2023
DOI: 10.1016/j.chb.2023.107970
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Do socially anxious and non-anxious individuals differ in their social media use?

Sonja Biglbauer,
Anita Lauri Korajlija
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Cited by 8 publications
(3 citation statements)
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“…However, there were no effects of fear of missing out or feeling anxious or nervous to share on SM with SI at the between-person level, which may be more closely associated with anxiety than SI (Biglbauer & Lauri Korajlija, 2023;Charmaraman et al, 2022). These results are consistent with previous research that has highlighted how negative SM experiences, like cyberbullying (John et al, 2018;Van Geel et al, 2014), are associated with self-harm or suicidal behaviors in teens, but extends these findings to other types of negative SM experiences (Nesi et al, 2019).…”
Section: Discussionsupporting
confidence: 88%
“…However, there were no effects of fear of missing out or feeling anxious or nervous to share on SM with SI at the between-person level, which may be more closely associated with anxiety than SI (Biglbauer & Lauri Korajlija, 2023;Charmaraman et al, 2022). These results are consistent with previous research that has highlighted how negative SM experiences, like cyberbullying (John et al, 2018;Van Geel et al, 2014), are associated with self-harm or suicidal behaviors in teens, but extends these findings to other types of negative SM experiences (Nesi et al, 2019).…”
Section: Discussionsupporting
confidence: 88%
“…En primer lugar, a medida que aumentaban los niveles de ansiedad también lo hacían los de comparación social ascendente, tal como sugerían otras investigaciones previas (Biglbauer & Lauri Korajlija, 2023;Butzer & Kuiper, 2006;McCarthy & Morina, 2020). Esta asociación podría explicarse por los elevados niveles de presión percibida que suelen experimentar las personas durante las etapas de la adolescencia.…”
Section: Discussionunclassified
“…Numerous studies have delved into the association between the frequency and duration of social media use and the symptoms of depression, [20][21][22] as well as examining the impact of different types of user engagement, such as active and passive use, on mental health. [23][24][25] Additionally, substantial research has focused on analyzing the linguistic characteristics of content shared by individuals with depression on social platforms. 26,27 Efforts have also been made to identify and predict depressive symptoms using technologies like natural language processing.…”
Section: Introductionmentioning
confidence: 99%