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Journal of Quantitative Description: Digital Media
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
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Cracking Open the European Newsfeed

Authors: Rossi, Luca; Giglietto, Fabio; Marino, Giada;

Cracking Open the European Newsfeed

Abstract

This paper contributes to the ongoing effort to describe and quantify the quality of information that is shared on large social media platforms. We do this by complementing existing research that provided a first quantitative assessment of the quality of the information circulating on Facebook among US users. Leveraging an updated version of the same data source — Meta's URL Shares Dataset — and replicating much of the methodology, we quantify the trustworthy and untrustworthy links to external websites that have been shared on Facebook in the period between 2019 and 2022 in three major European countries (Germany, France, and Italy). We observe a clear decline in the number of URLs present in the dataset and an increase in the URLs from untrustworthy domains as a percentage of the total URLs shared in a year. This increase seems to be higher in electoral years (in Germany and in Italy) but it does not translate into an increase of Views received from untrustworthy sources.

Countries
Denmark, Italy
Keywords

news sources, Facebook, URL Shares Dataset, 330, journalism studies, Trustworthy news sources, Facebook, URL Shares Dataset, Trustworthy and untrustworthy news sources., election, political communication, eu, facebook

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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!
0
Average
Average
Average
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gold
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