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An Attempt at an Evolutionary Information Behavior Perspective on Social Media Overuse

An Attempt at an Evolutionary Information Behavior Perspective on Social Media Overuse

Christopher Lueg

Social media overuse and social media addiction are increasingly recognized as health concerns (Cherney 2020). We all have some idea what social media means and why it is so easy to lose time when doomscrolling but pinning down why social media platforms succeed at keeping us engaged is harder than it seems.

Explanations of social media overuse and social media addiction often refer to functional Magnetic Resonance Imaging (fMRI) based studies of the human brain. These types of studies suggest that certain social media activities (such as receiving ‘likes’) lead to an increase of dopamine signals in the brain which is a type of neurotransmitter. These dopamine signals are interpreted as the brain identifying activities like receiving ‘likes’ as positive feedback which means the brain may process activities leading to receiving ‘likes’ as activities that should be repeated. Getting caught up in this feedback loop is seen as contributing to social media overuse and social media addiction.

—Pinning down why social media platforms succeed at keeping us engaged is harder than it seems—

The underlying neuroscience research is still preliminary though. Montag et al. (2023) caution that “[c]ommonly used functional MRI techniques cannot provide insights into neurotransmitter levels or distinct neurotransmitter bursts when a certain brain region ‘lights up’ when receiving a ‘Like’. […] What has been observed is that the reward circuitry (ventral striatum) is more activated when people receive more ‘Likes’ compared with fewer ‘Likes’. (Montag et al. 2023, p1103)

Montag et al. (2023) also emphasize the need for longitudinal studies to be able to determine if excessive social media use is due to brain alterations associated with (prior) social media use or if people who use social media excessively show brain alterations that predisposed them for behaviors like social media overuse. Causality dilemmas are sometimes called chicken or the egg problems when it is unclear what came first: the chicken or the egg.

We explore a different, albeit complementary, explanation for social media overuse which links engaging on social media platforms to human information behavior conceptualized as an evolutionary instinct. When looking at the timescale of human evolution, humans have barely been exposed to ‘modern’ technology-mediated communication (approximate years just to give an idea):

Pre-internet types of technology-mediated communication enabled people to exchange messages over distances, but it was typically one-to-one communication between people that were already connected in one way or another (privately or business-related). Letters and postcards were/are unidirectional, had a single addressee, and generally took quite some time to reach their destination. And while telephone calls are bi-directional and connect people almost instantly these days, like the letters and postcards before them, they typically connect people that are already connected in some way.

Traditional media (including print, broadcasting, television including streaming services) extended one-to-one communication to one-to-many communication even if this description tends to oversimplify actual media production processes.

So-called social media, along with their late 20th century predecessors like bulletin board systems (BBS), Usenet, and Collaborative Web spaces (CoWebs), introduced a fundamentally different communication model which is many-to-many communication (Bruckman 2004).

Many-to-many communication exposes people to ‘messages’ from hundreds, if not thousands and even millions of people – most of whom the recipient does not even know. The magazine The New Yorker captured the typical lack of knowledge about people one may engage with on the internet in their well-known 1993 cartoon On the Internet, nobody knows you’re a dog.

In the context of human information behavior seen as an evolutionary instinct, the novelty of many-to-many communication would constitute a formidable information processing challenge for the human brain. The human brain is not, as often assumed, an optimized problem-solving machine but a “weird agglomeration of ad hoc solutions that have accumulated throughout millions of years of evolutionary history”. Furthermore, for most of their evolutionary history, humans only ever had to deal with relatively small numbers of ‘voices’):

[F]or most of modern Homo sapiens’s hundreds of thousands of years of history we associated mostly with close relatives with the same general appearance, same language, same genes, same environment, and same culture. (Ehrlich 2023, p313)

How does this help make sense of social media overuse? From an evolutionary development point of view, the human brain never had much opportunity to evolve mechanisms to handle a virtually endless stream of the ‘voices’ of somewhat social posts on contemporary social media platforms. So what can a brain do when confronted with a relatively new situation? The brain would need to address any new processing demands (in this case dealing with social media posts) utilizing already existing brain ‘hardware’ which may result in less-than-optimal solutions. This means that the brain may be falling back to processing somewhat social posts as if they are somewhat personal (directed) communication even though most social media posts are not actually aimed at any specific recipient (undirected).

The Sisyphean task of dealing with somewhat social posts is made even harder by social media platforms that figured out ways to hyper-personalize their content. Unlike traditional media, social media platforms can track in real-time every single user interaction with their content (clicks, swipes, time spent with select content, time of the day, current location, the lot). Platforms then use these data points to fine-tune the content and the targeted ads that they push.

The yet-to-be-validated Bean Soup Theory (“Not Everything Is About You Becky”) suggests that “digital platforms condition us to believe that every piece of content must be about us, thereby adding to the dopamine feedback loop described earlier. xkcd‘s Duty Calls cartoon captured the effect by depicting a person feeling the need to engage online because, as they let their significant other know, “someone is wrong on the internet”. The person feels the need to engage regardless of the fact that someone somewhere being wrong about something is happening all the time. The (relative) novelty is that without the internet, they would not know about it, and in most cases, they couldn’t be bothered either.

Revisiting social media overuse from an evolutionary instinct point of view offers a distinct perspective to reconsider what we want from future social media platforms that we are not getting from the current attention-harvesting, ad-pushing variety. Social information spaces including bulletin board bystems (BBS), Usenet newsgroups, collaborative web spaces (CoWebs), and other kinds of online communities existed long before the corporate variety of social media platforms including Myspace, Facebook, and Twitter were founded. Typically custom-built, many of these earlier systems explored design features that were arguably better at supporting actual human information and communication needs. Some random examples of such features include visualizing the (dynamics of small group online interactions) and social media interfaces (as they would be called nowadays) that help reduce not increase the volume of conversational data. The social navigation approach to designing information spaces also brought together a range of more people-centered approaches and inspired some of my own work on visual indicators that highlight discussions that my friends care about, as opposed to what advertisers are interested in. Perhaps it is time to revisit some of these earlier designs with particular regard to assumptions about the value of community that they embodied and to what extent they considered the strengths but also the weaknesses of human evolutionary instincts.

ACKNOWLEDGMENTS

KD, HB, and the Gretchens for their undying support and The Borg for unexpected inspiration.

REFERENCES (also linked in-text)

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Cite this article in APA as: Lueg, C. (2026, July 23). An attempt at an evolutionary information behavior perspective on social media overuse. Information Matters. https://informationmatters.org/2026/07/an-attempt-at-an-evolutionary-information-behavior-perspective-on-social-media-overuse/

Author

  • Christopher Lueg is a professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. Internationally recognized for his research in human computer interaction and information behavior, Lueg has a special interest in embodiment—the view that perception, action, and cognition are intrinsically linked—and what it means when designing for others. Prior to joining the faculty at Illinois, Lueg served as professor of medical informatics at the Bern University of Applied Sciences in Biel/Bienne, Switzerland. He spent almost twenty years as a professor in Australia teaching at the University of Technology, Sydney; Charles Darwin University; and the University of Tasmania, where he co-directed two of the university's research themes, Data, Knowledge and Decisions (DKD) and Creativity, Culture, Society (CCS).

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Christopher Lueg

Christopher Lueg is a professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. Internationally recognized for his research in human computer interaction and information behavior, Lueg has a special interest in embodiment—the view that perception, action, and cognition are intrinsically linked—and what it means when designing for others. Prior to joining the faculty at Illinois, Lueg served as professor of medical informatics at the Bern University of Applied Sciences in Biel/Bienne, Switzerland. He spent almost twenty years as a professor in Australia teaching at the University of Technology, Sydney; Charles Darwin University; and the University of Tasmania, where he co-directed two of the university's research themes, Data, Knowledge and Decisions (DKD) and Creativity, Culture, Society (CCS).