events related to friends and family being more noteworthy to their lives compared to the more mundane happy events reported by control users.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/04/2022

Detection of Dangerous Events on Social Media: A Perspective Review

Social media is an essential gateway of information and communication fo...
research
08/06/2018

Using Linguistic Cues for Analyzing Social Movements

With the growth of social media usage, social activists try to leverage ...
research
12/22/2021

Travel Guides for Creative Tourists, Powered by Geotagged Social Media

Many modern tourists want to know about everyday life and spend time lik...
research
02/08/2021

Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup.

Using archived social media data, the language signatures of people goin...
research
08/17/2023

Characterizing Information Seeking Events in Health-Related Social Discourse

Social media sites have become a popular platform for individuals to see...
research
01/23/2018

HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments

The science of happiness is an area of positive psychology concerned wit...
research
10/10/2022

Social Media Personal Event Notifier Using NLP and Machine Learning

Social media apps have become very promising and omnipresent in daily li...

Please sign up or login with your details

Forgot password? Click here to reset