{"title":"Social Media Platform Repertoires in Everyday Life: Measuring Social Media Use With Passive Metering","authors":"Moreno Mancosu, Mario Quaranta, Fabio Torreggiani","doi":"10.1177/20563051261488115","DOIUrl":null,"url":null,"abstract":"Social media platforms structure the ways in which billions of citizens access information. Nevertheless, to assess social media time use, most research relies on limited data sources, such as self-reported survey measures or behavioral data from single platforms or convenience samples. Using 6 weeks of passive metering of smartphone and computer activity from a quota sample of Italian adults (18–70, <jats:italic toggle=\"yes\">n</jats:italic> = 1,457), this study provides a behaviorally measured account of platform-specific social media use across the adult population. We quantify time allocation across Facebook, Instagram, TikTok, YouTube, and Twitter/X and examine how use varies by sociodemographic factors. Results show that Facebook and YouTube dominate everyday social media time, accounting for nearly three-quarters of consumption, while Instagram attracts comparable average time from a narrower user base, and TikTok shows concentrated usage among younger adopters. Twitter/X occupies a marginal niche. Use is overwhelmingly app-based (>90%), a pattern that browser-based measurement cannot capture. Age is the strongest demographic predictor: Gen Z concentrates attention on Instagram and TikTok, while older cohorts favor Facebook; YouTube shows weak demographic patterning. Gender and education are consistent secondary predictors: women devote more time to Facebook, Instagram, and social media overall, and higher education is associated with lower aggregate use and a smaller share on Facebook and TikTok. Employment and income show null effects. Together, these behavioral, cross-platform figures provide a more accurate basis for weighting platforms by their actual audiences than self-reported or single-platform evidence allows.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"143 1","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Media + Society","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/20563051261488115","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Social media platforms structure the ways in which billions of citizens access information. Nevertheless, to assess social media time use, most research relies on limited data sources, such as self-reported survey measures or behavioral data from single platforms or convenience samples. Using 6 weeks of passive metering of smartphone and computer activity from a quota sample of Italian adults (18–70, n = 1,457), this study provides a behaviorally measured account of platform-specific social media use across the adult population. We quantify time allocation across Facebook, Instagram, TikTok, YouTube, and Twitter/X and examine how use varies by sociodemographic factors. Results show that Facebook and YouTube dominate everyday social media time, accounting for nearly three-quarters of consumption, while Instagram attracts comparable average time from a narrower user base, and TikTok shows concentrated usage among younger adopters. Twitter/X occupies a marginal niche. Use is overwhelmingly app-based (>90%), a pattern that browser-based measurement cannot capture. Age is the strongest demographic predictor: Gen Z concentrates attention on Instagram and TikTok, while older cohorts favor Facebook; YouTube shows weak demographic patterning. Gender and education are consistent secondary predictors: women devote more time to Facebook, Instagram, and social media overall, and higher education is associated with lower aggregate use and a smaller share on Facebook and TikTok. Employment and income show null effects. Together, these behavioral, cross-platform figures provide a more accurate basis for weighting platforms by their actual audiences than self-reported or single-platform evidence allows.
期刊介绍:
Social Media + Society is an open access, peer-reviewed scholarly journal that focuses on the socio-cultural, political, psychological, historical, economic, legal and policy dimensions of social media in societies past, contemporary and future. We publish interdisciplinary work that draws from the social sciences, humanities and computational social sciences, reaches out to the arts and natural sciences, and we endorse mixed methods and methodologies. The journal is open to a diversity of theoretic paradigms and methodologies. The editorial vision of Social Media + Society draws inspiration from research on social media to outline a field of study poised to reflexively grow as social technologies evolve. We foster the open access of sharing of research on the social properties of media, as they manifest themselves through the uses people make of networked platforms past and present, digital and non. The journal presents a collaborative, open, and shared space, dedicated exclusively to the study of social media and their implications for societies. It facilitates state-of-the-art research on cutting-edge trends and allows scholars to focus and track trends specific to this field of study.