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Anxiety-Related Content on Instagram and Twitter: A Mixed Methods Analysis of Mental Health Communication and Information Sharing

  • Approximately four percent of the world’s population suffers from anxiety disorders. This makes anxiety disorders one of the most common mental illnesses and a significant global health concern. As social media is a primary source of health information and communication, this study aims at investigating how the hashtag #anxiety is used on Twitter and Instagram. The hashtag #anxiety was chosen because it is commonly used by the social media community to post or tweet about anxiety disorders, such as social anxiety, thus providing broad access to the data. We followed a quantitative approach and gathered open data from December 24th, 2019 to January 1st, 2020. Furthermore, we used a qualitative content analysis to detect topics and patterns within the data. Coding focused on identifying goals, motivations, and feelings concerning anxiety (disorders) and information sharing. Findings show that content and appearance of posts are strongly shaped by characteristics of the platforms. Additionally, the results unveil that both platformsApproximately four percent of the world’s population suffers from anxiety disorders. This makes anxiety disorders one of the most common mental illnesses and a significant global health concern. As social media is a primary source of health information and communication, this study aims at investigating how the hashtag #anxiety is used on Twitter and Instagram. The hashtag #anxiety was chosen because it is commonly used by the social media community to post or tweet about anxiety disorders, such as social anxiety, thus providing broad access to the data. We followed a quantitative approach and gathered open data from December 24th, 2019 to January 1st, 2020. Furthermore, we used a qualitative content analysis to detect topics and patterns within the data. Coding focused on identifying goals, motivations, and feelings concerning anxiety (disorders) and information sharing. Findings show that content and appearance of posts are strongly shaped by characteristics of the platforms. Additionally, the results unveil that both platforms serve as mediua for sharing information regarding mental health matters, such as personal experiences, challenges, and coping strategies, thereby cultivating a sense of community and support among users dealing with comparable issues. Twitter predominantly functions for real-time updates, in-situ interactions, and emergency communication, while Instagram's visual nature appears to offer a venue for creative expression through images and captions, illuminating the emotional and personal narratives of mental health journeys.zeige mehrzeige weniger

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Verfasserangaben:Leyla DewitzORCiDGND, Judith AckermannORCiDGND
URN:urn:nbn:de:kobv:525-32201
DOI:https://doi.org/10.34678/opus4-3220
übersetzter Titel (Deutsch):Angst-bezogene Inhalte auf Instagram und Twitter: Eine Mixed-Methods-Analyse der Kommunikation und des Informationsaustauschs im Bereich psychische Gesundheit
Verlagsort:Potsdam
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):05.09.2023
Datum der Erstveröffentlichung:05.09.2023
Veröffentlichende Institution:Fachhochschule Potsdam
Datum der Freischaltung:05.09.2023
Freies Schlagwort / Tag:Anxiety Disorder; Health Communication; Mental Health; Social Anxiety Disorder
Health Information Sharing
GND-Schlagwort:Psychische Gesundheit; Angststörung; Gesundheitskommunikation; Social Media; Instagram; Twitter <Softwareplattform>; Benutzerverhalten
Erste Seite:1
Letzte Seite:28
Fachbereiche und Zentrale Einrichtungen:FB1 Sozial- und Bildungswissenschaften
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
300 Sozialwissenschaften / 300 Sozialwissenschaften, Soziologie
Lizenz (Deutsch):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
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