Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Longitudinal Patterns of Online Activity and Social Feedback Are Associated with Current and Change in Quality of Life in Adult Facebook Users

Version 1 : Received: 1 February 2024 / Approved: 2 February 2024 / Online: 2 February 2024 (08:36:03 CET)

A peer-reviewed article of this Preprint also exists.

Marengo, D.; Settanni, M. Longitudinal Patterns of Online Activity and Social Feedback Are Associated with Current and Perceived Changes in Quality of Life in Adult Facebook Users. Data 2024, 9, 51. Marengo, D.; Settanni, M. Longitudinal Patterns of Online Activity and Social Feedback Are Associated with Current and Perceived Changes in Quality of Life in Adult Facebook Users. Data 2024, 9, 51.

Abstract

The aim of the study is to explore how sharing status updated and receiving Likes on Facebook, as a form of positive social feedback, correlates with current and perceived changes in Quality of Life (QoL) Sample consisted of 1577 adult Facebook users (76.3% females; 65.9% aged 18-24, 21.9% aged 25-30, 12.3% aged > 30 years old). The study employed a longitudinal approach, collecting Facebook data from adult users over a 12-month period using the Graph API. Data were divided into 12 monthly segments. Two monthly indicators were calculated: the percentage of textual status updates and the average number of Likes per post. Current and perceived changes in Quality of Life (QoL) were administered as self-report measures. The findings indicated a positive correlation between the frequency of textual Facebook posts and the average received Likes. Furthermore, receivign more Likes was positively associated with a higher current QoL, and perceived improvements in QoL correlated with an increase in Likes over time. The study suggests that online positive social feedback, measured through Likes on Facebook, is associated with both current QoL and perceived improvements in QoL among adult Facebook users. This highlights the potential impact of online social interactions on individual well-being.

Keywords

quality of life; social media; digital traces; structural equation modeling; latent growth modeling

Subject

Social Sciences, Psychology

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