Actors, Agents, and Avatars: Visualizing Digital Humans in E-Commerce and Social Media

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https://hdl.handle.net/10125/109943

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    The Influence of Artificial Intelligence Disclaimers on Video Viewer Experience
    (2025-01-07) Nieminen, Paavo; Mattila, Osmo; Parvinen, Petri
    With computer-generated humanlike avatars gaining increasing attention, more debate about whether the audience should or should not be advised about AI usage in content production has been brought up. In this research, we aimed to understand how informing the audience about the use of AI affects the experience. Participants (n = 107) randomly evaluated videos with or without seeing a disclaimer telling that the video had been generated or manipulated by using artificial intelligence. Based on earlier literature, we gathered different measurements about the qualities of the human character seen in the videos. We hypothesized that a disclaimer would mainly affect the experience negatively, but our data doesn’t endorse this.
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    Loneliness Detection from Social Media: A Text Analytics Approach
    (2025-01-07) Fan, Winston; Fan, Jonathan; Yu, Jiyuan; Zhang, Min; Du, Qianzhou; Tong, Ling; Fan, Weiguo (Patrick)
    In an era where digital interactions significantly influence our social interactions, understanding how loneliness is expressed online becomes paramount. This study delves into the linguistic representation of loneliness on Reddit, utilizing techniques in natural language processing (NLP) and machine learning. By employing frequency-based, similarity-based, and association-based methods, a unified lexicon was generated, demonstrating promising performance in classifying loneliness-related posts. The identification and validation of 536 most impactful entries from this lexicon underscore their predictive power and genuine relevance as markers of loneliness. This research advances our comprehension of loneliness within digital contexts and underscores the potential of computational methods in detecting and addressing loneliness online. The identified lexicon lays the groundwork for AI-driven mental health interventions, underscoring the significance of language in understanding and addressing loneliness in the digital age.