Abstract

Contemporary information environments have transformed how information is produced, circulated, and evaluated, especially in social media and platform-mediated communication contexts. Although Information Quality (IQ) and misinformation research has provided important criteria for assessing accuracy, completeness, relevance, credibility, and timeliness, existing approaches offer limited insight into how information preserves meaning, credibility, and contextual integrity under decontextualization, emotional amplification, algorithmic visibility, and strategic manipulation. Addressing this gap, this study introduces Resilient Information Quality (RIQ) as a conceptual and analytical framework for evaluating information resilience in digital communication. An exploratory framework-development design is adopted. The framework integrates six dimensions: Manipulability Resilience, Contextual Transparency, Interpretability, Emotional Framing, Audience Resilience, and Platform Suitability. These dimensions are operationalized through a structured scoring rubric and applied to fourteen analytically constructed communication samples derived from recurring real-world information patterns. The findings classify samples into critical, vulnerable, and robust configurations. Emotionally charged and low-transparency messages show high engagement potential but weak resistance to distortion, while institutional and evidence-based communication shows stronger resilience through contextual grounding, source transparency, and structural coherence. The study concludes that IQ should be assessed not only through correctness, but also through manipulation resistance, contextual credibility, and safe platform adaptation.

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