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

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 proceeding › Conference 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 language	English
Title of host publication	SS-17-01
Subtitle of host publication	Artificial 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
Publisher	AI Access Foundation
Pages	726-733
Number of pages	8
ISBN (Electronic)	9781577357797
Publication status	Published - 2017
Externally published	Yes
Event	2017 AAAI Spring Symposium - Stanford, United States Duration: Mar 27 2017 → Mar 29 2017

Publication series

Name	AAAI Spring Symposium - Technical Report
Volume	SS-17-01 - SS-17-08

Conference

Conference	2017 AAAI Spring Symposium
Country/Territory	United States
City	Stanford
Period	3/27/17 → 3/29/17

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Cite this

Ruiz, C., Ito, K., Wakamiya, S., & Aramaki, E. (2017). Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users. In SS-17-01: Artificial 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 (pp. 726-733). (AAAI Spring Symposium - Technical Report; Vol. SS-17-01 - SS-17-08). AI Access Foundation.

Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users. / Ruiz, Camille; Ito, Kaoru; Wakamiya, Shoko et al.
SS-17-01: Artificial 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. AI Access Foundation, 2017. p. 726-733 (AAAI Spring Symposium - Technical Report; Vol. SS-17-01 - SS-17-08).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ruiz, C, Ito, K, Wakamiya, S & Aramaki, E 2017, Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users. in SS-17-01: Artificial 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. AAAI Spring Symposium - Technical Report, vol. SS-17-01 - SS-17-08, AI Access Foundation, pp. 726-733, 2017 AAAI Spring Symposium, Stanford, United States, 3/27/17.

Ruiz C, Ito K, Wakamiya S, Aramaki E. Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users. In SS-17-01: Artificial 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. AI Access Foundation. 2017. p. 726-733. (AAAI Spring Symposium - Technical Report).

Ruiz, Camille ; Ito, Kaoru ; Wakamiya, Shoko et al. / Loneliness in a connected world : Analyzing online activity and expressions on real life relationships of lonely users. SS-17-01: Artificial 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. AI Access Foundation, 2017. pp. 726-733 (AAAI Spring Symposium - Technical Report).

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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.",

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

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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