
Redesigning social media to swimsuit completely different wants of users could make their time on-line extra centered, in keeping with new analysis by College of Bristol lecturers.
The research, introduced on the Convention on Human Elements in Computing Programs in Yokohama, Japan, means that the important thing to having a optimistic expertise on-line is discovering the appropriate stage of private funding—neither an excessive amount of nor too little.
Carried out by researchers analyzing digital self-regulation, they reveal distinct person sorts and suggest that social media platforms could be transformed to assist extra intentional use.
Lead creator Dan Bennett from Bristol’s School of Science and Engineering defined, “Many individuals really feel the necessity to higher management their time on social media. Whereas social media provides leisure, social connection and alternatives for private development, folks really feel the necessity to higher manage their engagement, to keep away from losing time and participating in a manner that damages their temper and well-being.
“We all know that one measurement doesn’t match all for digital self-control. Individuals are affected in another way by their social media use and have completely different wants for managing their time on-line. Nevertheless, we have now lacked knowledge on what drives completely different experiences and wants, and learn how to adapt social media designs to swimsuit these wants.”
This research launched a person-centered machine studying method to categorize social media users into teams based mostly on their motivations and behaviors:
- Socially-steered users really feel strongly constrained by peer expectations and pressures.
- Computerized browsers generally discover themselves participating with out thought or function, discover their social media use “meaningless,” and wrestle with overuse and remorse.
- Deeply invested users do join social media to non-public that means, identification and objectives, however once more wrestle with overuse and remorse.
- Goldilocks users see private worth of their social media use, however don’t make investments a lot of themselves in it. These users skilled the bottom ranges of remorse.
This analysis highlights the potential for personalised digital instruments to help users self-regulate their social media habits. As an alternative of a one-size-fits-all method, platforms could introduce personalized features that assist completely different person wants, corresponding to serving to compulsive users regain intentional management, or serving to socially constrained users stability the pressures and advantages of social connection.
The findings have been based mostly on a survey of 500 contributors, utilizing psychological assessments and person-centered machine studying to establish distinct engagement kinds.
Bennett added, “We establish various kinds of users on social media—together with those that browse with out robust intentionality, these deeply invested of their on-line lives, and those that see worth in utilizing social media, however retain private distance. Whereas the latter group arguably has the perfect outcomes general, every group presents distinctive challenges for self-regulation.
“By tailoring social media designs to those completely different wants, platforms could help users keep in management and make their time on-line extra purposeful and valued.”
The implications of this work attain past social media design into expertise use extra broadly. In one other latest paper, the authors discovered comparable groupings of users throughout a variety of applied sciences, together with video games, and applied sciences for private well-being.
Collectively, these outcomes level to a data-driven method to design that may help promote sustainable engagement linked to issues that matter to the person, reasonably than simply maximizing display time.
The following part of this work will discover how social media platforms can establish completely different person teams, and adapt interfaces to help users have interaction in a manner that aligns with their private well-being.
Extra info:
Daniel Bennett et al, Past Intrinsic Motivation: The Function of Autonomous Motivation in Person Expertise, ACM Transactions on Pc-Human Interplay (2024). DOI: 10.1145/3689044
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Personalized social media features could help users manage time and well-being (2025, Might 7)
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