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Welcome to the Era of Fake News

Author

Listed:
  • Jonathan Albright

    (Graduate School of Journalism, Columbia University, USA)

Abstract

For the news industry, information is used to tell stories, which have traditionally been organized around “facts”. A growing problem, however, is that fact-based evidence is not relevant to a growing segment of the populace. Journalists need facts to tell stories, but they need data to understand how to engage audiences with this accurate information. The implementation of data is part of the solution to countering the erosion of trust and the decay of social discourse across networked spaces. Rather than following “trends”, news organizations should establish the groundwork to make facts “matter” by shaping the narrative instead of following deceptive statements.

Suggested Citation

  • Jonathan Albright, 2017. "Welcome to the Era of Fake News," Media and Communication, Cogitatio Press, vol. 5(2), pages 87-89.
    • Handle: RePEc:cog:meanco:v:5:y:2017:i:2:p:87-89
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    Citations

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    Cited by:

    1. Claudia Rodríguez-Hidalgo & Diana Rivera-Rogel & Luis M. Romero-Rodríguez, 2020. "Information Quality in Latin American Digital Native Media: Analysis Based on Structured Dimensions and Indicators," Media and Communication, Cogitatio Press, vol. 8(2), pages 135-145.
    2. Ryan Suttle & Scott Hogan & Rachel Aumaugher & Matthew Spradling & Zak Merrigan & Jeremy Straub, 2022. "Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities," Data, MDPI, vol. 7(3), pages 1-10, February.
    3. Marko Selakovic, 2020. "Typology of Business-Related Fake News Online: A Literature Review," GATR Journals jmmr259, Global Academy of Training and Research (GATR) Enterprise.
    4. Ari Haasio & Markku Mattila & Anu Ojaranta, 2018. "The Role of Libraries in Avoiding Hate Speech and False Information," Information and Communication Sciences Research, University of Bucharest, Faculty of Letters, Department of Communication Sciences, issue 22, pages 9-15, April.
    5. Matthew Spradling & Jeremy Straub, 2022. "Evaluation of the Factors That Impact the Perception of Online Content Trustworthiness by Income, Political Affiliation and Online Usage Time," Future Internet, MDPI, vol. 14(11), pages 1-55, November.
    6. Quintino Francesco Lotito & Davide Zanella & Paolo Casari, 2021. "Realistic Aspects of Simulation Models for Fake News Epidemics over Social Networks," Future Internet, MDPI, vol. 13(3), pages 1-20, March.
    7. Benjamin A. Lyons, 2022. "Insidiously Trivial: Meme Format Reduces Perceived Influence and Intent to Debate Partisan Claims," Media and Communication, Cogitatio Press, vol. 10(3), pages 196-205.
    8. Ștefan VLĂDUȚESCU & Dan Valeriu VOINEA, 2019. "2016 The Background Of Fake News: Through What Theory Can We Understand The 2016 Us Presidential Election," Social Sciences and Education Research Review, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 6(2), pages 257-279, November.
    9. Jeremy Straub & Matthew Spradling & Bob Fedor, 2022. "Assessment of Factors Impacting the Perception of Online Content Trustworthiness by Age, Education and Gender," Societies, MDPI, vol. 12(2), pages 1-66, March.
    10. Huw C Davies, 2018. "Redefining Filter Bubbles as (Escapable) Socio-Technical Recursion," Sociological Research Online, , vol. 23(3), pages 637-654, September.

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