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Effect of Social Media Posts on Stock Market During COVID-19 Infodemic: An Agenda Diffusion Approach

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  • Xin Wang
  • Maurice Vergeer

Abstract

This study assesses the impact of social media posts by different categories of opinion leaders on the stock market during the coronavirus 2019 (COVID-19) infodemic. After aggregating tweets ( n  = 302,806) into diverse agendas based on posters’ professional attributes, time-series analyses reveal that increased COVID-19 attention from media and public health agendas is linked to reduced stock prices. By contrast, emphasis on COVID-19 by political agendas tends to increase stock prices, contingent on public agenda sentiment levels due to negative bias. Additionally, the sentiment of the public agenda boosts stock prices through a chain mediating process. This study indicates that posts by politicians are more effective in preventing market crashes compared to those from media or public health experts. This research contributes to agenda-setting theory by introducing the agenda-diffusion approach, highlighting the distinct roles of opinion leaders, their dynamic effects, and the diffusion process. The findings provide insights for crisis management in future pandemics.

Suggested Citation

  • Xin Wang & Maurice Vergeer, 2024. "Effect of Social Media Posts on Stock Market During COVID-19 Infodemic: An Agenda Diffusion Approach," SAGE Open, , vol. 14(1), pages 21582440241, January.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241227688
    DOI: 10.1177/21582440241227688
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    as
    1. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Hyehyun Hong & Hyo Jung Kim, 2020. "Antecedents and Consequences of Information Overload in the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    4. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    5. Emeka Nkoro & Aham Kelvin Uko, 2016. "Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 5(4), pages 1-3.
    6. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    7. Faheem Aslam & Tahir Mumtaz Awan & Jabir Hussain Syed & Aisha Kashif & Mahwish Parveen, 2020. "Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    8. Alexander F. Wagner, 2020. "What the stock market tells us about the post-COVID-19 world," Nature Human Behaviour, Nature, vol. 4(5), pages 440-440, May.
    9. Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    10. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    11. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    12. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    13. Tobias Burggraf & Ralf Fendel & Toan Luu Duc Huynh, 2020. "Political news and stock prices: evidence from Trump’s trade war," Applied Economics Letters, Taylor & Francis Journals, vol. 27(18), pages 1485-1488, October.
    14. Faisal Nazir Zargar & Dilip Kumar, 2023. "Market fear, investor mood, sentiment, economic uncertainty and tourism sector in the United States amid COVID-19 pandemic: A spillover analysis," Tourism Economics, , vol. 29(2), pages 551-558, March.
    15. Zheng, Yao & Osmer, Eric & Zhang, Ruiyi, 2018. "Sentiment hedging: How hedge funds adjust their exposure to market sentiment," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 147-160.
    16. Xin Li & Chi-Wei Su & Zheng Li & Muhammad Umar, 2023. "What threatens stock market returns under the COVID-19 crisis in China: the pandemic itself or the media hype around it?," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(2), pages 2106272-210, December.
    17. Tomas Reyes, 2019. "Negativity Bias in Attention Allocation: Retail Investors’ Reaction to Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 19(1), pages 155-189, March.
    18. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    19. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    20. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    21. Li, Tong & Chen, Hui & Liu, Wei & Yu, Guang & Yu, Yongtian, 2023. "Understanding the role of social media sentiment in identifying irrational herding behavior in the stock market," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 163-179.
    22. Stephan Lewandowsky & Michael Jetter & Ullrich K. H. Ecker, 2020. "Using the president’s tweets to understand political diversion in the age of social media," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    23. Vinicius Mothé Maia & Roberto Tommasetti & Marcelo Alvaro da Silva Macedo, 2021. "Australian market response to COVID-19 as moderated by social media," Pacific Accounting Review, Emerald Group Publishing Limited, vol. 33(5), pages 625-635, August.
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    1. Larissa M. Batrancea & Mehmet Ali Balcı & Ömer Akgüller & Anca Nichita, 2024. "The impact of social media discourse on financial performance of e-commerce companies listed on Borsa Istanbul," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.

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