IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v13y2025i2p107-d1674580.html

Highlighting the Role of Morality in News Framing and Its Short-Term Effects on Stock Market Fluctuations

Author

Listed:
  • Paula T. Wang

    (Media Neuroscience Lab, Department of Communication, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Musa Malik

    (Media Neuroscience Lab, Department of Communication, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • René Weber

    (Media Neuroscience Lab, Department of Communication, University of California Santa Barbara, Santa Barbara, CA 93106, USA
    Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA
    Division of Communication and Media, Ewha Woman’s University, Seoul 03760, Republic of Korea)

Abstract

The Model of Intuitive Morality and Exemplars (MIME) suggests that news audiences, including investors, evaluate news based on their moral frames, and that these moral evaluations shape behavior. We extracted moral signals from 382,185 news articles across an 8-month period and examined their predictive effect on stock market movement. Results indicate that morality is a strong predictor during low economic periods and is driven by subversion and sanctity. Overall, our study suggests that moral framing and its foundations are important considerations for research on news effects, especially during periods of economic instability. The study provides an additional theoretical perspective on stock market fluctuations as well as practical implications for stakeholders with an interest in dampening collective panics and stabilizing investor sentiment.

Suggested Citation

  • Paula T. Wang & Musa Malik & René Weber, 2025. "Highlighting the Role of Morality in News Framing and Its Short-Term Effects on Stock Market Fluctuations," IJFS, MDPI, vol. 13(2), pages 1-19, June.
  • Handle: RePEc:gam:jijfss:v:13:y:2025:i:2:p:107-:d:1674580
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/13/2/107/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7072/13/2/107/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avnika B. Amin & Robert A. Bednarczyk & Cara E. Ray & Kala J. Melchiori & Jesse Graham & Jeffrey R. Huntsinger & Saad B. Omer, 2017. "Association of moral values with vaccine hesitancy," Nature Human Behaviour, Nature, vol. 1(12), pages 873-880, December.
    2. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    3. Harris, Colin & Myers, Andrew & Kaiser, Adam, 2023. "The humanizing effect of market interaction," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 489-507.
    4. Nicky J. Ferguson & Dennis Philip & Herbert Y. T. Lam & Jie Michael Guo, 2015. "Media Content and Stock Returns: The Predictive Power of Press," Multinational Finance Journal, Multinational Finance Journal, vol. 19(1), pages 1-31, March.
    5. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    6. Yochi Cohen-Charash & Charles A Scherbaum & John D Kammeyer-Mueller & Barry M Staw, 2013. "Mood and the Market: Can Press Reports of Investors' Mood Predict Stock Prices?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-15, August.
    7. Kearney, Colm & Liu, Sha, 2014. "Textual sentiment in finance: A survey of methods and models," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 171-185.
    8. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    9. Yong Wang & Hanzhong Deng, 2018. "Expectations, Behavior, and Stock Market Volatility," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(14), pages 3235-3255, November.
    10. Angela K. Davis & Jeremy M. Piger & Lisa M. Sedor, 2012. "Beyond the Numbers: Measuring the Information Content of Earnings Press Release Language," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 845-868, September.
    11. Felix Kwame Aveh & Dadson Awunyo-Vitor, 2017. "Firm-specific determinants of stock prices in an emerging capital market: Evidence from Ghana Stock Exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339385-133, January.
    12. Price, S. McKay & Doran, James S. & Peterson, David R. & Bliss, Barbara A., 2012. "Earnings conference calls and stock returns: The incremental informativeness of textual tone," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 992-1011.
    13. Jegadeesh, Narasimhan & Wu, Di, 2013. "Word power: A new approach for content analysis," Journal of Financial Economics, Elsevier, vol. 110(3), pages 712-729.
    14. repec:plo:pone00:0042366 is not listed on IDEAS
    15. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    16. Gan, Baoqing & Alexeev, Vitali & Bird, Ron & Yeung, Danny, 2020. "Sensitivity to sentiment: News vs social media," International Review of Financial Analysis, Elsevier, vol. 67(C).
    17. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    18. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    19. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    20. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    21. Jiao, Peiran & Veiga, André & Walther, Ansgar, 2020. "Social media, news media and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 63-90.
    22. Marlon Mooijman & Joe Hoover & Ying Lin & Heng Ji & Morteza Dehghani, 2018. "Moralization in social networks and the emergence of violence during protests," Nature Human Behaviour, Nature, vol. 2(6), pages 389-396, June.
    23. repec:pri:cepsud:91malkiel is not listed on IDEAS
    24. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    25. Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    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. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 54(4), pages 1187-1230, September.
    2. Yan Luo & Linying Zhou, 2020. "Textual tone in corporate financial disclosures: a survey of the literature," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 101-110, September.
    3. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    4. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
    5. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
    6. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 56-65.
    7. D. G. DeBoskey & Yan Luo & Linying Zhou, 2019. "CEO power, board oversight, and earnings announcement tone," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 657-680, February.
    8. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    9. Liying Ye & Jaeyoung Cho & Yiyang Bian, 2026. "Decoding signals: the impact of digital media exposure on K-pop firm performance," Electronic Commerce Research, Springer, vol. 26(2), pages 2241-2273, April.
    10. Miwa, Kotaro, 2022. "The informational role of analysts’ textual statements," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Ardia, David & Bluteau, Keven & Boudt, Kris, 2022. "Media abnormal tone, earnings announcements, and the stock market," Journal of Financial Markets, Elsevier, vol. 61(C).
    12. Huynh, Nhan & De Mello, Lurion & Li, Kai, 2025. "Evolution of investor sentiment: A systematic literature review and bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 100(C).
    13. Chouliaras, Andreas, 2015. "The Pessimism Factor: SEC EDGAR Form 10-K Textual Analysis and Stock Returns," MPRA Paper 65585, University Library of Munich, Germany.
    14. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    15. repec:ers:journl:v:xxiv:y:2021:i:4b:p:56-65 is not listed on IDEAS
    16. Ahmed, Yousry & Elshandidy, Tamer, 2016. "The effect of bidder conservatism on M&A decisions: Text-based evidence from US 10-K filings," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 176-190.
    17. Lachana, Ioanna & Schröder, David, 2025. "Investor sentiment and stock returns: Wisdom of crowds or power of words? Evidence from Seeking Alpha and Wall Street Journal," Journal of Financial Markets, Elsevier, vol. 74(C).
    18. Steven Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.).
    19. Renato Camodeca & Alex Almici & Umberto Sagliaschi, 2018. "Sustainability Disclosure in Integrated Reporting: Does It Matter to Investors? A Cheap Talk Approach," Sustainability, MDPI, vol. 10(12), pages 1-34, November.
    20. Sha Liu, 2014. "The Impact of Textual Sentiment on Sovereign Bond Yield Spreads: Evidence from the Eurozone Crisis," Multinational Finance Journal, Multinational Finance Journal, vol. 18(3-4), pages 215-248, September.
    21. Maciej Wujec, 2021. "Analysis of the Financial Information Contained in the Texts of Current Reports: A Deep Learning Approach," JRFM, MDPI, vol. 14(12), pages 1-17, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jijfss:v:13:y:2025:i:2:p:107-:d:1674580. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.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.