- Author
- Tiago Joseph (UGent) and Michaël Stappers
- Organization
- Abstract
- SMIQQDA (Social Media Interface for Quantitative and Qualitative Data Analysis) is a free, open-source research software for analyzing text-image digital corpora. It supports synthesis, exploration, and annotation while integrating with quantitative text and visual analysis tools, enhancing the methodological toolkit of media, digital, and visual studies. SMIQQDA adapts to diverse multimodal data, including social media posts, news articles, posters, comics, illustrated books, etc.. The software enables database creation (associate, structure, synthesize, and connect data and tools), data editing (clean, update, correct, verify), exploration (display, search, sort, filter), and advanced analysis through free annotation and categorization (content analysis). For a detailed guide to the operation and features of SMIQQDA, please refer to the "Vademecum SMIQQDA” document included with the software (directory: Documentation)
- Keywords
- content analysis, visual analysis, Instagram, social media, multimodal analysis
- License
- LicenseNotListed
- Other license
- GPL-3.0+
- Access
- open access
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01M141XVPMYCFKNXTFBS0B4J06
@misc{01M141XVPMYCFKNXTFBS0B4J06,
abstract = {{SMIQQDA (Social Media Interface for Quantitative and Qualitative Data Analysis) is a free, open-source research software for analyzing text-image digital corpora. It supports synthesis, exploration, and annotation while integrating with quantitative text and visual analysis tools, enhancing the methodological toolkit of media, digital, and visual studies. SMIQQDA adapts to diverse multimodal data, including social media posts, news articles, posters, comics, illustrated books, etc.. The software enables database creation (associate, structure, synthesize, and connect data and tools), data editing (clean, update, correct, verify), exploration (display, search, sort, filter), and advanced analysis through free annotation and categorization (content analysis).
For a detailed guide to the operation and features of SMIQQDA, please refer to the "Vademecum SMIQQDA” document included with the software (directory: Documentation)}},
author = {{Joseph, Tiago and Stappers, Michaël}},
keywords = {{content analysis,visual analysis,Instagram,social media,multimodal analysis}},
language = {{eng}},
publisher = {{Zenodo}},
title = {{SMIQQDA, Social Media Interface for Quantitative and Qualitative Data Analysis}},
url = {{http://doi.org/10.5281/ZENODO.15642544}},
year = {{2026}},
}
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