IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v1y2018i1d10.1007_s42001-017-0005-6.html
   My bibliography  Save this article

Fighting fake news: a role for computational social science in the fight against digital misinformation

Author

Listed:
  • Giovanni Luca Ciampaglia

    (Indiana University Network Science Institute)

Abstract

The massive, uncontrolled, and oftentimes systematic spread of inaccurate and misleading information on the Web and social media poses a major risk to society. Digital misinformation thrives on an assortment of cognitive, social, and algorithmic biases and current countermeasures based on journalistic corrections do not seem to scale up. By their very nature, computational social scientists could play a twofold role in the fight against fake news: first, they could elucidate the fundamental mechanisms that make us vulnerable to misinformation online and second, they could devise effective strategies to counteract misinformation.

Suggested Citation

  • Giovanni Luca Ciampaglia, 2018. "Fighting fake news: a role for computational social science in the fight against digital misinformation," Journal of Computational Social Science, Springer, vol. 1(1), pages 147-153, January.
    • Handle: RePEc:spr:jcsosc:v:1:y:2018:i:1:d:10.1007_s42001-017-0005-6
    DOI: 10.1007/s42001-017-0005-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-017-0005-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s42001-017-0005-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marshall Van Alstyne & Erik Brynjolfsson, 2005. "Global Village or Cyber-Balkans? Modeling and Measuring the Integration of Electronic Communities," Management Science, INFORMS, vol. 51(6), pages 851-868, June.
    2. repec:sae:jocore:v:55:y:2011:i:6:p:970-955 is not listed on IDEAS
    3. Giovanni Luca Ciampaglia, 2013. "A Framework For The Calibration Of Social Simulation Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-29.
    4. Giovanni Luca Ciampaglia & Prashant Shiralkar & Luis M Rocha & Johan Bollen & Filippo Menczer & Alessandro Flammini, 2015. "Computational Fact Checking from Knowledge Networks," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    5. Damon Centola & Juan Carlos González-Avella & Víctor M. Eguíluz & Maxi San Miguel, 2007. "Homophily, Cultural Drift, and the Co-Evolution of Cultural Groups," Journal of Conflict Resolution, Peace Science Society (International), vol. 51(6), pages 905-929, December.
    6. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    7. Kartik Hosanagar & Daniel Fleder & Dokyun Lee & Andreas Buja, 2014. "Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation," Management Science, INFORMS, vol. 60(4), pages 805-823, April.
    8. Mostafa Mesgari & Chitu Okoli & Mohamad Mehdi & Finn Årup Nielsen & Arto Lanamäki, 2015. "“The sum of all human knowledge”: A systematic review of scholarly research on the content of Wikipedia," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 219-245, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emilio Ferrara & Stefano Cresci & Luca Luceri, 2020. "Misinformation, manipulation, and abuse on social media in the era of COVID-19," Journal of Computational Social Science, Springer, vol. 3(2), pages 271-277, November.
    2. Hongbin Hu & Yongbin Wang, 2022. "Research on Convergence Media Consensus Mechanism Based on Blockchain," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
    3. Babak Ravandi & Fatma Mili, 2019. "Coherence and polarization in complex networks," Journal of Computational Social Science, Springer, vol. 2(2), pages 133-150, July.
    4. Roger D. Magarey & Christina M. Trexler, 2020. "Information: a missing component in understanding and mitigating social epidemics," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    5. Yang, Ann Shawing, 2020. "Misinformation corrections of corporate news: Corporate clarification announcements," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. Seoyong Kim & Sunhee Kim, 2020. "The Crisis of Public Health and Infodemic: Analyzing Belief Structure of Fake News about COVID-19 Pandemic," Sustainability, MDPI, vol. 12(23), pages 1-23, November.
    7. Tobias Blanke & Tommaso Venturini, 2022. "A network view on reliability: using machine learning to understand how we assess news websites," Journal of Computational Social Science, Springer, vol. 5(1), pages 69-88, May.
    8. Suzanne Elayan & Martin Sykora, 2024. "Digital intermediaries in pandemic times: social media and the role of bots in communicating emotions and stress about Coronavirus," Journal of Computational Social Science, Springer, vol. 7(3), pages 2481-2504, December.
    9. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shane Greenstein & Yuan Gu & Feng Zhu, 2016. "Ideological Segregation among Online Collaborators: Evidence from Wikipedians," Harvard Business School Working Papers 17-028, Harvard Business School, revised Mar 2017.
    2. Shane Greenstein & Grace Gu & Feng Zhu, 2021. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians," Management Science, INFORMS, vol. 67(5), pages 3067-3086, May.
    3. Jason Chan & Anindya Ghose & Robert Seamans, 2013. "The Internet and Hate Crime: Offline Spillovers from Online Access," Working Papers 13-02, NET Institute.
    4. Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2021. "Do search engines increase concentration in media markets?," UB School of Economics Working Papers 2021/415, University of Barcelona School of Economics.
    5. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    6. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    7. Filipe Campante & Ruben Durante & Francesco Sobbrio, 2018. "Politics 2.0: The Multifaceted Effect of Broadband Internet on Political Participation," Journal of the European Economic Association, European Economic Association, vol. 16(4), pages 1094-1136.
    8. Roger D. Magarey & Christina M. Trexler, 2020. "Information: a missing component in understanding and mitigating social epidemics," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    9. Poy, Samuele & Schüller, Simone, 2016. "Internet and Voting in the Web 2.0 Era: Evidence from a Local Broadband Policy," IZA Discussion Papers 9991, Institute of Labor Economics (IZA).
    10. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    11. Leung, Benson Tsz Kin, 2020. "Limited cognitive ability and selective information processing," Games and Economic Behavior, Elsevier, vol. 120(C), pages 345-369.
    12. Alejandra Agustina Martínez, 2023. "Raise your Voice! Activism and Peer Effects in Online Social Networks," Working Papers 277, Red Nacional de Investigadores en Economía (RedNIE).
    13. Charles Heckscher & John McCarthy, 2014. "Transient Solidarities: Commitment and Collective Action in Post-Industrial Societies," British Journal of Industrial Relations, London School of Economics, vol. 52(4), pages 627-657, December.
    14. Lorenz Graf-Vlachy & Tarun Goyal & Yannick Ouardi & Andreas König, 2022. "The politics of piracy: political ideology and the usage of pirated online media," Information Technology and Management, Springer, vol. 23(1), pages 51-63, March.
    15. Gandal, Neil & Bar-Gill, Sagit, 2017. "Online Exploration, Content Choice & Echo Chambers: An Experiment," CEPR Discussion Papers 11909, C.E.P.R. Discussion Papers.
    16. Andrew Dickens, 2022. "Understanding Ethnolinguistic Differences: The Roles of Geography and Trade," The Economic Journal, Royal Economic Society, vol. 132(643), pages 953-980.
    17. John Lynham & Philip R. Neary, 2024. "Tiebout sorting in online communities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(3), pages 1149-1174, October.
    18. Iandoli, Luca & Primario, Simonetta & Zollo, Giuseppe, 2021. "The impact of group polarization on the quality of online debate in social media: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    19. Tabasso, Nicole, 2019. "Diffusion of multiple information: On information resilience and the power of segregation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 219-240.
    20. Nyabuti Damaris Kemunto & Prof. Hezron Mogambi & Dr. Anita Kiamba, 2023. "Foreign Policy Disinformation: Fueling Polarization and Deterioration of the Public Sphere in Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 425-442, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcsosc:v:1:y:2018:i:1:d:10.1007_s42001-017-0005-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.