How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use

Testing communication theories requires a valid empirical basis, yet especially for usage time measures, retrospective self-reports have shown to be biased. This study draws on a unique data set of 923 Swiss internet users who had their internet use tracked for at least 30 days on mobile and des...

Full description

Saved in:
Bibliographic Details
Main Authors: Noemi Festic, Moritz Büchi, Michael Latzer
Format: Article
Language:English
Published: HOPE 2021-04-01
Series:Journal of Quantitative Description: Digital Media
Subjects:
Online Access:https://journalqd.org/article/view/2553
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849405218819670016
author Noemi Festic
Moritz Büchi
Michael Latzer
author_facet Noemi Festic
Moritz Büchi
Michael Latzer
author_sort Noemi Festic
collection DOAJ
description Testing communication theories requires a valid empirical basis, yet especially for usage time measures, retrospective self-reports have shown to be biased. This study draws on a unique data set of 923 Swiss internet users who had their internet use tracked for at least 30 days on mobile and desktop devices and took part in a survey covering internet usage as well as person-level background variables. The analysis focuses on active usage time overall and on the major services Google Search, YouTube, WhatsApp, Instagram, Facebook, and the online newspaper 20 Minuten. The results showed that overall internet usage time was lower for older and higher-educated users based on both the tracking and survey data, and the reported usage time was consistently higher than the tracked usage time. The tracking data further revealed that internet users in all social groups spent the majority of their time online on a mobile device. The number of users of the major services varied mainly between age groups. These differences were less pronounced when it came to the time users spent engaging with these services. Over the course of a day, the major services varied in their frequency of use: for example, messaging peaked before noon and in the late afternoon, whereas online news use was comparably constant at a lower level.
format Article
id doaj-art-bcbb42a27d7d441c9a65dc64dbaac42e
institution Kabale University
issn 2673-8813
language English
publishDate 2021-04-01
publisher HOPE
record_format Article
series Journal of Quantitative Description: Digital Media
spelling doaj-art-bcbb42a27d7d441c9a65dc64dbaac42e2025-08-20T03:36:44ZengHOPEJournal of Quantitative Description: Digital Media2673-88132021-04-01110.51685/jqd.2021.018How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet UseNoemi Festic0https://orcid.org/0000-0002-3918-3639Moritz Büchi1https://orcid.org/0000-0002-9202-889XMichael Latzer2University of ZurichUniversity of ZurichUniversity of Zurich Testing communication theories requires a valid empirical basis, yet especially for usage time measures, retrospective self-reports have shown to be biased. This study draws on a unique data set of 923 Swiss internet users who had their internet use tracked for at least 30 days on mobile and desktop devices and took part in a survey covering internet usage as well as person-level background variables. The analysis focuses on active usage time overall and on the major services Google Search, YouTube, WhatsApp, Instagram, Facebook, and the online newspaper 20 Minuten. The results showed that overall internet usage time was lower for older and higher-educated users based on both the tracking and survey data, and the reported usage time was consistently higher than the tracked usage time. The tracking data further revealed that internet users in all social groups spent the majority of their time online on a mobile device. The number of users of the major services varied mainly between age groups. These differences were less pronounced when it came to the time users spent engaging with these services. Over the course of a day, the major services varied in their frequency of use: for example, messaging peaked before noon and in the late afternoon, whereas online news use was comparably constant at a lower level. https://journalqd.org/article/view/2553internet usagetracking dataself-reportssurveydigital traces
spellingShingle Noemi Festic
Moritz Büchi
Michael Latzer
How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
Journal of Quantitative Description: Digital Media
internet usage
tracking data
self-reports
survey
digital traces
title How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
title_full How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
title_fullStr How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
title_full_unstemmed How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
title_short How Long and What For? Tracking a Nationally Representative Sample to Quantify Internet Use
title_sort how long and what for tracking a nationally representative sample to quantify internet use
topic internet usage
tracking data
self-reports
survey
digital traces
url https://journalqd.org/article/view/2553
work_keys_str_mv AT noemifestic howlongandwhatfortrackinganationallyrepresentativesampletoquantifyinternetuse
AT moritzbuchi howlongandwhatfortrackinganationallyrepresentativesampletoquantifyinternetuse
AT michaellatzer howlongandwhatfortrackinganationallyrepresentativesampletoquantifyinternetuse