Evidence map›Paper›PMID 37644357›Full record

ArticleArchives of sexual behavior2023

A Re-evaluation of Online Pornography Use in Germany: A Combination of Web Tracking and Survey Data Analysis.

Maximilian T P von Andrian-Werburg, Pascal Siegers, Johannes Breuer

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Maximilian T P von Andrian-WerburgInstitute Human-Computer-Media, Faculty of Human Sciences, University of Wuerzburg, Oswald-Kuelpe-Weg 82, 97074, Wurzburg, Germany. maximilian.andrian@uni-wuerzburg.de.ORCID 0000-0001-8713-8237
Pascal SiegersGESIS-Leibnitz Institute for the Social Sciences, Mannheim, Germany.ORCID 0000-0001-7899-6045
Johannes BreuerGESIS-Leibnitz Institute for the Social Sciences, Mannheim, Germany.ORCID 0000-0001-5906-7873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several researchers have questioned the reliability of pornography research's findings. Following a recent call to use more reliable data sources, we conducted two analyses to investigate patterns and predictors of online pornography use (OPU). Our analyses were based on data from a large-scale German online web tracking panel (N = 3018) gathered from June 2018 to June 2019. The study we present here has two parts: In the first part, we looked at group differences (gender and age) in tracked OPU. Overall, this part's results confirm questionnaire-based research findings regarding sex and age differences. In the second part of our study, we combined the web tracking data with data from an online survey which was answered by a subset of the tracking participants (n = 1315) to assess the relevance of various predictors of OPU that have been identified in previous research. Again, our results mostly echoed previous findings based on self-reports. Online pornography was used more by males and younger individuals, while relationship status, sexist attitudes, and social dominance orientation were not associated with OPU. However, we did find differences in OPU between members of different religious communities. Our study confirms some critical findings on OPU from previous questionnaire-based research while extending existing research by providing a more fine-grained analysis of usage patterns based on web tracking data.

Indexed as

EroticaSexual BehaviorGermanyHumansMaleReproducibility of ResultsSelf ReportOnline pornography useReligiositySexismSocial dominance orientationWeb tracking data

Identifiers

PMID37644357
PMCPMC10703962

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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.