Information Distortion

Information Distortion is a phenomenon in information evaluation wherein the content, meaning, or significance of information is systematically altered during acquisition, processing, or dissemination, distinguishing it from faithful representations by introducing bias, inaccuracy, or misrepresentation that deviates from the original informational state.

189

Publications

15.2K

Citations

444

Authors

234

Institutions

Publications per year

2017–2026

48

Authors

444

  1. MG
    Margaret G. Meloy

    Pennsylvania State University, United States

    9 publications · 1.3K citations

    9

    h-index

  2. JE
    J. Edward Russo

    Cornell University, United States

    9 publications · 1.3K citations

    9

    h-index

  3. HL
    Hau L. Lee

    Stanford University, United States

    5 publications · 5.4K citations

    5

    h-index

  4. ML
    Michael L. DeKay

    Carnegie Mellon University, United States

    5 publications · 119 citations

    5

    h-index

  5. AE
    Albert E. Parker

    Montana State University, United States

    5 publications · 97 citations

    5

    h-index

1–5 of 444

Venues

  1. Management Science

    8 publications · 6K citations

    8

    h-index

  2. IEEE Transactions on Information Theory

    4 publications · 223 citations

    4

    h-index

  3. Judgment and Decision Making

    3 publications · 69 citations

    3

    h-index

  4. Journal of Experimental Social Psychology

    3 publications · 129 citations

    3

    h-index

  5. 3

    h-index

1–5