Nataliia Laba
Biographic Data
| ID | 4897186 |
|---|---|
| NAME | Nataliia Laba |
| GIVEN NAMES | Nataliia |
| FAMILY NAME | Laba |
| SIGNATURE | LABA N |
| AFFILIATIONS | University of Groningen |
| ORCID | 0000-0003-0724-1467 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Whose imagination? Conflicting narratives and sociotechnical futures of visual generative AI
Conceptually informed by sociotechnical imaginaries , this article asks how visual generative artificial intelligence (genAI) is viewed by those who adopt or resist this technology, and why, drawing evidence from YouTube discussions. Firstly, visual genAI is framed as a natural progression of technologies that enhance creativity, increase productivity, and democratize art, echoing the prevailing narratives of Silicon Valley. Secondly, visual genA…
AI is not a tool
“The architect of the invasion” vs. “a symbol of resilience”: How AI chatbots frame Zelenskyy, Putin and the Russia–Ukraine war
This qualitative content analysis conducted in November 2024 examines how four AI chatbots – OpenAI’s ChatGPT, Microsoft’s Copilot, Google’s Gemini, and Anthropic’s Claude – frame the Russia–Ukraine war. The chatbots generally utilized similar emphasis, tonality, and moral judgements as most US and European news organizations, with Russia framed as an “aggressor” and Ukraine as a victim of the aggression. These framing similarities were even more…
Memory of the multitude and representation in AI-generated images of war
This study addresses how AI-generated images of war are changing the making of memory. Instead of asking how AI-generated images affect individual recall, we focus on how they communicate specific representations, recognising that such portrayals can cultivate particular assumptions and beliefs. Drawing on memory of the multitude, visual social semiotics, and cultivation/desensitisation theories, we analyse how visual generative AI mediates the r…
From image to identity icon: Discourses of organizational visual identity on Australian university homepages
This article explores how universities construe organizational identities and engage digital audiences through images on web homepages. Combining visual content analysis and a discourse-analytic approach informed by social semiotics, I interpret the discourses of identity in 400 images from organizational homepages of four top-tier public universities in Sydney, Australia – University of Sydney, University of New South Wales, University of Techno…
Engine for the imagination? Visual generative media and the issue of representation
Visual generative media represent a novel technology with the potential to mediate public perceptions of political events, conflicts, and wars. Seeking to understand a visual culture in which algorithms become integrated into human processes of memory mediatization, this study addresses representation in AI-generated war imagery. It frames AI image generation as a socio-technical practice at the nexus of humans, machines, and visual culture, chal…
Beyond magic: Prompting for style as affordance actualization in visual generative media
As a sociotechnical practice at the nexus of humans, machines, and visual culture, text-to-image generation relies on verbal prompts as the primary technique to guide generative models. To align desired aesthetic outcomes with computer vision, human prompters engage in extensive experimentation, leveraging the model’s affordances through prompting for style . Focusing on the interplay between machine originality and repetition, this study address…
Engine for the imagination? Visual generative media and the issue of representation
Visual generative media represent a novel technology with the potential to mediate public perceptions of political events, conflicts, and wars. Seeking to understand a visual culture in which algorithms become integrated into human processes of memory mediatization, this study addresses representation in AI-generated war imagery. It frames AI image generation as a socio-technical practice at the nexus of humans, machines, and visual culture, chal…
Beyond magic: Prompting for style as affordance actualization in visual generative media
As a sociotechnical practice at the nexus of humans, machines, and visual culture, text-to-image generation relies on verbal prompts as the primary technique to guide generative models. To align desired aesthetic outcomes with computer vision, human prompters engage in extensive experimentation, leveraging the model’s affordances through prompting for style . Focusing on the interplay between machine originality and repetition, this study address…
From image to identity icon: Discourses of organizational visual identity on Australian university homepages
This article explores how universities construe organizational identities and engage digital audiences through images on web homepages. Combining visual content analysis and a discourse-analytic approach informed by social semiotics, I interpret the discourses of identity in 400 images from organizational homepages of four top-tier public universities in Sydney, Australia – University of Sydney, University of New South Wales, University of Techno…
Engine for the imagination? Visual generative media and the issue of representation
Visual generative media represent a novel technology with the potential to mediate public perceptions of political events, conflicts, and wars. Seeking to understand a visual culture in which algorithms become integrated into human processes of memory mediatization, this study addresses representation in AI-generated war imagery. It frames AI image generation as a socio-technical practice at the nexus of humans, machines, and visual culture, chal…
Beyond magic: Prompting for style as affordance actualization in visual generative media
As a sociotechnical practice at the nexus of humans, machines, and visual culture, text-to-image generation relies on verbal prompts as the primary technique to guide generative models. To align desired aesthetic outcomes with computer vision, human prompters engage in extensive experimentation, leveraging the model’s affordances through prompting for style . Focusing on the interplay between machine originality and repetition, this study address…
Memory of the multitude and representation in AI-generated images of war
This study addresses how AI-generated images of war are changing the making of memory. Instead of asking how AI-generated images affect individual recall, we focus on how they communicate specific representations, recognising that such portrayals can cultivate particular assumptions and beliefs. Drawing on memory of the multitude, visual social semiotics, and cultivation/desensitisation theories, we analyse how visual generative AI mediates the r…
Whose imagination? Conflicting narratives and sociotechnical futures of visual generative AI
Conceptually informed by sociotechnical imaginaries , this article asks how visual generative artificial intelligence (genAI) is viewed by those who adopt or resist this technology, and why, drawing evidence from YouTube discussions. Firstly, visual genAI is framed as a natural progression of technologies that enhance creativity, increase productivity, and democratize art, echoing the prevailing narratives of Silicon Valley. Secondly, visual genA…
AI is not a tool
“The architect of the invasion” vs. “a symbol of resilience”: How AI chatbots frame Zelenskyy, Putin and the Russia–Ukraine war
This qualitative content analysis conducted in November 2024 examines how four AI chatbots – OpenAI’s ChatGPT, Microsoft’s Copilot, Google’s Gemini, and Anthropic’s Claude – frame the Russia–Ukraine war. The chatbots generally utilized similar emphasis, tonality, and moral judgements as most US and European news organizations, with Russia framed as an “aggressor” and Ukraine as a victim of the aggression. These framing similarities were even more…
Generative grammar (4 works) · Art (3 works) · Computer Science (3 works) · Ethics and Social Impacts of AI (3 works) · Narrative (3 works) · Aesthetics (2 works) · Artificial Intelligence (2 works) · Cognitive science (2 works) · Digital Games and Media (2 works) · Multimedia (2 works)