Conference Agenda
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Visual Experiences - Remote
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Presentations | ||
VISUAL MEDIA IN MOTION: CONCEPTUALIZING THE SHORT VIDEO FORMAT WITHIN VISUAL PLATFORMS Università della Svizzera Italiana, Switzerland Social media has become increasingly visually focused with the rise of visual-centric platforms like Instagram and TikTok, whose formats reshaped online aesthetics and user experience. In these mobile-first spaces, vertical short videos have become a dominant form of communication and constitute a transformative format of visual platforms, having redefined digital storytelling, content creation, and user interaction. The growing prominence of short videos has fostered a rich and expanding body of research; however, a universally accepted definition of “short videos” remains elusive, and terminology varies across studies. In particular, while research on visual communication has focused extensively on static images, there is a lack of conceptual work on moving images designed for mobile consumption, that is crucial for developing a tailored approach to analyze their multiple dimensions. Drawing from format theory, social media studies, and visual communication, we develop a conceptual definition of short videos as a distinctive media format based on a comprehensive overview of their structural characteristics from a cross-platform perspective. We illustrate the technical infrastructure and audiovisual features of the format, including limited length and vertical display aligned with smartphone interfaces that foster fast, immersive video consumption; creative customization, auditory affordances, interactive features, cross-platform transitions, and the typical information conveyed. Moreover, we discuss how the interplay of these structural features fosters both collective and individual experiences, thereby shaping user meaning-making. We conclude with methodological directions for future research, highlighting the need for tailored methods to examine the short video format and its multifaceted components. LOWER THAN LIFE: THE NEO-FOLK ART IN CHINA'S ERA OF SHORT VIDEOS University College London, United Kingdom The advent of short video platforms in China has heralded a new chapter for Neo-folk art—a contemporary aesthetic that melds folk utopia, pop culture, and propaganda. This paper explores Neo-folk art as a self-sustained system within the digital age, where it thrives independently thanks to the internet's pervasive influence. Neo-folk art remains a testament to the creative spirit originating from everyday life and transcending it. This paper argues that the proliferation of short videos has brought rural and urban cultures into the wild limelight, showcasing a raw and untamed creativity. Traditional folk customs, beliefs, and arts, once confined to specific localities, are now experiencing a form of dissemination and transformation that molds them to fit new media formats. With examples ranging from Fujian's "You Shen" rituals evolving new deities, this study highlights the metamorphosis of folk artistry. Moreover, local cultural and tourism bureaus have begun to adapt content for short video dissemination, emphasizing the adaptability of folk expressions to modern-day communication channels. However, internet-born subcultures like "Smart (Sha Ma Te)" confront the dichotomy of being both celebrated and regulated, revealing the complexities of the digital realm. This study seeks to delineate how Neo-folk art, through the medium of short videos, represents a dynamic intersection of traditional ethos and digital modernity, crafting a new narrative for Chinese folk culture in the global artistic and social landscape. From the Internet to the Everyday: An Exploration of Visual Representations of Peace 1Università della Svizzera italiana, Switzerland; 2Karlstad University While extensive research has explored the role of images in war, studies on peace imagery remain limited. This gap is significant given images’ ability to shape public perception, evoke emotions, and convey immediacy, which is often absent in text. Moreover, dominant visual narratives tend to frame peace within a binary war-peace paradigm, overlooking the diverse, coexisting forms of peace emphasized in contemporary peace research. This study addresses these gaps by examining peace imagery through a dual approach: analyzing images selected by over 200 peacebuilding experts and conducting a systematic Google Images search using 15 peace-related keywords, thereby employing various VPNs. Using image-type analysis, the study categorizes and interprets recurring motifs, revealing distinct differences between participant-selected images and those retrieved from online searches. While dominant online peace imagery often features symbols, text-based visuals, and staged representations, expert-selected images highlight more nuanced portrayals of everyday peace, emphasizing local, lived experiences. These findings underscore the need to move beyond simplistic peace symbols and incorporate diverse, grassroots-driven visual narratives. By bridging participatory research with digital methodologies, this study enhances our understanding of peace representation and its implications for global peace communication. The results highlight the role of the Internet in shaping dominant peace imagery while advocating for a more inclusive, locally grounded visual discourse. This research ultimately contributes to expanding visual peace studies and integrating diverse perspectives into broader peacebuilding efforts. Semantic Clustering for Visual Data 1IT University of Copenhagen, Denmark; 2Uppsala University, Sweden 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 tasks (e.g., object recognition, image segmentation), that are of not always of immediate use in research dealing with users or social practices and have thus proved to be of little use. To address the limitations shown by current CNN-based approaches, we propose and evaluate a Visual LLM-based semantic clustering methodology that can capture subtle social and cultural meanings within images, going beyond mere visual or spatial similarities. |