EconPapers    
Economics at your fingertips  
 

Evaluating the visual design of science publications—a quantitative approach comparing legitimate and predatory journal papers

Andreas Siess ()
Additional contact information
Andreas Siess: Hochschule Bonn-Rhein-Sieg University of Applied Sciences

Scientometrics, 2025, vol. 130, issue 9, No 11, 5043-5066

Abstract: Abstract The rise of predatory publishing poses a significant challenge to the integrity of scientific research, potentially undermining the credibility of scholarly communications. As parts of the academic community grapple with distinguishing legitimate from dubious publications, understanding the subtle differences between them becomes paramount. Therefore, this study focuses on some of these subtleties by examining the aesthetic differences in journal research papers published by potential predatory publishers versus legitimate ones. A comprehensive analysis was undertaken on 443 legitimate and 555 predatory Open Access publications, utilizing a rigorous quantitative approach. This investigation encompassed an evaluation of metadata, layout elements (such as typography, white space, page sizes, and figures), and other measurable visual attributes. Not only do the findings reveal statistically significant disparities in the visual presentation and embedded metadata of the published PDFs (potentially shedding light on the tools used for document creation), but the investigation also serves as a proof of concept for the employed analytical method: Using Python as scripting language, we offer a scalable solution for scrutinizing large datasets of PDF files based on design criteria, all while upholding a stringent quantitative approach.

Keywords: Predatory publishing; Design; Typography; Science communication; Quantitative research (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-025-05411-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:130:y:2025:i:9:d:10.1007_s11192-025-05411-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-025-05411-1

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-10-24
Handle: RePEc:spr:scient:v:130:y:2025:i:9:d:10.1007_s11192-025-05411-1