Paper Type
Short
Paper Number
PACIS2025-1064
Description
Anthropomorphic emojis have emerged as a powerful tool in digital communication, enhancing emotional engagement and message clarity. While extensively used in branding and conversational agents, their impact on sustainability-related social media content remains underexplored. This study examines how these anthropomorphic emojis influence user engagement with sustainability messages by making complex, abstract issues more relatable and emotionally compelling. We argue that anthropomorphic emojis amplify emotional resonance, driving higher interaction on platforms like Twitter. Furthermore, we investigate how their interplay with personalized language and motivational expressions further enhances engagement. Grounded in the Emotion as Social Information (EASI) model, this research provides new insights into the role of human-like visual cues in fostering deeper user connections and encouraging action on sustainability issues. Our findings contribute to the fields of human-computer interaction and digital communication strategies, offering practical implications for more effective sustainability messaging.
Recommended Citation
Zhong, Yunzhou; Lee, Philip Tin Yun; and Deng, Bingjie, "Evaluating the Impact of Anthropomorphic Emojis on Digital Sustainability Content Engagement" (2025). PACIS 2025 Proceedings. 3.
https://aisel.aisnet.org/pacis2025/hci/hci/3
Evaluating the Impact of Anthropomorphic Emojis on Digital Sustainability Content Engagement
Anthropomorphic emojis have emerged as a powerful tool in digital communication, enhancing emotional engagement and message clarity. While extensively used in branding and conversational agents, their impact on sustainability-related social media content remains underexplored. This study examines how these anthropomorphic emojis influence user engagement with sustainability messages by making complex, abstract issues more relatable and emotionally compelling. We argue that anthropomorphic emojis amplify emotional resonance, driving higher interaction on platforms like Twitter. Furthermore, we investigate how their interplay with personalized language and motivational expressions further enhances engagement. Grounded in the Emotion as Social Information (EASI) model, this research provides new insights into the role of human-like visual cues in fostering deeper user connections and encouraging action on sustainability issues. Our findings contribute to the fields of human-computer interaction and digital communication strategies, offering practical implications for more effective sustainability messaging.
Comments
HCI