Key research themes
1. What motivates users to create and share user-generated content (UGC) online?
This theme investigates the psychological, attitudinal, and social factors driving individuals to produce and distribute UGC. Understanding these motivations is pivotal as UGC shifts media control from traditional gatekeepers to users, creating niche and interactive media environments. Research focuses on how attitudes, social interaction desires, and self-related functions influence content creation, with implications for media theory, marketing, and platform design.
2. How is user-generated content utilized, analyzed, and leveraged for research and business insights in various sectors?
Research in this theme focuses on methodologies for collecting, analyzing, and exploiting vast volumes of UGC across domains such as tourism, hospitality, service industries, and digital marketing. It addresses both the opportunities and challenges presented by big data volumes, including data access, ethical concerns, and information quality. Methodological advancements include natural language processing, topic modeling, and machine learning to extract actionable insights from textual, visual, and social media content.
3. How can the quality and veracity of user-generated content be assessed and enhanced, especially for critical applications like journalism and knowledge platforms?
This theme addresses the challenges of ensuring the reliability, accuracy, and overall quality of UGC. It explores interactive quality analytics, verification methodologies, and computational tools including machine learning algorithms and multimedia forensics that support content assessment. These investigations are crucial for mitigating misinformation risks on social and news media and improving content curation and editorial processes.