What's Well & Good in Media

Transcript 28 lines

Cold Open Stats Overview Paper Walkthrough free_promo

Cold Open

Jenny Have you ever gone online to feel better and somehow ended up feeling worse?

Davis Absolutely, but I also don't want to pretend the group chat hasn't kept me upright on some pretty rough days.

Jenny That's the thing, because I distrust any app that claims it'll improve your mood, but I trust a person who notices you went quiet.

Davis So maybe the question isn't whether media is good or bad for us, it's whether we're actually taking part, or just watching everyone else seem more alive.

Jenny And this week, one study gets right to that split: joining in on a live stream looked better for wellbeing, until fear of missing out started eating the benefit...welcome to What's Well & Good in Media on paperboy.fm.

Stats Overview

Davis Stats map first: this week we analyzed 524 hits and kept 72 qualified papers, with 280 unique authors across 23 countries. So the feed is smaller than last week, but it’s still broad enough to catch Indonesia at 9 papers, Australia at 4, and Bangladesh at 3.

Jenny The qualified pile fell from 83 to 72, down 11 papers, or 13.3%. I wouldn’t call that a slump yet, because the methods skew hands-on: 25 qualitative studies, meaning interviews or close reading of people’s words, plus 15 surveys, so this week has more context than giant counting.

Davis The bigger swing is the search itself: query hits dropped from 1,074 to 524, down 550, or about 51%. But the filter kept 72, which is roughly one in seven hits, so maybe there was less peripheral noise; what’s driving that exactly, venue coverage, topic wording, or a quieter publication week?

Jenny And here’s the weird counterweight: unique authors rose from 273 to 280 even while countries fell from 26 to 23. That says fewer national settings, but a slightly wider author bench, which makes me ask whether a few countries are carrying more team-based work this week.

Davis The author mix backs that up: 82 first-time authors, meaning people publishing their first-ever paper in the metadata, 117 emerging authors, and 81 experienced authors. That’s about 29%, 42%, and 29%, so the center of gravity is early-career, not just the usual senior names.

Jenny Theme-wise, social media leads with 14 papers, then mental health at 7 and digital media at 5. That fits the episode’s through-line: media doesn’t land as good or bad by itself; the wellbeing effect depends on design, trust, vulnerability, and where the study actually looked.

Paper Walkthrough

Paper 1 Digital and social media and value shifting: an empirical examination around the globe

Davis Alright, let's get into the papers with a big map paper: Qing-Qiang Yao's Digital and social media and value shifting: an empirical examination around the globe. It uses the seventh wave of the World Values Survey, collected from twenty seventeen to twenty twenty-two across sixty-six societies, to ask whether different media habits line up with happiness, trust, confidence in the UN system, and ethical values.

Davis The plain version is: digital media and social media don't point the same way. Digital media use was linked with more happiness and more supernational confidence, meaning confidence in institutions above the nation like the UN, but it was also linked with lower ethical values, while social media use was linked with higher ethical values but lower social trust and lower confidence in the UN system.

Jenny How did they separate digital media from social media here, and should we really treat those as different habits instead of one big screen-time bucket?

Davis Yao treated them as separate World Values Survey measures and ran regression analyses, which means looking at how one media habit moves with one value measure while the model accounts for other factors. Then he tested the patterns again across six contexts: light, moderate, and heavy media users, plus societies rated not free, partly free, or free, but the big caveat is that this is cross-sectional survey data, so it shows patterns at one point in time, not what media use caused.

Jenny That makes this useful, but not definitive. If you're designing health messaging or civic information, the takeaway isn't "media helps" or "media harms"; it's that trust and authority may change depending on whether people are using a news site, a digital outlet, or a social platform.

Paper 2 The relationship between social media addiction and psychological resilience: A meta-analysis of studies published between 2014 and 2024

Jenny That last paper warned us not to throw every media habit into one screen-time bucket, and this one makes that distinction sharper. Esin Özer and Özge Toker call it The relationship between social media addiction and psychological resilience, and it's a meta-analysis, meaning they combine results from earlier studies instead of running one new survey.

Jenny Across eighteen empirical studies with seven thousand one hundred seven participants, higher social media addiction was linked with lower psychological resilience. Resilience here just means the ability to recover after stress, and the effect was small but statistically clear: minus zero point two three, with p below point zero zero one.

Davis When they say addiction, what exactly were the original studies measuring? Because that's a very different claim from saying someone checks Instagram a lot after dinner.

Jenny Right, and the authors are not treating ordinary use as the problem. They synthesized studies that measured social media addiction and resilience with questionnaires, then used a random-effects model, which assumes the studies differ in real ways rather than pretending they're identical. The big caution is heterogeneity: I-squared was eighty-seven point four percent, so the studies varied a lot in measurement, even though a leave-one-out check and publication-bias tests made the small negative link look pretty robust.

Davis So this is the week's clearest harm signal, but it's not a panic button. For the Risk in the feed thread, the practical takeaway is to look for compulsive patterns, like losing control, withdrawal, or use that crowds out sleep and school, instead of telling people that every social app is automatically bad for wellbeing.

Paper 3 Exploring the influence of user-generated content on alcohol-related attitudes and behaviours among young people: A systematic review.

Davis That distinction from the last paper matters here too: not every post is a problem, but some patterns in the feed may nudge real behavior. Crocetti and colleagues have a systematic review in Addiction called Exploring the influence of user-generated content on alcohol-related attitudes and behaviours among young people.

Davis Plain version: when young people see alcohol posts from peers, influencers, or other users, those posts are usually linked with more drinking, stronger intentions to drink, or more accepting attitudes about alcohol. The review covered forty-six peer-reviewed studies, and the quantitative studies alone included forty-four thousand two hundred nineteen participants.

Jenny Do these studies show that the posts changed behavior, or could it be that young people who already drink are more likely to see, like, and share drinking posts?

Davis That's the key caution. The authors searched MEDLINE, PsycINFO, SocINDEX, EMBASE, and CINAHL, followed PRISMA guidelines, and synthesized twenty-four cross-sectional studies, fourteen longitudinal studies, seven qualitative studies, and one mixed-methods study, but the review still found mostly associations, with overall quality described as moderate because sampling and non-response reporting were often weak.

Davis Still, the consistency is hard to ignore: among the quantitative studies that looked at behavior, twenty-eight of twenty-nine reported a positive association between alcohol-related user-generated content and outcomes like use or intention to drink. User-generated content just means material made by regular users or influencers rather than formal ads, so this is the party photo, the funny hangover clip, the sponsored-looking cocktail reel, and the friend tagging you in it.

Jenny So for the Risk in the feed thread, the prevention target isn't just the billboard or the beer commercial anymore. If a school, parent, or public-health team ignores peer and influencer alcohol posts, they're missing the part of the media environment that may feel most normal to a sixteen-year-old.

What's Well & Good in Media

Media’s mood effects get more specific

Episode