Champions for social good: How can we discover social sentiment and attitude-driven patterns in prosocial communication?

• Main Authors: MUKKAMALA, Raghava Rao, KAUFFMAN, Robert J., HENRIKSEN, Helle Zinner
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Data Science for Social Good; Deep Learning; Influencers; Machine Learning; Natural Language Processing; Prosocial Behavior; Sentiment Analytics; Social Informedness Theory; Social Outreach; Twitter; Databases and Information Systems; Organizational Communication; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/8376; https://ink.library.smu.edu.sg/context/sis_research/article/9379/viewcontent/Champions_for_Social_Good__How_Can_We_Discover_Social_Sentiment_a__1_.pdf
• Institution: Singapore Management University

The UN High Commissioner on Refugees (UNHCR) is pursuing a social media strategy to inform people about displaced populations and refugee emergencies. It is actively engaging public figures to increase awareness through its prosocial communications and improve social informedness and support for pol...