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How Can Mass Communication Research Explain Disinformation?

Author

Listed:
  • José J. M. Grangeiro

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

  • Déborah S. Pinheiro

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

  • France H. D’Assumpção

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

  • Júlia C. A. P. Peres

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

  • Kilma M. D. de Araújo

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

  • Sara R. Silva

    (Master’s in Digital Communication, Brazilian Institute of Education, Development, and Research (IDP), Brazil)

Abstract

The article explores the role of mass communication theories in understanding disinformation, tracing historical examples and theoretical foundations. It examines how communication technologies, initially tools for societal connection, became instruments for authoritarian control, particularly in the 19th and 20th centuries. Key theories by Walter Lippmann, Harold Lasswell, and Paul Lazarsfeld are analyzed to illustrate how mass communication manipulates public opinion, shaping pseudo-environments and reinforcing ideological cohesion. The paper emphasizes the enduring influence of opinion leaders in spreading disinformation and discusses contemporary digital challenges, including the fragmentation of public discourse and the psychological impacts of cognitive overload.

Suggested Citation

  • José J. M. Grangeiro & Déborah S. Pinheiro & France H. D’Assumpção & Júlia C. A. P. Peres & Kilma M. D. de Araújo & Sara R. Silva, 2024. "How Can Mass Communication Research Explain Disinformation?," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 1341-1347, November.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:11:p:1341-1347
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