Matteo Magnani
Biographic Data
| ID | 3924898 |
|---|---|
| NAME | Matteo Magnani |
| GIVEN NAMES | Matteo |
| FAMILY NAME | Magnani |
| SIGNATURE | MAGNANI M |
| AFFILIATIONS | Uppsala University |
| ORCID | 0000-0002-3437-9018 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Six Years of European Visual Climate Activism: A Longitudinal Analysis of Fridays for Future and Extinction Rebellion’s Online Visual Communication
This paper addresses how global climate movements use images in their social media communication from a comparative perspective: How have Fridays For Future and Extinction Rebellion in Italy, Germany, Sweden and Hungary evolved their use of visual communication on Instagram between 2018 and 2024? We argue that three lines of analysis are important for a comprehensive understanding of the relation between image content and protest movements: a) co…
Semantic Clustering for Visual Data
Social media have gone through an overall visual turn. From the text-first nature of former Twitter or the first era of Facebook, we now face platforms that are visual first (if not visual only) both in terms of design and usage. This poses new challenges for researchers that aim at understanding this growing amount of data from a computational or quantitative perspective. Methods developed within the domain of computer vision were developed for …
Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change
In this paper, we explore the visual echo chamber effect in climate change communication. We leverage the ongoing monitoring activities of both progressive actors and counter actor groups involved in the online public debate surrounding climate communication. Our focus is on whether visual content possesses unique characteristics that enable it to bridge ideologically diverse communities. We do note a small amount of shared visual content. Intere…
Leveraging VLLMs for Visual Clustering: Image-to-Text Mapping Shows Increased Semantic Capabilities and Interpretability
As visual content becomes increasingly prominent on social media, automated image categorization is vital for computational social science efforts to identify emerging visual themes and narratives in online debates. However, the methods based on convolutional neural networks (CNNs) currently used in the field are unable to fully capture the connotative meaning of images, and struggle to produce easily interpretable clusters. In response to these …
Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change
This paper explores the visual echo chamber effect in online climate change communication. We analyze communication by progressive actors and counteractors involved in the public debate about climate change on Facebook, to address the possibility that visual content can bridge ideologically diverse communities. Specifically, we investigate whether visual content depicting protest serves this purpose. The findings reveal a small amount of shared v…
Climate Clash: A Multimodal Analysis of Movement–Countermovement Interactions in the Digital Sphere
This article investigates the intensity and character of interaction between the climate movement and countermovement in the online sphere. Theoretically, we contribute by proposing a novel categorization of movement–countermovement interaction that considers whether the action directly or indirectly targets the adversary, their argument, or their actions. While in physical interaction, the activists clash on the streets, in social media, rival a…
Deep Neural Networks for Social Visuals: Studying Climate Communication on Youtube
Visual politics is becoming increasingly salient online. The qualitative methods of the research tradition do not expand to complex media ecologies, but advances in deep neural networks open an unprecedented path to large-scale analysis on the basis of actual visual content. However, the analysis of social visuals is challenging, since social and political scenes are semantically rich and convey complex narratives and ideas. This paper examines v…
Defining and measuring probabilistic ego networks
Analyzing ego networks to investigate local properties and behaviors of individuals is a fundamental task in social network research. In this paper we show that there is not a unique way of defining ego networks when the existence of edges is uncertain, since there are two different ways of defining the neighborhood of a node in such network models. Therefore, we introduce two definitions of probabilistic ego networks, called V-Alters-Ego and F-A…
Introduction to the special issue on multilayer networks
During the last century, networks of several types have been used to model a wide range of physical, biological and social systems. For example, Moreno (1934) studied social networks with multiple types of ties, later called multiplex networks (Verbrugge, 1979; Minor, 1983; Lazega & Pattison, 1999) as well as networks with multiple types of actors. Networks with multiple types of actors and relational ties have often been used together: relevant …
A new approach to role and position detection in networks
Effects of missing data in multilayer networks
Clustering attributed graphs: Models, measures and methods
Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on graphs without attributes, with the notable exception of edge weights. However, these models only provide a partial representation of real social systems, that are thus often described using node attributes, represe…
Multiple Social Networks, Data Models and Measures for
Path-Based and Whole-Network Measures
Introduction to the special issue on multilayer networks
During the last century, networks of several types have been used to model a wide range of physical, biological and social systems. For example, Moreno (1934) studied social networks with multiple types of ties, later called multiplex networks (Verbrugge, 1979; Minor, 1983; Lazega & Pattison, 1999) as well as networks with multiple types of actors. Networks with multiple types of actors and relational ties have often been used together: relevant …
Clustering attributed graphs: Models, measures and methods
Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on graphs without attributes, with the notable exception of edge weights. However, these models only provide a partial representation of real social systems, that are thus often described using node attributes, represe…
Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change
This paper explores the visual echo chamber effect in online climate change communication. We analyze communication by progressive actors and counteractors involved in the public debate about climate change on Facebook, to address the possibility that visual content can bridge ideologically diverse communities. Specifically, we investigate whether visual content depicting protest serves this purpose. The findings reveal a small amount of shared v…
Multiple Social Networks, Data Models and Measures for
Path-Based and Whole-Network Measures
Clustering attributed graphs: Models, measures and methods
Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on graphs without attributes, with the notable exception of edge weights. However, these models only provide a partial representation of real social systems, that are thus often described using node attributes, represe…
A new approach to role and position detection in networks
Effects of missing data in multilayer networks
Introduction to the special issue on multilayer networks
During the last century, networks of several types have been used to model a wide range of physical, biological and social systems. For example, Moreno (1934) studied social networks with multiple types of ties, later called multiplex networks (Verbrugge, 1979; Minor, 1983; Lazega & Pattison, 1999) as well as networks with multiple types of actors. Networks with multiple types of actors and relational ties have often been used together: relevant …
Deep Neural Networks for Social Visuals: Studying Climate Communication on Youtube
Visual politics is becoming increasingly salient online. The qualitative methods of the research tradition do not expand to complex media ecologies, but advances in deep neural networks open an unprecedented path to large-scale analysis on the basis of actual visual content. However, the analysis of social visuals is challenging, since social and political scenes are semantically rich and convey complex narratives and ideas. This paper examines v…
Defining and measuring probabilistic ego networks
Analyzing ego networks to investigate local properties and behaviors of individuals is a fundamental task in social network research. In this paper we show that there is not a unique way of defining ego networks when the existence of edges is uncertain, since there are two different ways of defining the neighborhood of a node in such network models. Therefore, we introduce two definitions of probabilistic ego networks, called V-Alters-Ego and F-A…
Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change
In this paper, we explore the visual echo chamber effect in climate change communication. We leverage the ongoing monitoring activities of both progressive actors and counter actor groups involved in the online public debate surrounding climate communication. Our focus is on whether visual content possesses unique characteristics that enable it to bridge ideologically diverse communities. We do note a small amount of shared visual content. Intere…
Leveraging VLLMs for Visual Clustering: Image-to-Text Mapping Shows Increased Semantic Capabilities and Interpretability
As visual content becomes increasingly prominent on social media, automated image categorization is vital for computational social science efforts to identify emerging visual themes and narratives in online debates. However, the methods based on convolutional neural networks (CNNs) currently used in the field are unable to fully capture the connotative meaning of images, and struggle to produce easily interpretable clusters. In response to these …
Do You See What I See? Emotional Reaction to Visual Content in the Online Debate About Climate Change
This paper explores the visual echo chamber effect in online climate change communication. We analyze communication by progressive actors and counteractors involved in the public debate about climate change on Facebook, to address the possibility that visual content can bridge ideologically diverse communities. Specifically, we investigate whether visual content depicting protest serves this purpose. The findings reveal a small amount of shared v…
Climate Clash: A Multimodal Analysis of Movement–Countermovement Interactions in the Digital Sphere
This article investigates the intensity and character of interaction between the climate movement and countermovement in the online sphere. Theoretically, we contribute by proposing a novel categorization of movement–countermovement interaction that considers whether the action directly or indirectly targets the adversary, their argument, or their actions. While in physical interaction, the activists clash on the streets, in social media, rival a…
Six Years of European Visual Climate Activism: A Longitudinal Analysis of Fridays for Future and Extinction Rebellion’s Online Visual Communication
This paper addresses how global climate movements use images in their social media communication from a comparative perspective: How have Fridays For Future and Extinction Rebellion in Italy, Germany, Sweden and Hungary evolved their use of visual communication on Instagram between 2018 and 2024? We argue that three lines of analysis are important for a comprehensive understanding of the relation between image content and protest movements: a) co…
Semantic Clustering for Visual Data
Social media have gone through an overall visual turn. From the text-first nature of former Twitter or the first era of Facebook, we now face platforms that are visual first (if not visual only) both in terms of design and usage. This poses new challenges for researchers that aim at understanding this growing amount of data from a computational or quantitative perspective. Methods developed within the domain of computer vision were developed for …
Computer Science (8 works) · Complex Network Analysis Techniques (7 works) · Opinion Dynamics and Social Influence (6 works) · Artificial Intelligence (5 works) · Mathematics (4 works) · Climate change (3 works) · Climate Change Communication and Perception (3 works) · Data mining (3 works) · Psychology (3 works) · Social media (3 works)