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50 строки
1.5 KiB
YAML
50 строки
1.5 KiB
YAML
cff-version: 1.2.0
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title: >-
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AMMICO, an AI-based Media and Misinformation Content
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Analysis Tool
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message: >-
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If you use this software, please cite it using the
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metadata from this file.
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type: software
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authors:
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- family-names: "Dumitrescu"
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given-names: "Delia"
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orcid: "https://orcid.org/0000-0002-0065-3875"
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- family-names: "Ulusoy"
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given-names: "Inga"
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orcid: "https://orcid.org/0000-0001-7294-4148"
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- family-names: "Andriushchenko"
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given-names: "Petr"
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orcid: "https://orcid.org/0000-0002-4518-6588"
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- family-names: "Daskalakis"
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given-names: "Gwydion"
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orcid: "https://orcid.org/0000-0002-7557-1364"
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- family-names: "Kempf"
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given-names: "Dominic"
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orcid: "https://orcid.org/0000-0002-6140-2332"
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- family-names: "Ma"
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given-names: "Xianghe"
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identifiers:
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- type: doi
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value: 10.5117/CCR2025.1.3.DUMI
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repository-code: 'https://github.com/ssciwr/AMMICO'
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url: 'https://ssciwr.github.io/AMMICO/build/html/index.html'
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abstract: >-
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ammico (AI-based Media and Misinformation Content Analysis
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Tool) is a publicly available software package written in
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Python 3, whose purpose is the simultaneous evaluation of
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the text and graphical content of image files. After
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describing the software features, we provide an assessment
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of its performance using a multi-country, multi-language
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data set containing COVID-19 social media disinformation
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posts. We conclude by highlighting the tool’s advantages
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for communication research.
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keywords:
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- nlp
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- translation
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- computer-vision
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- text-extraction
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- classification
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- social media
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license: MIT
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