Informfully

Abraham Bernstein Oana Inel Lucien Heitz

Informfully is a research platform for conducting empirical field studies. At its core, Informfully is a smartphone application for Android and iOS to push text, audio, and video content to users. It allows researchers to log all activities of participants and offers in-app surveys to facilitate their user studies.

In the context of our own research, Informfully is used as a news aggregator platform, where we study the impact of diversity-optimized news recommender algorithms on user engagement rates, user satisfaction, and political preferences. New features are regularly added to the platform.

For more information, pleas visit the official website.

Follow our research projects on online news inspired and powered by Informfully:

Informfully – Research Platform for Reproducible User Studies
IDEA – Informfully Dataset with Enhanced Attributes
Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge
An Empirical Exploration of Perceived Similarity between News Article Texts and Images
Prompt-based Alignment of Headlines and Images Using OpenCLIP
Classification of Normative Recommender Systems
Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study
Benefits of Diverse News Recommendations for Democracy: A User Study
Spotlight on Artificial Intelligence and Freedom of Expression: A Policy Manual
Diversity in News Recommendation

Explore everything Informfully has to offer on GitHub:

GitHub repository: GitHub main repositories.
Platform Repository: Get full access to the Informfully platform (app and web).
Scrapers Repository: User our content scrapers to get your hands on news articles.
Datasets Repository: See a sample export of all the information Informfully gives you.
Recommenders Repository: Showcasing all our diversity-optimized recommender algorithms.