Misinformation Detection

This work highlights the evolution of techniques within misinformation detection. It provides an overview of the types of misinformation, classification strategies, strengths and weaknesses, and potential solutions for open issues. This comprehensive review is helpful for future research as a resource for successful solutions and possible ideas.

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Misinformation Detection: A Survey of AI Techniques and Research Opportunities highlights the evolution of techniques within misinformation detection. This monograph provides an overview of the types of misinformation, classification strategies, strengths and weaknesses, and potential solutions for open issues. This comprehensive survey is helpful for future research as a resource for successful solutions and possible ideas. The authors first present background information including search strategies in Sections 1 and 2 and identify the types of misinformation in Section 3. The monograph then elaborates on the methods and compares the existing successful techniques from various perspectives in Section 4. Section 5 provides tools and datasets for misinformation detection. Section 6 reviews the challenges and open issues of misinformation and makes suggestions on how one can address those challenges. The monograph concludes in Section 7 with final thoughts on the areas of misinformation detection and an overall analysis of this field.