“Too much to handle”: Impact of mobile social networking sites on information overload, depressive symptoms, and well-being

• Published in: Computers in human behavior Vol. 105; p. 106217
• Main Authors: Matthes, Jörg, Karsay, Kathrin, Schmuck, Desirée, Stevic, Anja
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.04.2020; Elsevier Science Ltd
• Subjects: Adults; Correlation analysis; Depressive symptoms; Information overload; Message processing; Older people; Panel survey; Smartphone use; Social networking sites; Social networks; Social research; Well-being; Wireless networks; Social networking sites; Depressive symptoms; Information overload; Well-being; Panel survey; Smartphone use
• ISSN: 0747-5632; 1873-7692
• DOI: 10.1016/j.chb.2019.106217

Mobile social networking sites (SNS) are frequently theorized to lead to perceived information overload, which may affect the well-being of individuals in negative ways. However, the available body of research is mainly based on cross-sectional data. Based on the limited capacity model of motivated mediated message processing (Lang, 2002), we tested the over-time relationships between mobile SNS use, information overload, depressive symptoms, and well-being in a two-wave panel study. Using a quota sample of adults (NT2 = 461), we found that YouTube use increased perceived information overload for all individuals. WhatsApp and Snapchat use did only lead to perceived information overload for older adults. Facebook as well as Instagram use were unrelated to perceived information overload. Furthermore, perceptions of information overload were a significant predictor of depressive symptoms, which in turn, negatively influenced individuals’ well-being over time. Implications of these findings are discussed. •YouTube use increased perceived information overload over time.•WhatsApp and Snapchat use only increased information overload for older adults.•Facebook as well as Instagram use were unrelated to information overload.•Information overload was significantly related to depressive symptoms over time.•Depressive symptoms decreased overall well-being over time.