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Title:
Impact of filtering policy changes on Wikipedia pageview metrics
Authors:
ID
Škrbić, Srdjan
(
Author
)
ID
Levnajić, Zoran
(
Author
)
Files:
RAZ_Skrbic_Srdjan_2025.pdf
(12,52 MB)
MD5: 2EBEEB33F12E23AE224DC803CB606675
Language:
English
Work type:
Unknown
Typology:
1.08 - Published Scientific Conference Contribution
Organization:
FIŠ - Faculty of Information Studies in Novo mesto
Abstract:
Daily number of visits to any Wikipedia article can be obtained very simply. This research-friendly policy enabled the scientific community to study the nature and dynamics of global collective attention. However, Wikimedia Foundation has recently made two major changes in the way article visits (pageviews or viewcounts) are calculated and reported. The first change occurred in December 2019 and was related to bot traffic filtering. The second change took place in May 2020 in order to advance the detection and categorization of automated traffic. These changes improve the quality of pageview time-series by making them more stationary and reducing anomalies. Yet they lead to discontinuities that impact downstream tasks. The goal of this paper is to elucidate these changes and discuss their implications for researchers.
Keywords:
Wikipedia
,
pageview metrics
,
pageview time-series
Publication status:
Published
Publication version:
Version of Record
Year of publishing:
2025
Number of pages:
Str. [61-66]
PID:
20.500.12556/ReVIS-13042
COBISS.SI-ID:
264963075
UDC:
004.93
Note:
Nasl. z nasl. zaslona; Opis vira z dne 15. 1. 2026;
Publication date in ReVIS:
22.01.2026
Views:
31
Downloads:
0
Metadata:
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Record is a part of a monograph
Title:
16th International Conference on Information Technologies and Information Society : ITIS 2025
Editors:
Maruša Gorišek, Tea Golob, Teja Štrempfel
Place of publishing:
Novo mesto
Publisher:
Faculty of information studies
Year of publishing:
2025
ISBN:
978-961-96549-2-7
COBISS.SI-ID:
263628291
Secondary language
Language:
Slovenian
Keywords:
Wikipedia
,
metrike ogledov spletnih strani
,
analize časovnih serij
,
analiza podatkov
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