Narasi Digital dan Keputusan Finansial: Tinjauan Sistematis tentang Pengaruh Media Sosial terhadap Perilaku Investor dan Analis Keuangan
DOI:
https://doi.org/10.61579/future.v3i3.577Keywords:
Social media, Investor Behavior, Finfluencer, Investment DecisionAbstract
Social media has emerged as a major channel for disseminating financial information, significantly influencing how investors and financial analysts make investment decisions. This study aims to identify and synthesize scientific findings on the impact of social media-based financial content on investment behavior through a Systematic Literature Review (SLR) of 71 Scopus Q1-indexed articles published between 2015 and 2025. The analysis reveals that social media not only accelerates information flow but also shapes risk perceptions, triggers behavioral biases such as herding, overconfidence, and confirmation bias, and shifts informational authority from professional analysts to informal actors like finfluencers. While it offers opportunities for democratizing financial information and increasing retail investor engagement, it also raises serious concerns over content credibility, validity, and the gap in financial literacy. The study further highlights research gaps in areas such as analyst behavior, policy effectiveness, cross- country comparisons, and the application of technologies like natural language processing (NLP) in sentiment analysis. Theoretically, the findings extend behavioral finance and signaling theory into the digital context, while practical implications suggest the need for ethical, data-driven, and context-sensitive digital financial communication design. This review encourages future interdisciplinary research and evidence-based policy development in response to the growing complexity of today’s digital financial.
References
Al-shami, S. A., Damayanti, R., Adil, H., Farhi, F., & Al mamun, A. (2024). Financial and digital financial literacy through social media use towards financial inclusion among batik small enterprises in Indonesia. Heliyon, 10(15), e34902. https://doi.org/10.1016/j.heliyon.2024.e34902
Alzamil, Z., Appelbaum, D., & Nehmer, R. (2020). An ontological artifact for classifying social media: Text mining analysis for financial data. International Journal of Accounting Information Systems, 38, 100469. https://doi.org/10.1016/j.accinf.2020.100469
Ampatzoglou, A., Arvanitou, E. M., Ampatzoglou, A., Avgeriou, P., Tsintzira, A. A., & Chatzigeorgiou, A. (2021). Architectural decision-making as a financial investment: An industrial case study. Information and Software Technology, 129(March), 106412. https://doi.org/10.1016/j.infsof.2020.106412
Arand, D., Kerl, A., & Walter, A. (2015). When Do Sell-side Analyst Reports Really Matter? Shareholder Protection, Institutional Investors and the Informativeness of Equity Research. European Financial Management, 21(3), 524–555. https://doi.org/10.1111/j.1468- 036X.2013.12028.x
Barradale, N., Plenborg, T., & Staehr, S. (2022). Investor feedback: impact on analyst biases and investor critical evaluation. Accounting and Finance, 62(1), 767–803. https://doi.org/10.1111/acfi.12806
Bhattacharya, N., Olsson, P., & Park, H. (2021). Predictability of Analyst Earnings Forecast Errors and Institutional and Individual Investors’ Reactions to Earnings News. Journal of Accounting, Auditing and Finance, 36(4), 826–853. https://doi.org/10.1177/0148558X20939332
BilinskSi, P., Cumming, D., Hass, L., Stathopoulos, K., & Walker, M. (2019). Strategic distortions in analyst forecasts in the presence of short-term institutional investors. Accounting and Business Research, 49(3), 305–341. https://doi.org/10.1080/00014788.2018.1510303
Boehmer, E., Jones, C. M., Zhang, X., & Zhang, X. (2021). Tracking Retail Investor Activity. Journal of Finance, 76(5), 2249–2305. https://doi.org/10.1111/jofi.13033
Bradley, D., Hanousek Jr., J., Jame, R., & Xiao, Z. (2021). Place Your Bets? The Market Consequences of Investment Advice on Reddit’s Wallstreetbets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3806065
Braun, V., & Clarke, V. (2006). Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Branzei, O., Frooman, J., Mcknight, B., & Zietsma, C. (2018). What Good Does Doing Good do? The Effect of Bond Rating Analysts’ Corporate Bias on Investor Reactions to Changes in Social Responsibility. Journal of Business Ethics, 148(1), 183–203. https://doi.org/10.1007/s10551-016-3357-6
Brownen-Trinh, R., & Orujov, A. (2023). Corporate socio-political activism and retail investors: Evidence from the Black Lives Matter campaign. Journal of Corporate Finance, 80(April), 102417. https://doi.org/10.1016/j.jcorpfin.2023.102417
Cahill, D., Liu, Z., & Smales, L. A. (2024). Investigating proxies for retail investor attention in financial markets. Accounting and Finance, 521–550. https://doi.org/10.1111/acfi.13338
Cheng, F., Chiao, C., Wang, C., Fang, Z., & Yao, S. (2021). Does retail investor attention improve stock liquidity? A dynamic perspective. Economic Modelling, 94, 170–183. https://doi.org/10.1016/j.econmod.2020.10.001
Choi, K. W. (Stanley), Ma, W., Ho, S. Y., & Wu, D. (2024). The power of prediction with Google searches and social media posts: Retail investor interest and IPO pricing. Information and Management, 61(5), 103972. https://doi.org/10.1016/j.im.2024.103972
Chung, S., Animesh, A., Han, K., & Pinsonneault, A. (2020). Financial returns to firms’ communication actions on firm-initiated social media: Evidence from Facebook business pages. Information Systems Research, 31(1), 258–285. https://doi.org/10.1287/ISRE.2019.0884
Cookson, J. A., Engelberg, J. E., & Mullins, W. (2023). Echo Chambers. The Review of Financial Studies, 36(2), 450–500. https://doi.org/10.1093/rfs/hhac058
Corbet, S., Hou, Y. (Greg), Hu, Y., & Oxley, L. (2022). We Reddit in a Forum: The Influence of Message Boards on Firm Stability. Review of Corporate Finance, 2(1), 151–190. https://doi.org/10.1561/114.00000014
Czawlytko, C., Smith, E., Awan, O., Resnik, C., & Hossain, R. (2022). The Effect of Virtual Interviews and Social Media on Applicant Decision-Making During The 2020-2021 Resident Match Cycle. Academic Radiology, 29(6), 928–934. https://doi.org/10.1016/j.acra.2021.05.028
D’Hondt, C., De Winne, R., & Merli, M. (2021). Do retail investors bite off more than they can chew? A close look at their return objectives. Journal of Economic Behavior and Organization, 188(April 2020), 879–902. https://doi.org/10.1016/j.jebo.2021.06.009
Delfanti, A. (2021). The financial market of ideas: A theory of academic social media. Social Studies of Science, 51(2), 259–276. https://doi.org/10.1177/0306312720966649
Garay, U., & Pulga, F. (2021). The performance of retail investors, trading intensity and time in the market: evidence from an emerging stock market. Heliyon, 7(12), e08583. https://doi.org/10.1016/j.heliyon.2021.e08583
Hao, J., & Xiong, X. (2021). Retail investor attention and firms’ idiosyncratic risk: Evidence from China. International Review of Financial Analysis, 74(January), 101675. https://doi.org/10.1016/j.irfa.2021.101675
Innovation, F. (2020). Correction to: Value of big data to finance: observations on an internet credit Service Company in China (Financial Innovation, (2015), 1, (17), 10.1186/s4085 4-015-0017-2). Financial Innovation, 6(1), 0–1. https://doi.org/10.1186/s40854-020-00218-w
Jia, C., Wang, Y., & Xiong, W. (2017). Market segmentation and differential reactions of local and foreign investors to analyst recommendations. Review of Financial Studies, 30(9), 2972– 3008. https://doi.org/10.1093/rfs/hhx010
Kalinin, A., Vaganov, D., & Bochenina, K. (2020). Discovering patterns of customer financial behavior using social media data. Social Network Analysis and Mining, 10(1), 1–14. https://doi.org/10.1007/s13278-020-00690-3
Karppi, T., & Crawford, K. (2016). Social Media, Financial Algorithms and the Hack Crash.Theory, Culture & Society, 33(1), 73–92. https://doi.org/10.1177/0263276415583139
Keasey, K., Lambrinoudakis, C., Mascia, D. V., & Zhang, Z. (2025). The Impact of Social Media Influencers on The Financial Market Performance of Firms. European Financial Management, 31(2), 745–785. https://doi.org/10.1111/eufm.12513
Keding, C., & Meissner, P. (2021). Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions. Technological Forecasting and Social Change, 171(June), 120970. https://doi.org/10.1016/j.techfore.2021.120970
Kim, A., Yang, Y., Lessmann, S., Ma, T., Sung, M. C., & Johnson, J. E. V. (2020). Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. European Journal of Operational Research, 283(1), 217–234. https://doi.org/10.1016/j.ejor.2019.11.007
Kim, H., Kim, K. T., & Hanna, S. D. (2022). The Effect of Investment Literacy on the Likelihood of Retail Investor Margin Trading and Having a Margin Call. Finance Research Letters, 45(May), 102146. https://doi.org/10.1016/j.frl.2021.102146
Kim, K., Ryu, D., & Yang, H. (2021). Information uncertainty, investor sentiment, and analyst reports. International Review of Financial Analysis, 77(June), 101835. https://doi.org/10.1016/j.irfa.2021.101835
Kryzanowski, L., & Rouhghalandari, A. (2024). Institutional/retail investor active attention and behavior: Firm coverage on Mad Money. Journal of Behavioral and Experimental Finance, 42(May 2023), 100937. https://doi.org/10.1016/j.jbef.2024.100937
Kupfer, A., & Schmidt, M. G. (2021). In search of retail investors: The effect of retail investor attention on odd lot trades. Journal of Empirical Finance, 62(June 2018), 315–326. https://doi.org/10.1016/j.jempfin.2021.04.004
Lee, L. F., & Lo, A. K. (2016). Do Opinions on Financial Misstatement Firms Affect Analysts’ Reputation with Investors? Evidence from Reputational Spillovers. Journal of Accounting Research, 54(4), 1111–1148. https://doi.org/10.1111/1475-679X.12119
Li, D., Goh, K.-Y., & Heng, C.-S. (2024). Strategic Content Generation and Monetization in Financial Social Media. Information Systems Research, April. https://doi.org/10.1287/isre.2022.0482
Li, M., Li, N., Khan, M. A., Khaliq, N., & Rehman, F. U. (2022). Can retail investors induce corporate green innovation? -Evidence from Baidu Search Index. Heliyon, 8(6), e09663. https://doi.org/10.1016/j.heliyon.2022.e09663
Meidute-Kavaliauskiene, I., Davidaviciene, V., Karakaya, G., & Ghorbani, S. (2021). The measurement of organizational social media integration impact on financial and innovative performance: an integrated model. Sustainability (Switzerland), 13(18). https://doi.org/10.3390/su131810397
Meshcheryakov, A., & Winters, D. B. (2022). Retail investor attention and the limit order book: Intraday analysis of attention-based trading. International Review of Financial Analysis, 81(October 2020), 101627. https://doi.org/10.1016/j.irfa.2020.101627
Meshi, D., Elizarova, A., Bender, A., & Verdejo-Garcia, A. (2019). Excessive social media users demonstrate impaired decision making in the Iowa Gambling Task. Journal of Behavioral Addictions, 8(1), 169–173. https://doi.org/10.1556/2006.7.2018.138
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Münster, M., Reichenbach, F., & Walther, M. (2024). Robinhood, Reddit, and the news: The impact of traditional and social media on retail investor trading. Journal of Financial Markets, 71, 100929. https://doi.org/10.1016/j.finmar.2024.100929
Nam, S. (2020). Cognitive capitalism, free labor, and financial communication: A critical discourse analysis of social media IPO registration statements. Information Communication and Society, 23(3), 420–436. https://doi.org/10.1080/1369118X.2018.1510535
Nguyen, H., Calantone, R., & Krishnan, R. (2020). Influence of Social Media Emotional Word of Mouth on Institutional Investors’ Decisions and Firm Value. Management Science, 66(2), 887–910. https://doi.org/10.1287/mnsc.2018.3226
Nguyen, H. T., & Pham, M. H. (2021). Does Investor Attention Matter for Market Anomalies? Journal of Behavioral and Experimental Finance, 29, 100451. https://doi.org/10.1016/j.jbef.2020.100451
Nolte, I., & Nolte, S. (2016). The information content of retail investors’ order flow. European Journal of Finance, 22(2), 80–104. https://doi.org/10.1080/1351847X.2014.963633
Pagano, M. S., Sedunov, J., & Velthuis, R. (2021). How did retail investors respond to the COVID- 19 pandemic? The effect of Robinhood brokerage customers on market quality. Finance Research Letters, 43(January), 101946. https://doi.org/10.1016/j.frl.2021.101946
Park, S. J., & Park, K. Y. (2019). Can investors profit from security analyst recommendations?: New evidence on the value of consensus recommendations. Finance Research Letters, 30, 403–413. https://doi.org/10.1016/j.frl.2018.11.008
Paul, J., & Criado, A. R. (2020). The Art of Writing Literature Review: What Do We Know and What Do We Need to Know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717
Phan, T. C., Rieger, M. O., & Wang, M. (2018). What leads to overtrading and under- diversification? Survey evidence from retail investors in an emerging market. Journal of Behavioral and Experimental Finance, 19, 39–55. https://doi.org/10.1016/j.jbef.2018.04.001
Ren, J., Dong, H., Padmanabhan, B., & Nickerson, J. V. (2021). How does social media sentiment impact mass media sentiment? A study of news in the financial markets. Journal of the Association for Information Science and Technology, 72(9), 1183–1197. https://doi.org/10.1002/asi.24477
Rickett, L., & Datta, P. (2018). Beauty-contests in the age of financialization: Information activism and retail investor behavior. Journal of Information Technology, 33(1), 31–49. https://doi.org/10.1057/s41265-016-0026-2
Schroff, S., Meyer, S., & Burghof, H. P. (2016). Retail investor information demand – speculating and investing in structured products. European Journal of Finance, 22(11), 1063–1085. https://doi.org/10.1080/1351847X.2015.1020392
Seth, H., Talwar, S., Bhatia, A., Saxena, A., & Dhir, A. (2020). Consumer resistance and inertia of retail investors: Development of the resistance adoption inertia continuance (RAIC) framework. Journal of Retailing and Consumer Services, 55(January). https://doi.org/10.1016/j.jretconser.2020.102071
Smart Insight. (2021). Global Social Media Statistics Research Summary. Retrieved April 20, 2025, from Smart Insight website: https://www.smartinsights.com/social-media- marketing/social-media-strategy/new-global-social-media-research/
Snyder, H. (2019). Literature Review as a Research Methodology: An Overview and Guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Talwar, S., Talwar, M., Tarjanne, V., & Dhir, A. (2021). Why retail investors traded equity during the pandemic? An application of artificial neural networks to examine behavioral biases. Psychology and Marketing, 38(11), 2142–2163. https://doi.org/10.1002/mar.21550
Tan, L., Zhang, X., & Zhang, X. (2023). Retail and Institutional Investor Trading Behaviors: Evidence from China. SSRN Electronic Journal, 459–483. https://doi.org/10.2139/ssrn.4620780
Tarim, E. (2016). Situated cognition and narrative heuristic: evidence from retail investors and their brokers. European Journal of Finance, 22(8–9), 688–711. https://doi.org/10.1080/1351847X.2013.858054
Thomas, J., & Harden, A. (2008). Methods for the Thematic Synthesis of Qualitative Research in Systematic Reviews. BMC Medical Research Methodology, 8(1), 45. https://doi.org/10.1186/1471-2288-8-45
Tsapeli, F., Musolesi, M., & Tino, P. (2017). Non-parametric causality detection: An application to social media and financial data. Physica A: Statistical Mechanics and Its Applications, 483, 139–155. https://doi.org/10.1016/j.physa.2017.04.101
Ueda, K., Suwa, H., Yamada, M., Ogawa, Y., Umehara, E., Yamashita, T., Tsubouchi, K., & Yasumoto, K. (2024). SSCDV: Social media document embedding with sentiment and topics for financial market forecasting. Expert Systems with Applications, 245(December 2023), 122988. https://doi.org/10.1016/j.eswa.2023.122988
Vicentini, G., Nucci, A., Caldarelli, G., & Omodei, E. (2025). Social media discussions anticipates financial market volumes. Physica A: Statistical Mechanics and Its Applications, 661, 130388. https://doi.org/10.1016/j.physa.2025.130388
Wada, H. (2021). Assessing the social media user’s credibility rating of shared content, and its utilization in decision making. Emerging Science Journal, 5(2), 191–199. https://doi.org/10.28991/esj-2021-01269
Wan, Q., Xu, X., Zhuang, J., & Pan, B. (2021). A sentiment analysis-based expert weight determination method for large-scale group decision-making driven by social media data. Expert Systems with Applications, 185(932), 115629. https://doi.org/10.1016/j.eswa.2021.115629
Warkulat, S., & Pelster, M. (2024). Social media attention and retail investor behavior: Evidence from r/wallstreetbets. International Review of Financial Analysis, 96(PB), 103721. https://doi.org/10.1016/j.irfa.2024.103721
Wen, F., Xu, L., Ouyang, G., & Kou, G. (2019). Retail investor attention and stock price crash risk: Evidence from China. International Review of Financial Analysis, 65(March), 101376. https://doi.org/10.1016/j.irfa.2019.101376
Whitmer, J. M. (2019). You are Your Brand: Self‐branding and the Marketization of Self. Sociology Compass, 13(3). https://doi.org/10.1111/soc4.12662
Wu, Y., Liu, T., Han, L., & Yin, L. (2018). Optimistic bias of analysts’ earnings forecasts: Does investor sentiment matter in China? Pacific Basin Finance Journal, 49(2017), 147–163. https://doi.org/10.1016/j.pacfin.2018.04.010
Yuan, M., Li, Y., & Yang, T. (2024). Does Innovation Sustainability Attract Retail Investors? The Clientele Effect in China. Sustainability (Switzerland), 16(19), 1–18. https://doi.org/10.3390/su16198666
Zhu, L., & Wang, Y. (2024). Acting real: a cross-cultural investigation of finfluencer strategic authenticity. International Journal of Advertising, 44(1), 164–183. https://doi.org/10.1080/02650487.2024.2437289
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fatimah Akbal

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.