A temporal analysis of depression related tweets: a case study in Finland

Jonas Tana; Bao Cai; Leonardo Espinosa-Leal

doi:10.3384/ecp187025

A temporal analysis of depression related tweets: a case study in Finland

Jonas Tana^*, Bao Cai, Leonardo Espinosa-Leal

^*Corresponding author for this work

Not published at VTT

Arcada University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Depression is one of the most burdensome diseases in the world. A problem that depression presents, is the fact that it is connected with a high rate of unwillingness to seek professional help, and therefore many aspects of depression go unreported, affecting our understanding of it. Nowadays, individuals turn to online platforms for help and support, which creates vast amounts of data. This infodemiological study utilised data from Twitter to identify temporal patterns of behaviours related to depression in Finland. The findings of this study can be used to improve the impact of public health measures in relation to depression.

Original language	English
Title of host publication	Proceedings of the 18th Scandinavian Conference on Health Informatics
Editors	André Henriksen, Elia Gabarron, Vivian Vimarlund
Publisher	Linköping University Electronic Press
Pages	147-153
ISBN (Electronic)	978-91-7929-344-4
DOIs	https://doi.org/10.3384/ecp187025
Publication status	Published - 22 Aug 2022
MoE publication type	A4 Article in a conference publication
Event	18th Scandinavian Conference on Health Informatics, SHI 2022 - Tromsø, Norway Duration: 22 Aug 2022 → 24 Aug 2022 Conference number: 18 https://uit.no/tavla/artikkel/764177/scandinavian_conference_on_health_informatics

Publication series

Series	Linköping Electronic Conference Proceedings
Volume	187
ISSN	1650-3686

Conference

Conference	18th Scandinavian Conference on Health Informatics, SHI 2022
Abbreviated title	SHI 2022
Country/Territory	Norway
City	Tromsø
Period	22/08/22 → 24/08/22
Internet address	https://uit.no/tavla/artikkel/764177/scandinavian_conference_on_health_informatics

Access to Document

10.3384/ecp187025Licence: CC BY

Cite this

Tana, Jonas ; Cai, Bao ; Espinosa-Leal, Leonardo. / A temporal analysis of depression related tweets : a case study in Finland. Proceedings of the 18th Scandinavian Conference on Health Informatics. editor / André Henriksen ; Elia Gabarron ; Vivian Vimarlund. Linköping University Electronic Press, 2022. pp. 147-153 (Linköping Electronic Conference Proceedings, Vol. 187).

@inproceedings{924b8f35dbe54224b7fbc1ed822ff651,

title = "A temporal analysis of depression related tweets: a case study in Finland",

abstract = "Depression is one of the most burdensome diseases in the world. A problem that depression presents, is the fact that it is connected with a high rate of unwillingness to seek professional help, and therefore many aspects of depression go unreported, affecting our understanding of it. Nowadays, individuals turn to online platforms for help and support, which creates vast amounts of data. This infodemiological study utilised data from Twitter to identify temporal patterns of behaviours related to depression in Finland. The findings of this study can be used to improve the impact of public health measures in relation to depression.",

author = "Jonas Tana and Bao Cai and Leonardo Espinosa-Leal",

year = "2022",

month = aug,

day = "22",

doi = "10.3384/ecp187025",

language = "English",

series = "Link{\"o}ping Electronic Conference Proceedings",

publisher = "Link{\"o}ping University Electronic Press",

pages = "147--153",

editor = "Andr{\'e} Henriksen and Elia Gabarron and Vivian Vimarlund",

booktitle = "Proceedings of the 18th Scandinavian Conference on Health Informatics",

address = "Sweden",

note = "18th Scandinavian Conference on Health Informatics, SHI 2022, SHI 2022 ; Conference date: 22-08-2022 Through 24-08-2022",

url = "https://uit.no/tavla/artikkel/764177/scandinavian\_conference\_on\_health\_informatics",

}

Tana, J, Cai, B & Espinosa-Leal, L 2022, A temporal analysis of depression related tweets: a case study in Finland. in A Henriksen, E Gabarron & V Vimarlund (eds), Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping University Electronic Press, Linköping Electronic Conference Proceedings, vol. 187, pp. 147-153, 18th Scandinavian Conference on Health Informatics, SHI 2022, Tromsø, Norway, 22/08/22. https://doi.org/10.3384/ecp187025

A temporal analysis of depression related tweets: a case study in Finland. / Tana, Jonas; Cai, Bao; Espinosa-Leal, Leonardo.
Proceedings of the 18th Scandinavian Conference on Health Informatics. ed. / André Henriksen; Elia Gabarron; Vivian Vimarlund. Linköping University Electronic Press, 2022. p. 147-153 (Linköping Electronic Conference Proceedings, Vol. 187).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A temporal analysis of depression related tweets

T2 - 18th Scandinavian Conference on Health Informatics, SHI 2022

AU - Tana, Jonas

AU - Cai, Bao

AU - Espinosa-Leal, Leonardo

N1 - Conference code: 18

PY - 2022/8/22

Y1 - 2022/8/22

N2 - Depression is one of the most burdensome diseases in the world. A problem that depression presents, is the fact that it is connected with a high rate of unwillingness to seek professional help, and therefore many aspects of depression go unreported, affecting our understanding of it. Nowadays, individuals turn to online platforms for help and support, which creates vast amounts of data. This infodemiological study utilised data from Twitter to identify temporal patterns of behaviours related to depression in Finland. The findings of this study can be used to improve the impact of public health measures in relation to depression.

AB - Depression is one of the most burdensome diseases in the world. A problem that depression presents, is the fact that it is connected with a high rate of unwillingness to seek professional help, and therefore many aspects of depression go unreported, affecting our understanding of it. Nowadays, individuals turn to online platforms for help and support, which creates vast amounts of data. This infodemiological study utilised data from Twitter to identify temporal patterns of behaviours related to depression in Finland. The findings of this study can be used to improve the impact of public health measures in relation to depression.

U2 - 10.3384/ecp187025

DO - 10.3384/ecp187025

M3 - Conference article in proceedings

T3 - Linköping Electronic Conference Proceedings

SP - 147

EP - 153

BT - Proceedings of the 18th Scandinavian Conference on Health Informatics

A2 - Henriksen, André

A2 - Gabarron, Elia

A2 - Vimarlund, Vivian

PB - Linköping University Electronic Press

Y2 - 22 August 2022 through 24 August 2022

ER -

A temporal analysis of depression related tweets: a case study in Finland

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this