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Status : Active
Research Topic : Media
Socio-Economic Objective : Artificial Intelligence
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT230100475

    Funder
    Australian Research Council
    Funding Amount
    $959,828.00
    Summary
    Aligning personalised news recommendations with the public interest . The project aims to investigate the growth of personalised recommendations in the Australian news sector, which sees readers and automated systems collectively adopting curatorial roles previously undertaken by editors. The research expects to provide the first evidence base around the adoption and deployment of personalised recommendations across the Australian news media. Expected outcomes include enhancing our understanding .... Aligning personalised news recommendations with the public interest . The project aims to investigate the growth of personalised recommendations in the Australian news sector, which sees readers and automated systems collectively adopting curatorial roles previously undertaken by editors. The research expects to provide the first evidence base around the adoption and deployment of personalised recommendations across the Australian news media. Expected outcomes include enhancing our understanding of how to sustain the important democratic role that the institution of journalism plays in a personalised and automated environment. Expected benefits include the provision of robust evidence to inform industry and policymakers, and support the development of best practice across the news media sector.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT230100021

    Funder
    Australian Research Council
    Funding Amount
    $1,113,421.00
    Summary
    Home helper robots: Understanding our future lives with human-like AI. This fellowship aims to understand and plan for the social effects of embedding ‘cute’ home helper robots into people’s everyday lives. The project is expected to generate new knowledge and resources to understand and respond to the emerging opportunities and risks associated with home helper robots, including their ability to support household tasks, and to provide child and aged care and companionship. Expected outcomes inc .... Home helper robots: Understanding our future lives with human-like AI. This fellowship aims to understand and plan for the social effects of embedding ‘cute’ home helper robots into people’s everyday lives. The project is expected to generate new knowledge and resources to understand and respond to the emerging opportunities and risks associated with home helper robots, including their ability to support household tasks, and to provide child and aged care and companionship. Expected outcomes include an improved understanding of anthropomorphised robots in everyday life and innovation in home helper robot theory and imaginaries. This should provide benefits such as informing robot design and policy to improve social outcomes, consumer protections and human-robot relationships.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT230100563

    Funder
    Australian Research Council
    Funding Amount
    $1,113,857.00
    Summary
    Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating .... Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.
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