17 research outputs found

    Mapping AI Arguments in Journalism Studies

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    This study investigates and suggests typologies for examining Artificial Intelligence (AI) within the domains of journalism and mass communication research. We aim to elucidate the seven distinct subfields of AI, which encompass machine learning, natural language processing (NLP), speech recognition, expert systems, planning, scheduling, optimization, robotics, and computer vision, through the provision of concrete examples and practical applications. The primary objective is to devise a structured framework that can help AI researchers in the field of journalism. By comprehending the operational principles of each subfield, scholars can enhance their ability to focus on a specific facet when analyzing a particular research topic

    Digital footprints in non-digital environments: How publicly displayed information invades the right to privacy

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      This study explored the relationship between publicly displayed information and the right to privacy in Zambia and Tanzania. The purpose was to examine whether the behavior displayed by individuals in public environments reveals and undermines their quest for the right to privacy. I asked participants to observe and document the type of clothing an individual wore, the logos or monograms on their clothing or bags, and words spoken in public. This information was then used by Google to identify individuals online. Findings suggest that there is still a disconnect between what people display in non-digital and what they post on social media. However, there is also a growing trend of people leaving a trail of digital footprints that relate to their publicly displayed behaviors
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