Summary: Building social connections online changes how people allocate their attention: networking performance improves while engagement with and retention of actual content declines.
A collaborative study shows that joining online communities or following others shifts cognitive effort from “content learning” toward “social mapping.” This shift is strongest in people with higher working memory, who tend to rely on their network as an external repository for information.
Key Research Findings
- Content–Social Trade-Off: Forming connections in simulated social media settings produced about a 40% drop in content recall (who knows what) while increasing recall of social relationships (who knows who) by roughly 65%.
- The Sharpness Effect: Participants with higher working memory capacity showed an even larger shift — around a 50% reduction in remembering content paired with a roughly 150% improvement in remembering social links.
- Strategic Cognitive Efficiency: High-capacity individuals appear to redirect effort away from memorizing facts and toward mapping who holds information so they can retrieve it through the network later.
- External Memory Use: When people treat their social network as an external memory system, the brain reduces the effort devoted to independent knowledge encoding.
- Study Sample: Approximately 1,000 adults, ages 18 to 77, participated across five simulated social media experiments.
Source: University of Bristol
Overview
New research from the University of Bristol, carried out in collaboration with the University at Buffalo, finds that forming social ties in online environments leads people to prioritize who is connected to whom over the factual content those people share. Rather than absorbing content, many users — particularly those with stronger working memory — focus on mapping relationships that can be used later to retrieve information.
Lead author Dr Esther Kang, Lecturer in Marketing at the University of Bristol, explains: “When you follow someone on a platform or join a community, you might expect to learn more from their posts. Instead, people often invest cognitive resources in understanding the social structure — who is connected to whom — and rely on those links to access information at a later time.”
The research used five experimental simulations of social media interactions. Participants joined groups, followed pages, or formed friend connections and then were tested on two types of memory: content memory (“who knows what”) and relational memory (“who knows who”).
Across studies, joining communities reliably reduced participants’ recall of content while improving their memory for social connections. For example, overall accuracy for identifying who knew specific facts fell by about 40% after forming connections, while accuracy for identifying social ties rose by about 65%.
Dr Kang emphasizes that this is not simple inattention or laziness among sharper minds. “People with higher working memory did show the largest shift away from content and toward network structure. Rather than absorb everything, they allocate mental effort strategically so they can leverage their network as an information store,” she says.
Study co-author Dr Arun Lakshmanan, Associate Professor of Marketing at the University at Buffalo, notes the implications for educators, marketers, and platform designers: “Increasing connections or follower counts alone will not necessarily increase meaningful engagement with content. To encourage deeper processing, systems should promote active, time-sensitive, or interactive tasks that force immediate engagement with content instead of passive filing.”
Key Question Answered:
A: Yes, in terms of remembering specific facts. People with stronger working memory tend to prioritize remembering who holds information rather than the facts themselves, becoming more skilled at navigating social connections while reducing deep content retention.
A: Not necessarily. The research suggests shifting use of cognitive resources: from independent knowledge formation toward mastering the social landscape and treating connections as an external memory resource.
A: Simply increasing network size won’t suffice. The study recommends designing content and interactions that require immediate, active processing—examples include time-limited posts, interactive quizzes, or collaborative tasks that demand content engagement rather than passive bookmarking.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- The journal paper was reviewed in full for accuracy.
- Additional context was added by editorial staff.
About this memory and social media research news
Author: Victoria Tagg
Source: University of Bristol
Contact: Victoria Tagg – University of Bristol
Image: The image is credited to Neuroscience News
Original Research: Open access. “Tracking connections, not content: How working memory shapes content and social learning in online networks” by Esther Kang and Arun Lakshmanan. Journal of Experimental Social Psychology. DOI: 10.1016/j.jesp.2026.104925
Abstract
Tracking connections, not content: How working memory shapes content and social learning in online networks
How do people navigate and prioritize social information in online networks? Although social platforms deliver continuous content streams, they also form complex webs of relationships. Across five experiments, this research shows that individuals with greater working memory capacity do not necessarily learn more from content. Instead, they direct attention toward mapping who is connected to whom, effectively treating the network as an external social memory.
This reallocation of attention reduces engagement with content while improving encoding of relational structures. The findings reveal a counterintuitive role for working memory in digital social cognition: it supports adaptive strategies that optimize learning about social connections rather than immediate content retention, advancing our understanding of attention and memory in online social learning.