Abstract Climate change and political polarization are two of the twenty-first century’s critical socio-political issues. Here we investigate their intersection by studying discussion around United Nations Conference Parties on Change (COP) using Twitter data from 2014 to 2021. First, reveal a large increase in ideological during COP26, following low between COP20 COP25. Second, show that this is driven growing right-wing activity, fourfold since COP21 relative pro-climate groups. Finally,...

Abstract Growing concern surrounds the impact of social media platforms on public discourse 1–4 and their influence dynamics 5–9 , especially in context toxicity 10–12 . Here, to better understand these phenomena, we use a comparative approach isolate human behavioural patterns across multiple platforms. In particular, analyse conversations different online communities, focusing identifying consistent toxic content. Drawing from an extensive dataset that spans eight over 34 years—from Usenet...

Social media platforms heavily changed how users consume and digest information and, thus, the popularity of topics evolves. In this paper, we explore interplay between virality controversial they may trigger heated discussions eventually increase users’ polarization. We perform a quantitative analysis on Facebook by collecting ∼57 M posts from ∼2 pages groups 2018 2022, focusing engaging involving scandals, tragedies, social political issues. Using logistic functions, quantitatively assess...

Abstract The web radically changed the dissemination of information and global spread news. In this study, we aim to reconstruct connectivity patterns within nations shaping news propagation globally in 2022. We do by analyzing a dataset unprecedented size, containing 140 million articles from 183 countries related 37,802 domains GDELT database. Unlike previous research, focus on sequential mention events across various countries, thus incorporating temporal dimension into analysis networks....

Social media platforms behave like giant arenas where users can rely on different content and express their opinions through likes, comments, shares. However, do welcome perspectives or only listen to preferred narratives? This article examines how explore the digital space allocate attention among communities two social networks, Voat Reddit. By analyzing a massive dataset of about 215 million comments posted by 16 Reddit in 2019, we find that most tend new at decreasing rate, meaning they...

As virality has become increasingly central in shaping information sources' strategies, it raises concerns about its consequences for society, particularly when referring to the impact of viral news on public discourse. Nonetheless, there been little consideration whether these events genuinely boost attention received by source. To address this gap, we analyze content timelines from over 1000 European outlets 2018 2023 Facebook and YouTube, employing a Bayesian structural time series model...

In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and users behave on social media. This study examines media landscape Facebook by analyzing posts from political parties major news outlets Europe, Mexico, India. By identifying key topics measuring public engagement, we uncover patterns discourse. Using Principal Component Analysis, explore these are related distinguish trends audience...

Large Language Models (LLMs) are increasingly used to assess news credibility, yet little is known about how they make these judgments. While prior research has examined political bias in LLM outputs or their potential for automated fact-checking, internal evaluation processes remain largely unexamined. Understanding LLMs credibility provides insights into AI behavior and structured applied large-scale language models. This study benchmarks the reliability classifications of state-of-the-art...

In the last years, social media has gained an unprecedented amount of attention, playing a pivotal role in shaping contemporary landscape communication and connection. However, Coordinated inauthentic Behaviour (CIB), defined as orchestrated efforts by entities to deceive or mislead users about their identity intentions, emerged tactic exploit online discourse. this study, we quantify efficacy CIB tactics defining general framework for evaluating influence subset nodes directed tree. We...

The benefits of an information ecosystem based on social media platforms came at the cost rise several antisocial behaviours, including use toxic speech.To assess aspects that concur with formation conversations, we provide a multi-platform comparison Twitter and YouTube between 2022 Italian Political Elections, representing potentially polarising topic, Football League, topic close to country's popular culture.We first probe structural conversational toxicity differences by analyzing 257K...

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across over different years can provide critical insights into these phenomena. This study investigates linguistic characteristics comments 34 y, focusing their complexity temporal shifts. Using a dataset approximately 300 million English from eight diverse topics, we examine...

Abstract Many recent studies have shown that Fractal Dimension (FD), a ratio for figuring out the complexity of system given its measurements, can be used as an useful index to provide information about certain brain disease. Our research focuses on Alzheimer’s disease changes in white and grey matters detected through FD indexes their contours. Data this study were obtained from Disease (AD) Neuroimaging Initiative database (Normal Condition, N = 57, Disease, 60). After standard...

<sec> <title>UNSTRUCTURED</title> Social media radically changed how information is consumed and reported elicited a disintermediated access to an unprecedented amount of content. The world health organization (WHO) coined the term infodemics identify overabundance during epidemic. Indeed, spread inaccurate misleading may alter behaviours complicate crisis management responses. This paper addresses diffusion COVID-19 pandemic period with massive data analysis on YouTube. First, we analyze...

In the last years, social media has gained an unprecedented amount of attention, playing a pivotal role in shaping contemporary landscape communication and connection. However, Coordinated Inhautentic Behaviour (CIB), defined as orchestrated efforts by entities to deceive or mislead users about their identity intentions, emerged tactic exploit online discourse. this study, we quantify efficacy CIB tactics defining general framework for evaluating influence subset nodes directed tree. We...

Given a 3-uniform hypergraph H, its 2-intersection graph G has as vertex set the hyperedges of H and ee′ is an edge whenever e e′ have exactly two common vertices in H. Di Marco et al. prove (2023) that deciding whether NP-complete. Following this result, we study class claw-free graphs. We show recognition problem remains NP-complete for class, but becomes polynomial if consider triangulated

In 2024, half of the global population is expected to participate in elections, offering researchers a unique opportunity study online information diffusion and user behavior. This investigates media landscape on social by analyzing Facebook posts from national political parties major news agencies across Europe, Mexico, India. Our methodology identifies key topics evaluates public interaction, reflecting broader trends engagement. Using Principal Component Analysis, we distil these uncover...

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across over different years can provide critical insights into these phenomena. This study investigates linguistic characteristics comments 34 years, focusing their complexity temporal shifts. Utilizing a dataset approximately 300 million English from eight diverse topics, we...

Social media platforms significantly influence ideological divisions by enabling users to select information that aligns with their beliefs and avoid opposing viewpoints. Analyzing approximately 47 million Facebook posts, this study investigates the interactions of around 170 news pages, revealing distinct patterns based on political orientations. While generally prefer content reflects biases, extent engagement varies even among individuals similar leanings. Specifically, biases heavily...

This study examines Facebook and YouTube content from over a thousand news outlets in four European languages 2018 to 2023, using Bayesian structural time-series model evaluate the impact of viral posts. Our results show that most events do not significantly increase engagement rarely lead sustained growth. The virality effect usually depends on trend preceding post, typically reversing it. When emerges unexpectedly, enhances users' engagement, reactivating collective response process. In...

The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twitter (now X) data from three global debates -- Climate Change, COVID-19, and Russo-Ukrainian War investigate structural dynamics engagement. Our findings reveal discussions are not primarily shaped by specific categories actors, such as or activists, but shared ideological alignment. Users consistently form...