Looking for trouble: A multilevel analysis of disagreeable contacts in online social networks. (May 2017)

• Record Type: Journal Article
• Authors: Buglass, Sarah L.; Binder, Jens F.; Betts, Lucy R.; Underwood, Jean D.M.
• Is Part Of: Computers in human behavior. Volume 70(2017)
• Page Start: 234
• Page End: 243
• Publication Date: 2017-05
• Subjects: Online vulnerability -- Online social networks -- Binary logistic multilevel analysis -- Network disagreement -- Online risk; Interactive computer systems -- Periodicals; Man-machine systems -- Periodicals; 004.019
• DOI: 10.1016/j.chb.2016.12.078
• Languages: English
• ISSNs: 0747-5632

Abstract

Abstract: Identifying characteristics of troublemakers in online social networks, those contacts who violate norms via disagreeable or unsociable behaviour, is vital for supporting preventative strategies for undesirable, psychologically damaging online interactions. To date characterising troublemakers has relied on self-reports focused on the network holder, largely overlooking the role of network friends. In the present study, information was obtained on 5113 network contacts from 52 UK-based Facebook users (age range 13–45; 75% female) using digitally derived data and in-depth network surveys. Participants rated their contacts in terms of online disagreement, relational closeness and interaction patterns. Characteristics of online troublemakers were explored using binary logistic multilevel analysis. Instances of online disagreement were most apparent in the networks of emerging adults (19–21 years). Contacts were more likely to be identified as online troublemakers if they were well connected within the network. Rates of offline and Facebook exchanges interacted such that contacts known well offline but with low rates of Facebook communication were more likely to be identified as troublemakers. This may indicate that users were harbouring known troublemakers in a bid to preserve offline relationships and reputational status. Implications are discussed in terms of an individual's susceptibility to undesirable encounters online. Highlights: Identifies characteristics of troublemakers in online social networks. Combines self-report data with real-world digital characteristics. Multilevel analysis of 5113 network contacts from 52 UK-based Facebook users. Online disagreement most apparent on the networks of young adults. Troublemakers show a tendency to be well connected individuals.