Decoding the News Media Diet of Disinformation Spreaders

التفاصيل البيبلوغرافية
العنوان: Decoding the News Media Diet of Disinformation Spreaders
المؤلفون: Bertani, Anna, Mazzeo, Valeria, Gallotti, Riccardo
سنة النشر: 2024
المجموعة: Computer Science
Physics (Other)
مصطلحات موضوعية: Physics - Physics and Society, Computer Science - Social and Information Networks
الوصف: In the digital era, information consumption is predominantly channeled through online news media disseminated on social media platforms. Understanding the complex dynamics of the news media environment and users habits within the digital ecosystem is a challenging task that requires at the same time large bases of data and accurate methodological approaches. This study contributes to this expanding research landscape by employing network science methodologies and entropic measures to analyze the behavioural patterns of social media users sharing news pieces and dig into the diverse news consumption habits within different online social media user groups. Our analyses reveal that users are more inclined to share news classified as fake when they have previously posted conspiracy or junk science content, and vice versa, creating a series of misinformation hot streaks. To better understand these dynamics, we used three different measures of entropy to gain insights into the news media habits of each user, finding that the patterns of news consumption significantly differ among users when focusing on disinformation spreaders, as opposed to accounts sharing reliable or low-risk content. Thanks to these entropic measures, we quantify the variety and the regularity of the news media diet, finding that those disseminating unreliable content exhibit a more varied and at the same time a more regular choice of web domains. This quantitative insight into the nuances of news consumption behaviours exhibited by disinformation spreaders holds the potential to significantly inform the strategic formulation of more robust and adaptive social media moderation policies.
نوع الوثيقة: Working Paper
DOI: 10.3390/e26030270
URL الوصول: http://arxiv.org/abs/2402.02173
رقم الأكسشن: edsarx.2402.02173
قاعدة البيانات: arXiv