Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users

Camille Ruiz, Kaoru Ito, Shoko Wakamiya, Eiji Aramaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although loneliness is a very familiar emotion, little is known about it. An aspect to explore is the prevalence of loneliness in the connected world that social media sites like Twitter provide. In light of this, this study investigates the Twitter data of users that have expressed loneliness to understand the phenomenon. Since our primary material are tweets, we developed various indices that can measure social activities reflected in online relationships and real life relationship solely through online Twitter data. Through these indices, the relations between social activity and loneliness were investigated. The results show that high lonely users seem to have low online activity, high positive expressions on real life relationships, and narrow ingroups.

Original languageEnglish
Title of host publicationSS-17-01
Subtitle of host publicationArtificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing
PublisherAI Access Foundation
Pages726-733
Number of pages8
ISBN (Electronic)9781577357797
Publication statusPublished - Jan 1 2017
Externally publishedYes
Event2017 AAAI Spring Symposium - Stanford, United States
Duration: Mar 27 2017Mar 29 2017

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-17-01 - SS-17-08

Conference

Conference2017 AAAI Spring Symposium
CountryUnited States
CityStanford
Period3/27/173/29/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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