Luigi Arminio
Biographic Data
| ID | 5034446 |
|---|---|
| NAME | Luigi Arminio |
| GIVEN NAMES | Luigi |
| FAMILY NAME | Arminio |
| SIGNATURE | ARMINIO L |
| AFFILIATIONS | IT University of Copenhagen |
| ORCID | 0009-0006-6561-8292 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
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 …
Tracing the Sociolinguistic Patterns of Polarization in the Facebook Debate on Climate Action
This study embarks on a comprehensive exploration of sociolinguistic dynamics within the polarized climate change discourse on Facebook, focusing on the communicational patterns across pro-climate action and anti-climate action groups. Our research objectives mainly focus on (1) understanding the variation in language codes between pro-climate action and anti-climate action groups and (2) inspecting how these linguistic nuances are perceived by t…
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…
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…
Tracing the Sociolinguistic Patterns of Polarization in the Facebook Debate on Climate Action
This study embarks on a comprehensive exploration of sociolinguistic dynamics within the polarized climate change discourse on Facebook, focusing on the communicational patterns across pro-climate action and anti-climate action groups. Our research objectives mainly focus on (1) understanding the variation in language codes between pro-climate action and anti-climate action groups and (2) inspecting how these linguistic nuances are perceived by t…
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…
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 …
Climate change (3 works) · Climate Change Communication and Perception (3 works) · Psychology (3 works) · Cognitive psychology (2 works) · Image Retrieval and Classification Techniques (2 works) · Mathematics (2 works) · Media Influence and Health (2 works) · Media Studies and Communication (2 works) · Social Media and Politics (2 works) · Advanced Image and Video Retrieval Techniques (1 works)