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News and Misinformation Consumption in Europe: Supplementary Informationby@newsbyte

News and Misinformation Consumption in Europe: Supplementary Information

by NewsByte.TechJune 7th, 2024
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In this paper, researchers analyze European news consumption patterns, misinformation sources, and audience behaviors on Twitter.
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Authors:

(1) Anees Baqir, Ca’ Foscari University of Venice, Italy;

(2) Alessandro Galeazzi, Ca’ Foscari University of Venice, Italy;

(3) Fabiana Zollo, Ca’ Foscari University of Venice, Italy and The New Institute Centre for Environmental Humanities, Italy.

Supplementary Information

Figure 1: Similarity network among news outlets, where each news source is represented as a node, and edges represent audiences’ similarity among news outlets. The color and shape of the nodes indicate the classification of the news source, and the thickness of the edges represents the level of similarity of retweeters between two news sources. Each network represents the news outlets’ similarity on one topic for one country.


Table 1: The table showcases adjusted assortativity coefficients (Karimi and Oliveira, 2022) for key topics across France, Germany, Italy, and the UK. These coefficients measure the tendency of nodes to be connected to nodes with similar degrees within each country’s topic-based network. Notably, variations across countries highlight distinct patterns of intra-network connectivity for each topic.


Figure 2: Community detection analysis of news outlets’ similarity networks with all the edges. Clusters were found using the Louvain clustering algorithm and sorted based on the percentage of questionable news outlets. The percentage of questionable sources in each cluster is color coded.


Figure 3: Distribution of News Outlets type respect to PageRank score


Table 2: Edge Density topic and country wise


Table 3: Connections between reliable and questionable news sources


Table 4: Audience count for reliable and questionable news sources


This paper is available on arxiv under CC 4.0 license.