Evidence map›Paper›PMID 41994418›Full record

ArticleMobile media & communication2026

Days, Schedules, and Attention: How Time Affects Mobile News Consumption Among Young Swiss People.

Morley Weston, Daniel Vogler, Adrian Rauchfleisch, Pascal Jürgens, Mark Eisenegger

Abstract readNews
In one paragraph

Article in Mobile media & communication, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Morley WestonDepartment of Communication and Media Research (IKMZ), University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0009-0001-8438-6988
Daniel VoglerResearch Center for the Public Sphere and Society (fög), University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0211-7574
Adrian RauchfleischGraduate Institute of Journalism, National Taiwan University, Taipei, Taiwan (ROC).ORCID https://orcid.org/0000-0003-1232-083X
Pascal JürgensDepartment of Media Research, University of Trier, Trier, Germany.ORCID https://orcid.org/0000-0002-6810-0011
Mark EiseneggerDepartment of Communication and Media Research (IKMZ), University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4964-2528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

News consumption is often treated as static behavior, yet situational and temporal factors play a significant role in shaping how individuals consume news throughout their daily lives. Mobile phones have become a driving force of dynamic news habits, especially among younger audiences. This study aims to bridge the gap between static perceptions of news consumption and the dynamic realities of daily mobile usage. To investigate this, we tracked news usage on the mobile phones of 384 young adults in Switzerland over three weeks in 2021, in a period surrounding a national referendum. These data were combined with two surveys at the beginning and end of the tracking period to examine how a political referendum, daily schedules, and browsing habits are related to the amount of mobile news consumption. Using a Bayesian time-lagged model, we found an increase in news consumption on the day of the referendum, and a slight decrease on weekends and during working hours. We also found that participants read more news when they first opened their phones than as a browsing session continued, and that higher news consumption was substantially associated with the use of X/Twitter and Instagram, but only slightly with TikTok.

Indexed as

Bayesian analysiscomputational methodsMobile trackingnews usesocial media

Identifiers

PMID41994418
PMCPMC13082691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.