Thread: 1. I join emerging consensus that “screen time” is not well-linked to mental health problems for teens. Yet @jean_twenge and I find that most studies that clear “screen time” do not clear social media for girls. Great summary by Markham Heid:
2. I've been persuaded by debate & discussion with @candice_odgers, @CJFerguson1111, @OrbenAmy & @ShuhBillSkee that some forms of “screen time” are good, esp when promoting synchronous interaction (FaceTime, Zoom, multiplayer video games); and of course many are educational.
3. But when you read headlines like “don’t freak out about screen time” they usually cite a paper by @OrbenAmy & @ShuhBillSkee which reported that screen time is no more predictive of problems than is "eating potatoes."
4. Yet in our new publication, @jean_twenge and I show that in the same datasets, there's a much bigger link, for girls, between social media use & well-being. Correlations around -.17.
5. Correlations with well-being around -.17 are not “small potatoes.” In figure 2 we show how that compares to other relationships in those large datasets:
6. We show that the authors made 6 choices that brought correlations down to triviality (potatoes), eg: merging all screen time, merging boys & girls; controlling for variables related to the outcome such as feeling unhappy at school. From the Heid essay:
7. We find the same thing in another paper by the same authors, using time use diaries, which reports little association between “digital screen engagement” and well being. journals.sagepub.com/doi/10.1177/09…
8. OK, but in another recent publication looking at the same datasets, @jean_twenge and I find that when you zoom in on social media and girls, you obtain much larger correlations: frontiersin.org/articles/10.33…
9. Same pattern in a recent pub showing that “kids these days” who have a lot of “screen time” do not show slower dev of social skills.
One exception: "social skills are lower for children who access online gaming and social networking many times a day." journals.uchicago.edu/doi/abs/10.108…
10. Note: most of this debate is over correlational studies about “screen time." Orben is right, these have limits. But we have found 10 experiments with random assignment to reduce social media; 7 find a sig. benefit. See sec. 3 of our lit review: tinyurl.com/SocialMediaMen…
11. In conclusion, I have changed my mind from engaging with critics. "Screen time” does not make teens depressed (though smartphones have hi opportunity costs).
But heavy use of social media--esp. for girls--emerges from many datasets as the main exception to that statement.
13. Figure 2 in tweet 5 does NOT mean that social media is as dangerous as heroin. It means that in this large dataset, heroin use [dangerous but rare] explains about as much variation in well being as does social media use.
14. This debate needs to be set against the background of the sudden rise in depression/anxiety that hit teen girls (primarily) around 2012. What else can explain the timing and the sex diff? See our lit review docs.google.com/document/d/1di…
15. This whole debate is about individual-level dose-response mechanisms. We still need to look at systemic effects, e.g., how did teen social networks change when most teens moved rapidly onto a few platforms? I frame that question here:
16. So the debate over "teens and screens" is not over, but it has narrowed, many points of agreement are emerging, and we're moving on to better questions. Civil debate and viewpoint diversity--within a community that shares ground rules--works.
17. Here's a great new 10 min video that sums up the debate and shows how it is narrowing, with statements from both sides. From @psych_of_tech
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1. In The Coddling, @glukianoff and I pointed to Instagram as a main suspect in the sudden rise of depression/anxiety among Gen Z girls that began around 2012.
New report: Facebook’s own internal research supports that hypothesis.
2. Some background: The increase in teen depression/anxiety is very large and sudden, around 2012, in USA, Canada, and UK. Bigger for girls. See this Google doc lit review with many graphs:
3. The evidence that the surge of depression/anxiety around 2012 was caused in part by social media is compelling but not definitive. Most correlational & experimental studies find a link. @jean_twenge and I compile studies here: docs.google.com/document/d/1w-…
A solid replication of a Moral Foundations Theory finding was just published. In study 1, Jeremy Frimer obtained his own set of sermons from Unitarian and Baptist preachers. When he did what we did, he found what we found: sciencedirect.com/science/articl…
In our original paper we noted that word count is a crude tool; you need to look at words in context. When we did that, effect size grew, loyalty foundation reversed: cons endorsed it more. Frimer did not look at words in context in any of his 8 studies.
In our original paper (with Jesse Graham and @BrianNosek) we noted that Repub/Dem convention speeches were strategic communications, appealing to broad audiences; simple word counts don’t capture the difference: psycnet.apa.org/fulltext/2009-…
For teachers and parents: Here is my best lecture (30 min) laying out the stats on depression/anxiety for Gen Z, and 2 main causes (overprotection, and too-early social media), and how to educate in response. From @ExcelinEd 2019
@ExcelinEd For a deep dive into the studies that motivate the first 2 recommendations, about social media, please see this page:
Here's a bad kind of argument: If you favor X and some very bad people favored X, then you are wrong and, by association, bad. Here is @evefairbanks in WaPo likening me & others who favor “facts, reason, and civil discourse” to defenders of slavery: washingtonpost.com/outlook/2019/0…
@evefairbanks But a major risk of guilt by association arguments is that they can be turned back on their makers, as @marksjo1 does here, noting that those same very bad people sided with Fairbanks on some points, while some very good people did not: commentarymagazine.com/american-socie…
@evefairbanks@marksjo1 An occupational hazard of being a centrist is that some assume that if you criticize them, you must be on the other team. Fairbanks does this w me, @SamHarrisOrg & others, labeling us all right wing. This binary thinking is The Untruth of Us vs Them (ch. 3 of The Coddling)
On the @joerogan Experience, I showed graphs showing the sudden and sharp rise of depression and self-harm among U.S. teens, esp. girls, after 2011. But I FORGOT TO SHOW THE SUICIDE GRAPH; see below:
Here's the key section of our talk: #TheCoddling
In #TheCoddling, @glukianoff and I say why we think the spike for Gen Z has 2 major causes: Overprotection, since the 1990s, and social media, since around 2010. Here's the graph I showed on @joerogan for major depression:
In the video clip I explain why social media affects teen girls much more adversely than teen boys. You can see the different effects in this graph of changes in self-harm leading to hospitalization. No change for boys.
(data is from jamanetwork.com/journals/jama/… )