mlsanityData to 14 Oct 2026

CritiSense: Critical Digital Literacy and Resilience Against Misinformation

arXiv 2603.16672 ↗First posted 17 Mar 2026cs.AI cs.CL cs.CYcited by 0

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Abstract (arXiv)

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).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 65 references that are in the map. First posted on arXiv 17 Mar 2026.

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13 of 65 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2020The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memescited by 490
  4. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 362
  5. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  6. 2019Fine-Grained Analysis of Propaganda in News Articlescited by 133
  7. 2020Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societycited by 72
  8. 2020Stance Prediction and Claim Verification: An Arabic Perspectivecited by 25
  9. 2024Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articlescited by 21
  10. 2021Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Documentcited by 19
  11. 2023Large Language Models for Propaganda Span Annotationcited by 19
  12. 2025PropXplain: Can LLMs Enable Explainable Propaganda Detection?cited by 8
1 more
  1. 2026MemeLens: Multilingual Multitask VLMs for Memescited by 6

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