CritiSense: Critical Digital Literacy and Resilience Against Misinformation
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2026
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916034653454336 |
|---|---|
| author | Alam, Firoj Ahmad, Fatema Shahroor, Ali Ezzat Kmainasi, Mohamed Bayan Sartori, Elisa Martino, Giovanni Da San Hasnat, Abul Ali, Raian |
| author_facet | Alam, Firoj Ahmad, Fatema Shahroor, Ali Ezzat Kmainasi, Mohamed Bayan Sartori, Elisa Martino, Giovanni Da San Hasnat, Abul Ali, Raian |
| contents | Misinformation on social media undermines informed decision-making and public trust. Prebunking offers a proactive complement by helping users recognize manipulation tactics before they encounter them in the wild. We present CritiSense, a mobile media-literacy app that builds these skills through short, interactive challenges with instant feedback. It is the first multilingual (supporting nine languages) and modular platform, designed for rapid updates across topics and domains. We report a usability study with 93 users: 83.9% expressed overall satisfaction and 90.1% rated the app as easy to use. Qualitative feedback indicates that CritiSense helps improve digital literacy skills. Overall, it provides a multilingual prebunking platform and a testbed for measuring the impact of microlearning on misinformation resilience. Over 6 months, we have reached 500+ active users. It is freely available to all users on the Apple App Store (https://apps.apple.com/us/app/critisense/id6749675792) and Google Play Store (https://play.google.com/store/apps/details?id=com.critisense&hl=en). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_16672 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | CritiSense: Critical Digital Literacy and Resilience Against Misinformation Alam, Firoj Ahmad, Fatema Shahroor, Ali Ezzat Kmainasi, Mohamed Bayan Sartori, Elisa Martino, Giovanni Da San Hasnat, Abul Ali, Raian Artificial Intelligence Computation and Language Computers and Society 68T50 I.2.7 Misinformation on social media undermines informed decision-making and public trust. Prebunking offers a proactive complement by helping users recognize manipulation tactics before they encounter them in the wild. We present CritiSense, a mobile media-literacy app that builds these skills through short, interactive challenges with instant feedback. It is the first multilingual (supporting nine languages) and modular platform, designed for rapid updates across topics and domains. We report a usability study with 93 users: 83.9% expressed overall satisfaction and 90.1% rated the app as easy to use. Qualitative feedback indicates that CritiSense helps improve digital literacy skills. Overall, it provides a multilingual prebunking platform and a testbed for measuring the impact of microlearning on misinformation resilience. Over 6 months, we have reached 500+ active users. It is freely available to all users on the Apple App Store (https://apps.apple.com/us/app/critisense/id6749675792) and Google Play Store (https://play.google.com/store/apps/details?id=com.critisense&hl=en). |
| title | CritiSense: Critical Digital Literacy and Resilience Against Misinformation |
| topic | Artificial Intelligence Computation and Language Computers and Society 68T50 I.2.7 |
| url | https://arxiv.org/abs/2603.16672 |