A New, More Rigorous Study Confirms: The More You Use Facebook, the Worse You Feel
The challenge is that most of the work on social interaction has been conducted using “real world,” face-to-face social networks, in contrast to the types of online relationships that are increasingly common. So, while we know that old-fashioned social interaction is healthy, what about social interaction that is completely mediated through an electronic screen? When you wake up in the morning and tap on that little blue icon, what impact does it have on you?
Prior research has shown that the use of social media may detract from face-to-face relationships, reduce investment in meaningful activities, increase sedentary behavior by encouraging more screen time, lead to internet addiction, and erode self-esteem through unfavorable social comparison. Self-comparison can be a strong influence on human behavior, and because people tend to display the most positive aspects of their lives on social media, it is possible for an individual to believe that their own life compares negatively to what they see presented by others. But some skeptics have wondered if perhaps people with lower well-being are more likely to use social media, rather than social media causing lower well-being. Moreover, other studies have found that social media use has a positive impact on well-being through increased social support and reinforcement of real world relationships.
We wanted to get a clearer picture of the relationship between social media use and well-being. In our study, we used three waves of data from 5,208 adults from a national longitudinal panel maintained by the Gallup organization, coupled with several different measures of Facebook usage, to see how well-being changed over time in association with Facebook use. Our measures of well-being included life satisfaction, self-reported mental health, self-reported physical health, and body-mass index (BMI). Our measures of Facebook use included liking others’ posts, creating one’s own posts, and clicking on links. We also had measures of respondents’ real-world social networks. In each wave, respondents were asked to name up to four friends with whom they discuss important matters and up to four friends with whom they spend their free time, so that each participant could name up to a total of eight unique individuals.
Our approach had three strengths that set it apart from most of the previous work on the topic. First, we had three waves of data for many of our respondents over a period of two years. This allowed us to track how changes in social media use were associated with changes in well-being. Most studies done to date only use one period of data, limiting interpretations of conclusions to simple associations.
Second, we had objective measures of Facebook use, pulled directly from participants’ Facebook accounts, rather than measures based on a person’s self-report. Third, in addition to the Facebook data, we had information regarding the respondents’ real-world social networks, which would allow us to directly compare the two influences (face-to-face networks and online interactions). Of course, our study has limitations too, including that we could not be certain about how fully representative it was because not everyone in the Gallup sample allowed us access to their Facebook data.
Overall, our results showed that, while real-world social networks were positively associated with overall well-being, the use of Facebook was negatively associated with overall well-being. These results were particularly strong for mental health; most measures of Facebook use in one year predicted a decrease in mental health in a later year. We found consistently that both liking others’ content and clicking links significantly predicted a subsequent reduction in self-reported physical health, mental health, and life satisfaction.
Our models included measures of real-world networks and adjusted for baseline Facebook use. When we accounted for a person’s level of initial well-being, initial real-world networks, and initial level of Facebook use, increased use of Facebook was still associated with a likelihood of diminished future well-being. This provides some evidence that the association between Facebook use and compromised well-being is a dynamic process.
Although we can show that Facebook use seems to lead to diminished well-being, we cannot definitively say how that occurs. We did not see much difference between the three types of activity we measured — liking, posting, and clicking links, (although liking and clicking were more consistently significant) — and the impact on the user. This was interesting, because while we expected that “liking” other people’s content would be more likely to lead to negative self-comparisons and thus decreases in well-being, updating one’s own status and clicking links seemed to have a similar effect (although the nature of status updates can ostensibly be the result of social comparison-tailoring your own Facebook image based on how others will perceive it). Overall our results suggests that well-being declines are also matter of quantity of use rather than only quality of use. If this is the case, our results contrast with previous research arguing that the quantity of social media interaction is irrelevant, and that only the quality of those interactions matter.
These results then may be relevant for other forms of social media. While many platforms expose the user to the sort of polished profiles of others that can lead to negative self-comparison, the issue of quantity of usage will be an issue for any social media platform. While screen time in general can be problematic, the tricky thing about social media is that while we are using it, we get the impression that we are engaging in meaningful social interaction. Our results suggest that the nature and quality of this sort of connection is no substitute for the real world interaction we need for a healthy life.
The full story when it comes to online social media use is surely complex. Exposure to the carefully curated images from others’ lives leads to negative self-comparison, and the sheer quantity of social media interaction may detract from more meaningful real-life experiences. What seems quite clear, however, is that online social interactions are no substitute for the real thing.
Holly B. Shakya is an Assistant Professor of Global Public Health at UC San Diego. She specializes in social network analysis and social norms theory, and is currently on an NIH funded project to understand the social network and social normative determinants of adolescent fertility in the developing world.
Nicholas A. Christakis directs the Human Nature Lab at Yale University and is the Co-Director of the Yale Institute for Network Science. He is the Sol Goldman Family Professor of Social and Natural Science, appointed in the Departments of Sociology, Medicine, Ecology and Evolutionary Biology, and Bioengineering at Yale University.