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Do you want to push news, videos, songs, or pictures to user panels and see how they react? We got you covered! Informfully is an all-in-one content delivery platform that allows you to set up your user studies within minutes. No coding required! Run it on Android, iOS, or in your browser. Give it a try and download it right now!
Informfully is fully open-source. Become a member today!
Thank you for choosing Informfully! Access the code on GitHub and become part of our community. We’d love to hear your feedback and welcome any contributions. Don’t hesitate to reach out at info@informfully.ch.
As part of Informfully's commitment to research, the services are offered free of charge to research institutions. Take a look at the projects below to see how Informfully was successfully used in the past to support research.
If you use any Informfully code/repository in a scientific publication, we ask you to cite the following papers:
- Informfully - Research Platform for Reproducible User Studies, Heitz et al., Proceedings of the 18th ACM Conference on Recommender Systems, 2024.
@inproceedings{heitz2024informfully,
title={Informfully - Research Platform for Reproducible User Studies},
author={Heitz, Lucien and Croci, Julian A and Sachdeva, Madhav and Bernstein, Abraham},
booktitle={Proceedings of the 18th ACM Conference on Recommender Systems},
year={2024}
}- Deliberative Diversity for News Recommendations - Operationalization and Experimental User Study, Heitz et al., Proceedings of the 17th ACM Conference on Recommender Systems, 813--819, 2023.
@inproceedings{heitz2023deliberative,
title={Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study},
author={Heitz, Lucien and Lischka, Juliane A and Abdullah, Rana and Laugwitz, Laura and Meyer, Hendrik and Bernstein, Abraham},
booktitle={Proceedings of the 17th ACM Conference on Recommender Systems},
pages={813--819},
year={2023}
}- Benefits of Diverse News Recommendations for Democracy: A User Study, Heitz et al., Digital Journalism, 10(10): 1710--1730, 2022.
@article{heitz2022benefits,
title={Benefits of diverse news recommendations for democracy: A user study},
author={Heitz, Lucien and Lischka, Juliane A and Birrer, Alena and Paudel, Bibek and Tolmeijer, Suzanne and Laugwitz, Laura and Bernstein, Abraham},
journal={Digital Journalism},
volume={10},
number={10},
pages={1710--1730},
year={2022},
publisher={Taylor \& Francis}
}You are welcome to contribute to the Informfully ecosystem and become a part of our community. Feel free to:
- Fork any of the Informfully repositories.
- Suggest new features in Future Release.
- Make changes and create pull requests.
Please post your feature requests and bug reports in our GitHub issues section.
Released under the MIT License. (Please note that the respective copyright licenses of third-party libraries and dependencies apply.)