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That result runs against decades of laboratory work, which has generally found that depression dulls a person\u2019s response to rewards rather than sharpening it.<\/p>\n
The study hints at a concrete way the design of social media could interact with a depressed mind, and at who might be most exposed.<\/p>\n
The work was led by Dr. Dan-Mircea Mirea<\/a> at Princeton University<\/a>, with colleagues at Princeton and Trinity College Dublin<\/a>.<\/p>\n His team treated each individual post as a behavior that social media affirmation can train.<\/p>\n They measured how strongly one day\u2019s likes predicted posting the next day, calling the result a person\u2019s reinforcement tendency<\/a>. One dataset alone was not enough.<\/p>\n Testing across datasets<\/p>\n To make sure the pattern was real rather than a quirk of one odd sample, the team pooled three separate collections of Twitter data holding more than 17 million posts.<\/p>\n The largest paired just over 1,000 users who had announced a depression diagnosis in a tweet with about 5,000 randomly chosen accounts.<\/p>\n The other two groups were recruited directly and reported their own mental health. <\/p>\n One group reported through ads on the platform and the other through an online work marketplace that used a validated depression questionnaire. <\/p>\n Likes mattered more than retweets<\/p>\n Because each dataset measured depression in a different way, a result that showed up in all three was hard to write off as a fluke of one method.<\/p>\n The idea is not new. An earlier paper<\/a> already argued that the rules describing how animals chase food are similar to how people seek approval online.<\/p>\n What stood out here was the individual difference. In every dataset, the tie between yesterday\u2019s likes and today\u2019s posts grew stronger as depression increased.<\/p>\n The pattern was specific in a telling way. The pattern appeared for likes but not for retweets, suggesting that direct approval, rather than mere visibility, drove the effect.<\/p>\n Extra likes did not increase posting overall in one sample, but they still had a stronger effect on users with depression.<\/p>\n A surprising reversal<\/p>\n For years, laboratory studies have painted depression as a state of muted reward<\/a>.<\/p>\n People with depression learn less from small cash rewards or points in lab tasks. This reflects the condition\u2019s dulled motivation and reduced sense of pleasure.<\/p>\n That blunting shows up even when the reward is social. One study<\/a> found that people with more depressive symptoms learned more slowly from approving faces in a lab task. <\/p>\n That is the kind of signal a like is meant to stand in for online. Mirea\u2019s numbers run the other way, and the team argues the setting is the reason.<\/p>\n Real life is different from a lab<\/p>\n A dollar in a lab may fall flat, but a like from a real person carries a social reward that no poker chip can replicate. Context may explain the difference.<\/p>\n The reversal echoes previous work in depression research. Early lab work suggested people with depression react less to emotional<\/a> events. <\/p>\n However, studies that tracked people in daily life found the opposite \u2013 stronger reactions to stress and social exclusion.<\/p>\n A separate pattern linked to habit <\/p>\n One group completed a broad mental health survey, letting the team sort symptoms into clusters that crossed traditional diagnoses.<\/p>\n As a result, two different online behaviors were mapped onto two different groups.<\/p>\n The stronger reinforcement from likes was linked to a cluster of symptoms the researchers called anxious depression, including low mood, apathy, and long-standing anxiety.<\/p>\n There was also a different story being told. Some users posted at a steady rate almost regardless of their likes, revealing a habit-like pattern linked to compulsivity and intrusive thoughts.<\/p>\n Reward sensitivity and persistent habit emerged as separate traits, each linked to a different psychological profile.<\/p>\n The link between likes and depression <\/p>\n Because researchers measured mental health at only one point in time, they cannot determine which came first.<\/p>\n Heightened sensitivity to likes might be a feature of depression, or leaning hard on likes might deepen depression over time.<\/p>\n There are reasons to take the second path seriously. A computational study<\/a> found that younger users both post more in response to likes and feel their mood sink more when the likes dry up.<\/p>\n If missing out on likes stings while a steady stream of them soothes, people may begin chasing that reward, creating a self-feeding loop. Small, repeated pushes like that can add up.<\/p>\n Why depression appears to sharpen this pull remains unclear. People who get less warmth offline may lean on social media as an easier source of it.<\/p>\n Depression has been tied to heavier feedback-seeking<\/a> online, so a like may simply carry more weight for someone running low on other rewards.<\/p>\n Changes on the horizon<\/p>\n The individual effects are small, which the authors expect from noisy real-world data.<\/p>\n Even so, social media reaches more than 60% of people, and about one in 25 lives with depression, making the link a public health concern.<\/p>\n The work establishes something narrow but new. Until now, no one had shown that depression tracks a stronger real-world response to social rewards.<\/p>\n The next question is whether that pull contributes to depression or simply reflects it.<\/p>\n The same like button could be a source of support or a lever on a vulnerable mind.<\/p>\n The study is published in the journal JAMA Psychiatry<\/a>.<\/p>\n \u2014\u2013 Check us out on EarthSnap<\/a>, a free app brought to you by Eric Ralls<\/a> and Earth.com<\/a>.
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