Emotion is vital to information and message processing, playing a key role in attitude formation. Consequently, creating a mood that evokes an emotional response is essential to any compelling piece of outreach communication. Many nonprofits and charities, despite having established messages, face challenges in creating advocacy campaign videos for social media. It requires significant creative and cognitive efforts to ensure that videos achieve the desired mood across multiple dimensions: script, visuals, and audio. We introduce MoodSmith, an AI-powered system that helps users explore mood possibilities for their message and create advocacy campaigns that are mood-consistent across dimensions. To achieve this, MoodSmith uses emotive language and plotlines for scripts, artistic style and color palette for visuals, and positivity and energy for audio. Our studies show that MoodSmith can effectively achieve a variety of moods, and the produced videos are consistent across media dimensions.

翻译：情感在信息与信息处理中至关重要，在态度形成过程中发挥着关键作用。因此，营造能激发情感反应的氛围，对于任何具有感染力的外联传播作品而言都不可或缺。许多非营利组织与慈善机构尽管拥有成熟的传播内容，但在制作社交媒体倡导活动视频时仍面临挑战。要确保视频在脚本、视觉与音频等多个维度上达到预期情感基调，需要投入大量的创意与认知努力。我们提出MoodSmith系统——一款AI驱动的工具，帮助用户探索其信息内容的情感基调可能性，并创作跨维度情感基调一致的倡导活动。为此，MoodSmith在脚本中运用情感化语言与情节线索，在视觉上采用艺术风格与色彩调色板，在音频中融入积极性与能量特征。研究表明，MoodSmith能够有效实现多种情感基调，且所生成的视频在各媒体维度上保持一致。