Understanding Visual Language in Palestine-Israel conflict humanitarian Crowdfunding Campaigns:

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.