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The Understanding Visual Language in Palestine-Israel conflict humanitarian Crowdfunding Campaigns:: The Role of Machine Learning (AWS Rekognition) Tafakur, Muhammad; Zpalanzani , Alvanov
Wimba : Jurnal Komunikasi Visual Vol. 16 No. 1 (2025): Wimba: Jurnal Komunikasi Visual
Publisher : KK Komunikasi Visual & Multimedia Fakultas Seni Rupa dan Desain Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jkvw.2024.16.1.3

Abstract

Indonesia is widely acknowledged for its significant generosity globally, rooted deeply in cultural inclinations towards charitable activities and donations. This study explores the role of visual language in humanitarian crowdfunding campaigns, focusing on the Palestine-Israel conflict, and highlights the pivotal role of machine learning, specifically AWS Rekognition and Digital Content Analysis, in enhancing these campaigns. It categorizes campaign images into classifications such as superior fundraising activities, success levels, and degrees of poverty porn, leveraging demographic factors and thematic content to enhance campaign effectiveness. The study emphasizes how machine learning facilitates strategic deployment of visual elements—such as optimized shot composition, scale variations, and naturalistic portrayals—to ethically enhance viewer empathy and perception. Insights aim to deepen understanding of machine learning’s crucial role in shaping donor behavior and campaign success, proposing future directions in refining algorithms and ethical guidelines for impactful visual representation in humanitarian contexts. Keywords: Visual Language, Humanitarian Fundraising, AWS Rekognition, Poverty Porn, Digital content Analysist.
Wayfinding and Evacuation in Stadiums: A Systematic Review of Spatial, Perceptual, and Crowd Management Factors Tafakur, Muhammad
TAMA: Journal of Visual Arts Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026): TAMA: JOURNAL OF VISUAL ART VOLUME 4 NO. 1 APRIL 2026
Publisher : Faculty Of Arts and Design Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61405/j4yxmf38

Abstract

Wayfinding plays a crucial role in ensuring safe evacuation in complex, high-density environments such as stadiums. However, existing research tends to examine spatial design, human perception, and crowd management as separate domains, resulting in fragmented understanding of evacuation performance. This study presents a structured literature review to synthesize key factors influencing wayfinding in emergency contexts. The review identifies three major dimensions: (1) spatial and technical factors, including legibility, visibility, and signage systems; (2) human perceptual and psychological factors, such as decision-making under stress and behavioral responses; and (3) organizational factors, including crowd management and evacuation planning. The findings reveal that evacuation inefficiencies often arise from the lack of integration among these dimensions. This paper proposes a conceptual synthesis positioning wayfinding as a socio-spatial system, offering a more holistic framework for future research and design practice in stadium safety.   Keywords: Wayfinding; Emergency Evacuation; Spatial Cognition; Crowd Management (Font Times New Roman,10pt, italic)