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A risky investment? Examining the outcomes of emotional investment in Instagram

Lowe-Calverley, EJ ORCID: 0000-0002-0865-2404, Grieve, R ORCID: 0000-0002-5211-4179 and Padgett, C ORCID: 0000-0003-4398-4268 2019 , 'A risky investment? Examining the outcomes of emotional investment in Instagram' , Telematics and Informatics, vol. 45 , pp. 1-11 , doi:

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Recent research demonstrates links between aspects of Instagram use and negative psychologicaloutcomes. It is therefore important to be able to predict the users who may be at a greater risk ofexperiencing negative consequences as a result of their use. Instagram is an immersive platformand peoples’ behaviour on Instagram can be important to their self-concept and self-esteem; usersare potentially deeply emotionally invested in their Instagram use. This paper presents threestudies investigating an Instagram-specific form of emotional investment – Instagram Investment.Study 1 (N = 167) examined Instagram Investment as a predictor of depression, anxiety, andstress, within a series of hierarchical multiple regression models, and demonstrated the potentialutility of Instagram Investment for the prediction of depression and stress. In Study 2 (N = 120)we expanded our understanding of Instagram Investment within the context of self-esteem. Amediation model revealed an indirect effect of number of followers on self-esteem via InstagramInvestment. Finally, in Study 3 (N = 259) we examined the structural properties of the 6 itemsused to measure Instagram Investment using a confirmatory factor analysis. Together, thesestudies demonstrate that Instagram Investment is a new and valuable construct for explaining theway that individuals are impacted by their use of Instagram.

Item Type: Article
Authors/Creators:Lowe-Calverley, EJ and Grieve, R and Padgett, C
Keywords: Instagram investment, emotional investment, social media anxiety, social comparison, self-esteem
Journal or Publication Title: Telematics and Informatics
Publisher: Elsevier Ltd
ISSN: 0736-5853
DOI / ID Number:
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© 2019 Elsevier Ltd. All rights reserved.

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