How to Mitigate the Risk of Misinforming in Case of Mistrust?

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Abstract

This chapter discusses techniques to mitigate the risk of misinforming and serves as link to the next part of the book. It introduces the reader to different techniques used in mitigating various categories of misinforming hazards. The objectives of discussed business practices are to enhance the trust toward providers and received information. Techniques used in the following circumstances are included: 1) Techniques to reduce probability for rejecting useful information, and 2) Techniques to allow verification of received information. Traceability of information is essential to enhance trust by verifying origin and quality of raw data, and transparency and adequacy of applied data processing to build the outcomes. Techniques allowing traceability in both breadth and depth of the way the message is created. The role of visualization in indirect, via computer applications, communication is essential in verification in big data circumstances.

Publisher

IGI Global

Reference7 articles.

1. Challenges and opportunities with big data visualization

2. BucklandM. (1991). Information and Information Systems. Praeger.

3. Trust in Learning from Big Data: The Two Sides of the Same Coin;D.Christozov;Issues in Information Systems,2020

4. Big Data Literacy

5. Quality of Informing: Credibility Provisional Model of Functional Dependencies

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