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Big Data and Netnography Analysis of Mental Health on Twitter/X: Evidence From Indonesia

Journal of Applied Engineering and Technological Science (JAETS) · Vol. 6 No. 1 (2024) · pp. 300–315

DOI
10.37385/jaets.v6i1.6226
ISSN
2715-6079, 2715-6087
Published
2024-12-15
Publisher
Yayasan Riset dan Pengembangan Intelektual (YRPI)
Language
en

Abstract

Digital traces of mental health conversations on social media X have become a new culture, especially for the young generation. This study aimed to explain the network, themes and comment of social media discussion posts about mental health in Indonesia. This study has focused on each conversation in the form of tweets using big data analysis from posts with containing keyword related and specific criteria on the theme of mental health. This research was collected 15,200 mental health-themed discussions on X. Further, the researcher conducted a selection based on engagement and specific criteria through the NoLimit tool in 2021. A total of 4969 threads were analyzed further. As a result, researchers found a network that formed 3 clusters, namely the Stress cluster, Depression cluster, and Bipolar cluster. Apart from that, three big themes were found that represent every conversation on social media X in Indonesia, namely, (1) The Story of Survivors, (2) Mental Health as a Trend and Fashion, (3) Stress, Anxiety, or just a Gerd? Through the study of netnography, it is revealed that social media serves as a community's backbone while also perpetuating stigma related to mental health issues. Mental health in Indonesia is still an issue that does not get serious attention, even though the number of cases of mental disorders continues to increase.

Keywords

Collaboration network of the authors

22 authors · 53 co-authorship links · 3 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Padjadjaran University
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dandi SupriadiPadjadjaran University2
Deddy MulyanaPadjadjaran University2
Dadang Rahmat HidayatPadjadjaran University2
Tine SilvanaPadjadjaran University2
Siti KarlinahPadjadjaran University2
Asep SuryanaPadjadjaran University2
Hanny HafiarPadjadjaran University2
Rinda Aunillah SiraitPadjadjaran University1
Dadang Rahmat HidayatPadjadjaran University1
Rinda AunillahPadjadjaran University1
Maudy Rizkiana PoedjadiPadjadjaran University1
Indah RamadhanAffiliation unknown1
Wahyudi MulyaningratAffiliation unknown1
Betty TresnawatyAffiliation unknown1
Muhammad Rif’at Al-RaziAffiliation unknown1
Nindi AristiAffiliation unknown1
Ninis Agustini DamayaniPadjadjaran University1
Nofha RinaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.yrpipku.com/index.php/jaets/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Big Data and Netnography Analysis of Mental Health on Twitter/X: Evidence From Indonesia</dc:title>
	<dc:creator xml:lang="en">Mutia, Tika</dc:creator>
	<dc:creator xml:lang="en">Suminar, Jenny Ratna</dc:creator>
	<dc:creator xml:lang="en">Dida, Susanne</dc:creator>
	<dc:creator xml:lang="en">Agustin, Herlina</dc:creator>
	<dc:subject xml:lang="en">Big Data</dc:subject>
	<dc:subject xml:lang="en">Mental Health</dc:subject>
	<dc:subject xml:lang="en">Netnography</dc:subject>
	<dc:subject xml:lang="en">Thread</dc:subject>
	<dc:subject xml:lang="en">X</dc:subject>
	<dc:description xml:lang="en">Digital traces of mental health conversations on social media X have become a new culture, especially for the young generation. This study aimed to explain the network, themes and comment of social media discussion posts about mental health in Indonesia. This study has focused on each conversation in the form of tweets using big data analysis from posts with containing keyword related and specific criteria on the theme of mental health. This research was collected 15,200 mental health-themed discussions on X. Further, the researcher conducted a selection based on engagement and specific criteria through the NoLimit tool in 2021. A total of 4969 threads were analyzed further. As a result, researchers found a network that formed 3 clusters, namely the Stress cluster, Depression cluster, and Bipolar cluster. Apart from that, three big themes were found that represent every conversation on social media X in Indonesia, namely, (1) The Story of Survivors, (2) Mental Health as a Trend and Fashion, (3) Stress, Anxiety, or just a Gerd? Through the study of netnography, it is revealed that social media serves as a community's backbone while also perpetuating stigma related to mental health issues. Mental health in Indonesia is still an issue that does not get serious attention, even though the number of cases of mental disorders continues to increase.</dc:description>
	<dc:publisher xml:lang="en">Yayasan Riset dan Pengembangan Intelektual (YRPI)</dc:publisher>
	<dc:date>2024-12-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.yrpipku.com/index.php/jaets/article/view/6226</dc:identifier>
	<dc:identifier>10.37385/jaets.v6i1.6226</dc:identifier>
	<dc:source xml:lang="en">Journal of Applied Engineering and Technological Science (JAETS); Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS); 300-315</dc:source>
	<dc:source>2715-6079</dc:source>
	<dc:source>2715-6087</dc:source>
	<dc:source>10.37385/jaets.v6i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.yrpipku.com/index.php/jaets/article/view/6226/3692</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Applied Engineering and Technological Science (JAETS)</dc:rights>
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