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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) · hlm. 300–315

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

Abstrak

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.

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  • Padjadjaran University
  • Tadulako University
  • Sunan Gunung Djati State Islamic University Bandung
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Rekan penulisOrganisasiArtikel bersama
Dandi SupriadiPadjadjaran University2
Ninis Agustini DamayaniPadjadjaran University2
Hanny HafiarPadjadjaran University2
Rinda Aunillah SiraitPadjadjaran University1
Dadang Rahmat HidayatPadjadjaran University1
Rinda AunillahPadjadjaran University1
Andi Febri HerawatiTadulako University1
Edwin RizalPadjadjaran University1
Maudy Rizkiana PoedjadiPadjadjaran University1
Zakiyatul AmirohPadjadjaran University1
Yanti SetiantiPadjadjaran University1
Indah RamadhanAfiliasi tidak diketahui1
Wahyudi MulyaningratAfiliasi tidak diketahui1
Muhammad Rif’at Al-RaziAfiliasi tidak diketahui1
Betty TresnawatySunan Gunung Djati State Islamic University Bandung1
Nindi AristiPadjadjaran University1
Nofha RinaPadjadjaran University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.yrpipku.com/index.php/jaets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<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>
</oai_dc:dc>