CITATION.cff

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