a narrative inquiry into the interpretation of online deep fake content by generation x women in Dasmariñas, Cavite Manuel, Sebastian Jacob D. author Yulas, Kia Khasandra P. author text 2026 monographic eng

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ix, 127 pages ; 28 cm. This study examined how Generation X women in Dasmariñas City understand, recognize, and evaluate deepfake content as well as how their perceptions and backgrounds affect how they react to manipulated online content. The study investigated how participants make meaning of deepfakes in general content, political material, and entertainment media through their personal interpretations and life experiences using a qualitative research methodology based on narrative analysis. The results show that participants had a basic conceptual understanding of deepfakes, which they typically define as digitally altered or Al-generated media that modifies voices, images, or videos to make fake content seem authentic. Participants mostly used visual and auditory clues, such as unusual facial textures, overly clear or distorted images, mismatched lip movements, and irregular body movement, to identify deepfake content. Their personal narratives about what seems genuine and what seems artificial were molded by these indications. Participants employed both straightforward and deliberate evaluation techniques, such as visiting other websites, depending on reliable news reports on television, reading comments, and occasionally disregarding dubious articles. It was found that their cautious conduct was influenced more by their exposure to the internet and their own online experiences, particularly by coming across false information or scams. Although many participants still believed that these concerns were more likely to damage others, they did indicate knowledge of hazards like misinformation, fraud, reputational harm, and the vulnerability of younger audiences. Overall, the study shows that Dasmariñas City's Generation X women have modest evaluative skills and developing awareness, but they are still vulnerable to more complex deepfake content. Raydi Erica F. Fernandez, Sebastian Jacob D. Manuel, and Kia Khasandra P. Yulas. Includes bibliographical references T ABCOM F47 2026 261110 20261110111423.0