IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v327y2023i2d10.1007_s10479-022-05015-5.html
   My bibliography  Save this article

Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

Author

Listed:
  • Pervaiz Akhtar

    (University of Aberdeen Business School, University of Aberdeen, King’s College
    Imperial College London)

  • Arsalan Mujahid Ghouri

    (Universiti Pendidikan Sultan Idris)

  • Haseeb Ur Rehman Khan

    (Universiti Pendidikan Sultan Idris)

  • Mirza Amin ul Haq

    (Iqra University)

  • Usama Awan

    (Inland Norway University of Applied Sciences)

  • Nadia Zahoor

    (Queen Mary University of London)

  • Zaheer Khan

    (University of Aberdeen Business School, University of Aberdeen, King’s College
    University of Vaasa)

  • Aniqa Ashraf

    (University of Science and Technology of China)

Abstract

Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs. This model based on multiple data sources has shown evidence of its effectiveness in managerial decision-making. Our study further contributes to the supply chain and AI-ML literature, provides practical insights, and points to future research directions.

Suggested Citation

  • Pervaiz Akhtar & Arsalan Mujahid Ghouri & Haseeb Ur Rehman Khan & Mirza Amin ul Haq & Usama Awan & Nadia Zahoor & Zaheer Khan & Aniqa Ashraf, 2023. "Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions," Annals of Operations Research, Springer, vol. 327(2), pages 633-657, August.
    • Handle: RePEc:spr:annopr:v:327:y:2023:i:2:d:10.1007_s10479-022-05015-5
    DOI: 10.1007/s10479-022-05015-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-05015-5
    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/s10479-022-05015-5?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. Petratos, Pythagoras N., 2021. "Misinformation, disinformation, and fake news: Cyber risks to business," Business Horizons, Elsevier, vol. 64(6), pages 763-774.
    2. David Atkin & Azam Chaudhry & Shamyla Chaudry & Amit K. Khandelwal & Eric Verhoogen, 2017. "Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1101-1164.
    3. Jon Roozenbeek & Sander van der Linden, 2019. "The fake news game: actively inoculating against the risk of misinformation," Journal of Risk Research, Taylor & Francis Journals, vol. 22(5), pages 570-580, May.
    4. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    5. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    6. Yogesh K. Dwivedi & Gerald Kelly & Marijn Janssen & Nripendra P. Rana & Emma L. Slade & Marc Clement, 2018. "Social Media: The Good, the Bad, and the Ugly," Information Systems Frontiers, Springer, vol. 20(3), pages 419-423, June.
    7. Grewal, Dhruv & Guha, Abhijit & Satornino, Cinthia B. & Schweiger, Elisa B., 2021. "Artificial intelligence: The light and the darkness," Journal of Business Research, Elsevier, vol. 136(C), pages 229-236.
    8. Alexandre Dolgui & Dmitry Ivanov, 2021. "Ripple effect and supply chain disruption management: new trends and research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 102-109, January.
    9. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    10. Reisach, Ulrike, 2021. "The responsibility of social media in times of societal and political manipulation," European Journal of Operational Research, Elsevier, vol. 291(3), pages 906-917.
    11. Rahi, Samar & Abd.Ghani, Mazuri & Hafaz Ngah, Abdul, 2019. "Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan," Technology in Society, Elsevier, vol. 58(C).
    12. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    13. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    14. ManMohan S. Sodhi & Christopher S. Tang, 2021. "Supply Chain Management for Extreme Conditions: Research Opportunities," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 7-16, January.
    15. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
    16. Wong, Christina W.Y. & Lirn, Taih-Cherng & Yang, Ching-Chiao & Shang, Kuo-Chung, 2020. "Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization," International Journal of Production Economics, Elsevier, vol. 226(C).
    17. Siew, Eu-Gene & Rosli, Khairina & Yeow, Paul H.P., 2020. "Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    18. Gyöngyi Kovács & Ioanna Falagara Sigala, 2021. "Lessons learned from humanitarian logistics to manage supply chain disruptions," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 41-49, January.
    19. Zhang, Chaowei & Gupta, Ashish & Kauten, Christian & Deokar, Amit V. & Qin, Xiao, 2019. "Detecting fake news for reducing misinformation risks using analytics approaches," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1036-1052.
    20. Domenico, Giandomenico Di & Sit, Jason & Ishizaka, Alessio & Nunan, Daniel, 2021. "Fake news, social media and marketing: A systematic review," Journal of Business Research, Elsevier, vol. 124(C), pages 329-341.
    21. Rameshwar Dubey & David Bryde & Constantin Blome & David Roubaud & Mihalis Giannakis, 2021. "Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context," Post-Print hal-03233551, HAL.
    22. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    23. Vincent, Vinod U., 2021. "Integrating intuition and artificial intelligence in organizational decision-making," Business Horizons, Elsevier, vol. 64(4), pages 425-438.
    24. Mili Mehrotra & William Schmidt, 2021. "The Value of Supply Chain Disruption Duration Information," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3015-3035, September.
    Full references (including those not matched with items on IDEAS)

    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. Kumar, Ajay & Taylor, James W., 2024. "Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework," European Journal of Operational Research, Elsevier, vol. 317(2), pages 401-413.
    2. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    3. Folajimi Ashiru & Franklin Nakpodia & Jacqueline J You, 2023. "Adapting emerging digital communication technologies for resilience: evidence from Nigerian SMEs," Annals of Operations Research, Springer, vol. 327(2), pages 795-823, August.
    4. Giandomenico Domenico & Annamaria Tuan & Marco Visentin, 2021. "Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic," Italian Journal of Marketing, Springer, vol. 2021(4), pages 351-369, December.
    5. Arcuri, Maria Cristina & Gandolfi, Gino & Russo, Ivan, 2023. "Does fake news impact stock returns? Evidence from US and EU stock markets," Journal of Economics and Business, Elsevier, vol. 125.
    6. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    7. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
    8. Petratos, Pythagoras N., 2021. "Misinformation, disinformation, and fake news: Cyber risks to business," Business Horizons, Elsevier, vol. 64(6), pages 763-774.
    9. Liang, Xiaoning & Li, Guoxin & Zhang, Hao & Nolan, Eimear & Chen, Fadong, 2022. "Firm performance and marketing analytics in the Chinese context: A contingency model," Journal of Business Research, Elsevier, vol. 141(C), pages 589-599.
    10. Pythagoras N. Petratos & Alessio Faccia, 2023. "Fake news, misinformation, disinformation and supply chain risks and disruptions: risk management and resilience using blockchain," Annals of Operations Research, Springer, vol. 327(2), pages 735-762, August.
    11. Sarraf, Shagun & Kushwaha, Amit Kumar & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Giannakis, Mihalis, 2024. "How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study," International Journal of Production Economics, Elsevier, vol. 267(C).
    12. Ahmad M. Alghamdi & Salvatore Flavio Pileggi & Osama Sohaib, 2023. "Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-30, June.
    13. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis, 2023. "Role of fake news and misinformation in supply chain disruption: impact of technology competency as moderator," Annals of Operations Research, Springer, vol. 327(2), pages 659-682, August.
    14. Konstantina Spanaki & Thanos Papadopoulos & Uchitha Jayawickrama & Femi Olan & Shaofeng Liu, 2023. "Editorial: fake news, misinformation, and supply chain disruptions: the role of emerging technologies," Annals of Operations Research, Springer, vol. 327(2), pages 601-604, August.
    15. Hsin‐Hui Lin & Ching‐Feng Chen & Chih‐Lun Wu, 2023. "The effects of news authenticity and social media tie strength on consumer dissemination behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2292-2313, June.
    16. Matthew Spradling & Jeremy Straub & Jay Strong, 2021. "Protection from ‘Fake News’: The Need for Descriptive Factual Labeling for Online Content," Future Internet, MDPI, vol. 13(6), pages 1-26, May.
    17. Lourdes S. Martinez & Matthew W. Savage & Elisabeth Jones & Elizabeth Mikita & Varun Yadav & Ming-Hsiang Tsou, 2022. "Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the COVID-19 Pandemic," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    18. Daniel-Rareș Obadă & Dan-Cristian Dabija, 2022. "“In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?," IJERPH, MDPI, vol. 19(8), pages 1-26, April.
    19. Konstantina Spanaki & Thanos Papadopoulos & Uchitha Jayawickrama & Femi Olan & Shaofeng Liu, 2023. "Editorial: fake news, misinformation, and supply chain disruptions: the role of emerging technologies," Post-Print hal-04158399, HAL.
    20. Lazar Laura & Pop Mihai-Ionuţ, 2021. "Impact of Celebrity Endorsement and Breaking News Effect on the Attention of Consumers," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 31(3), pages 60-74, September.

    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:annopr:v:327:y:2023:i:2:d:10.1007_s10479-022-05015-5. 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.