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Web requests analysis of Italy websites which use Google Analytics

Authors: Leva, Federico;

Web requests analysis of Italy websites which use Google Analytics

Abstract

List of 504,038 domains of Italy found to contain Google Analytics. The front page for Italy-related domain names has been accessed through HTTPS or HTTP and analysed with webbkoll and jq to gather data about third-party requests, cookies and other privacy-invasive features. Together with the actual URL visited, the user/property ID is provided for 495,663 domains (extracted either from the cookies deposited or the URL of requests to Google Analytics). MX and TXT records for the domains are also provided. The most common ID found was 23LNSPS7Q6, with over 35k domains calling it (seemingly associated with italiaonline.it). The most common responding IP addresses were 3 AWS IPv4 addresses (over 40k domains) and 2 CloudFlare IPv6 addresses (over 12k domains).

{"references": ["Victor Le Pochat, Tom Van Goethem, Samaneh Tajalizadehkhoob, Maciej Korczy\u0144ski, and Wouter Joosen. 2019. \"Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation,\" Proceedings of the 26th Annual Network and Distributed System Security Symposium (NDSS 2019). https://doi.org/10.14722/ndss.2019.23386", "Anders Jensen-Urstad (2022). webbkoll. https://github.com/andersju/webbkoll"]}

Keywords

Chromium, Privacy, Web analysis, Web crawling, Google Analytics, Google, webbkoll

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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16