本研究旨在探討當市場中同時存在由人類記者撰寫的新聞與人機協作產出的混合新聞時，投資人是否對不同新聞類型表現出特定偏好，並進一步檢視揭露AI責任聲明後 ，是否能有效提升投資人對混合新聞的信任。本研究採用實驗法，分三階段提供資訊，觀察受試者在接收不同資訊來源後的投資意願變化。
研究結果顯示，當市場存在負面消息，受試者對人類新聞與混合新聞的反應無顯著差異。然而，整體而言，受試者認為人類新聞在資訊客觀度上優於混合新聞，且更願意採納人類新聞作為投資參考。此外，研究也發現AI責任聲明有助於受試者對混合新聞的使用程度，但並無法提升對客觀度的感知 。本研究推測，受試者偏好人類新聞的原因，主要來自於對新聞媒體使用AI工具的不信任。再者，投資人對負面資訊的反應，似乎較其對新聞類型的態度更為強烈。

This study aims to explore whether investors exhibit specific preferences toward different types of news when both human-written news and combined journalism produced through human-machine collaboration coexist in the market. It further examines whether disclosing AI responsibility statements can effectively enhance investors' credibility in combined journalism. An experimental approach was adopted, where information was provided in stages to observe changes in participants' investment intentions after receiving information from different sources.
The results indicate that when negative news is present in the market, participants’ reactions to human-written news and combined journalism show no significant differences. However, overall, participants perceive human-written news to be more objective and are more willing to use it as a reference for investment decisions. In addition, the study finds that AI responsibility statements help increase participants’ willingness to use hybrid news but do not improve their perception of its objectivity. It is inferred that the preference for human-written news mainly stems from participants’ distrust of the use of AI tools by news media. Moreover, investors’ sensitivity to negative information appears to have a stronger influence than their attitudes toward different news types.

Barber, B. M., & Odean, T. (2008). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21(2), 785-818. https://doi.org/10.1093/rfs/hhm079
Barberis, N., & Shleifer, A. (2003). Style investing. Journal of Financial Economics, 68(2), 161-199. https://doi.org/10.1016/S0304-405X(03)00064-3
Becker, K. B., Simon, F. M., & Crum, C. (2024). Policies in parallel? A comparative study of journalistic AI policies in 52 global news organisations. Digital Journalism, 1-21. https://doi.org/10.1080/21670811.2024.2431519
Blankespoor, E., deHaan, E., & Marinovic, I. (2020). Disclosure processing costs, investors’ information choice, and equity market outcomes: A review. Journal of Accounting and Economics, 70(2), 101344. https://doi.org/10.1016/j.jacceco.2020.101344
Blankespoor, E., Dehaan, E. D., Wertz, J., & Zhu, C. (2019). Why do individual investors disregard accounting information? The roles of information awareness and acquisition costs. Journal of Accounting Research, 57(1), 53-84. http://www.jstor.org/stable/26651376
Call, A. C., Emett, S. A., Maksymov, E., & Sharp, N. Y. (2022). Meet the press: Survey evidence on financial journalists as information intermediaries. Journal of Accounting and Economics, 73(2), 101455. https://doi.org/10.1016/j.jacceco.2021.101455
Cardinaels, E., Hollander, S., & White, B. J. (2019). Automatic summarization of earnings releases: attributes and effects on investors’ judgments. Review of Accounting Studies, 24, 860-890. https://doi.org/10.1007/s11142-019-9488-0
Carlson, M. (2015). The robotic reporter. Digital Journalism, 3(3), 416-431. https://doi.org/10.1080/21670811.2014.976412
Cave, S., Coughlan, K., & Dihal, K. (2019). Scary robots: Examining public responses to AI . Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, Honolulu, HI, USA. https://doi-org.ezproxy.lib.ncu.edu.tw/10.1145/3306618.3314232
Clerwall, C. (2014). Enter the robot journalist. Journalism Practice, 8(5), 519-531. https://doi.org/10.1080/17512786.2014.883116
Cools, H., & Diakopoulos, N. (2023). Towards guidelines for guidelines on the use of generative ai in newsrooms. https://generative-ai-newsroom.com/towards-guidelines-for-guidelines-on-the-use-of-generative-ai-in-newsrooms-55b0c2c1d960
Core, J. E., Guay, W., & Larcker, D. F. (2008). The power of the pen and executive compensation. Journal of Financial Economics, 88(1), 1-25. https://doi.org/10.1016/j.jfineco.2007.05.001
Darda, K., Carre, M., & Cross, E. (2023). Value attributed to text-based archives generated by artificial intelligence. Royal Society Open Science, 10(2), 220915. https://doi.org/doi:10.1098/rsos.220915
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: people erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114. https://doi.org/10.1037/xge0000033
Dopuch, N., Holthausen, R. W., & Leftwich, R. W. (1986). Abnormal stock returns associated with media disclosures of ‘subject to’ qualified audit opinions. Journal of Accounting and Economics, 8(2), 93-117. https://doi.org/10.1016/0165-4101(86)90013-3
Dovbysh, O. (2020). Automating the news: how algorithms are rewriting the media. Digital Journalism, 8(7), 972-974. https://doi.org/10.1080/21670811.2020.1777883
Drake, M. S., Guest, N. M., & Twedt, B. J. (2014). The media and mispricing: the role of the business press in the pricing of accounting information. The Accounting Review, 89(5), 1673-1701. http://www.jstor.org/stable/24468380
Du, N., Wang, T., & Lin, H. (2023). To correct or not to correct: are investors able to discern fake financial news? Journal of Behavioral Finance, 1-15. https://doi.org/10.1080/15427560.2023.2259031
Fang, L., & Peress, J. (2009). Media coverage and the cross-section of stock returns. The Journal of Finance, 64(5), 2023-2052. https://doi.org/10.1111/j.1540-6261.2009.01493.x
Fang, X., Che, S., Mao, M., Zhang, H., Zhao, M., & Zhao, X. (2024). Bias of AI-generated content: an examination of news produced by large language models. Scientific Reports (Nature Publisher Group), 14(1), 5224. https://doi.org/10.1038/s41598-024-55686-2
Glahn, H. R. (1970). Computer-produced worded forecasts. Bulletin of the American Meteorological Society, 51(12), 1126-1131. http://www.jstor.org/stable/26253111
Gondwe, G. (2023). Exploring the multifaceted nature of generative AI in journalism studies: A typology of scholarly definitions. Working paper, California State San Bernardino. https://doi.org/10.2139/ssrn.4465446
Graefe, A. (2016). Guide to Automated Journalism. Tow Center for Digital Journalism, Columbia University. https://doi.org/10.7916/D80G3XDJ
Graefe, A., & Bohlken, N. (2020). Automated journalism: a meta-analysis of readers’ perceptions of human-written in comparison to automated news. Media and Communication, 8(3), 50-59. https://doi.org/10.17645/mac.v8i3.3019
Graf-Vlachy, L., Oliver, A. G., Banfield, R., König, A., & Bundy, J. (2020). Media coverage of firms: background, integration, and directions for future research. Journal of Management, 46(1), 36-69. https://doi.org/10.1177/0149206319864155
Griffin, J. M., Hirschey, N. H., & Kelly, P. J. (2011). How important is the financial media in global markets? The Review of Financial Studies, 24(12), 3941-3992. https://doi.org/10.1093/rfs/hhr099
Henry, E., & Peytcheva, M. (2018). Earnings-announcement narrative and investor judgment. Accounting Horizons, 32(3), 123-143. https://doi.org/10.2308/acch-52121
Hirshleifer, D., & Teoh, S. H. (2003). Limited attention, information disclosure, and financial reporting. Journal of Accounting and Economics, 36(1), 337-386. https://doi.org/10.1016/j.jacceco.2003.10.002
Huang, T., & Zhang, X. (2022). Media coverage of industry and the cross‐section of stock returns. Accounting & Finance, 62(2), 1107-1141. https://doi.org/10.1111/acfi.12819
Indjejikian, R. J. (1991). The impact of costly information interpretation on firm disclosure decisions. Journal of Accounting Research, 29(2), 277-301. https://doi.org/10.2307/2491050
Jame, R., & Tong, Q. (2014). Industry-based style investing. Journal of Financial Markets, 19, 110-130. https://doi.org/10.1016/j.finmar.2013.08.004
Jensen, M. C. (1979). Toward a theory of the press. Paper presented at the third annual interlaken seminar on analysis and ideology, Switzerland. https://doi.org/10.1007/978-94-009-9257-3_11
Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM computing surveys, 55(12), 1-38.. https://doi.org/10.1145/3571730
Kothari, S. P., Li, X., & Short, J. E. (2009). The effect of disclosures by management, analysts, and business press on cost of capital, return volatility, and analyst forecasts: a study using content analysis. The Accounting Review, 84(5), 1639-1670. http://dx.doi.org/10.2308/accr.2009.84.5.1639
Lermann Henestrosa, A., Greving, H., & Kimmerle, J. (2023). Automated journalism: The effects of AI authorship and evaluative information on the perception of a science journalism article. Computers in Human Behavior, 138, 107445. https://doi.org/10.1016/j.chb.2022.107445
Lermann Henestrosa, A., & Kimmerle, J. (2024). Understanding and perception of automated text generation among the public: Two surveys with representative samples in Germany. Behavioral Sciences (2076-328X), 14(5), 353. https://doi.org/10.3390/bs14050353
Li, E. X., Ramesh, K., & Shen, M. (2011). The role of newswires in screening and disseminating value-relevant information in periodic sec reports. The Accounting Review, 86(2), 669-701. http://dx.doi.org/10.2308/accr.00000023
Moravec, V., Hynek, N., Skare, M., Gavurova, B., & Kubak, M. (2024). Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future. Technological Forecasting and Social Change, 200, 123162. https://doi.org/10.1016/j.techfore.2023.123162
Newman, N., Fletcher, R., Robertson, C., Ross Arguedas, A., & Nielsen, R. (2024). Reuters Institute digital news report 2024. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024
O'Hara, M. (2003). Presidential address: liquidity and price discovery. The Journal of Finance, 58(4), 1335-1354. http://www.jstor.org/stable/3648213
Odean, T. (1999). Do investors trade too much? The American Economic Review, 89(5), 1279-1298. http://dx.doi.org/10.1257/aer.89.5.1279
Peress, J. (2014). The media and the diffusion of information in financial markets: evidence from newspaper strikes. The Journal of Finance, 69(5), 2007-2043. https://doi.org/10.1111/jofi.12179
Ross Arguedas, A. A., Badrinathan, S., Mont’Alverne, C., Toff, B., Fletcher, R., & Nielsen, R. K. (2023). Shortcuts to trust: Relying on cues to judge online news from unfamiliar sources on digital platforms. Journalism, 25(6), 1207-1229. https://doi.org/10.1177/14648849231194485
Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards artificial intelligence scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
Tandoc Jr, E. C., Yao, L. J., & Wu, S. (2020). Man vs. Machine? The impact of algorithm authorship on news credibility. Digital Journalism, 8(4), 548-562. https://doi.org/10.1080/21670811.2020.1762102
Thurman, N., Stares, S., & Koliska, M. (2025). Audience evaluations of news videos made with various levels of automation: A population-based survey experiment. Journalism, 26(1), 3-23. https://doi.org/10.1177/14648849241243189
Toff, B., & Simon, F. M. (2024). “Or They Could Just Not Use It?”: The dilemma of AI disclosure for audience trust in news. The International Journal of Press/Politics. https://doi.org/10.1177/19401612241308697
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458. http://www.jstor.org/stable/1685855
van Dalen, A. (2012). The algorithms behind the headlines. Journalism Practice, 6(5-6), 648-658. https://doi.org/10.1080/17512786.2012.667268
Van der Kaa, H. A., & Krahmer, E. J. (2014). Journalist versus news consumer: The perceived credibility of machine written news. In Computation+ Journalism Symposium 2014. https://research.tilburguniversity.edu/files/4314960/cj2014_session4_paper2.pdf
Waddell, T. F. (2018). A robot wrote this? Digital Journalism, 6(2), 236-255. https://doi.org/10.1080/21670811.2017.1384319
Waddell, T. F. (2019). Attribution practices for the man-machine marriage: how perceived human intervention, automation metaphors, and byline location affect the perceived bias and credibility of purportedly automated content. Journalism Practice, 13(10), 1255-1272. https://doi.org/10.1080/17512786.2019.1585197
Wölker, A., & Powell, T. E. (2021). Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism. Journalism, 22(1), 86-103. https://doi.org/10.1177/1464884918757072
Wu, Y. (2020). Is Automated Journalistic writing less biased? An experimental test of auto-written and human-written news stories. Journalism Practice, 14(8), 1008-1028. https://doi.org/10.1080/17512786.2019.1682940
Yang, H., & Sundar, S. S. (2024). Machine heuristic: Concept explication and development of a measurement scale. Journal of Computer-Mediated Communication, 29(6), zmae019. https://doi.org/10.1093/jcmc/zmae019
李怡志. (2024). 新聞媒體對於生成式人工智慧的感知風險、規範與實踐 [Generative artificial intelligence in news media: Perceived risks, norms, and practices]. 新聞學研究(160), 1-66. https://www-airitilibrary-com.ezproxy.lib.ncu.edu.tw/Article/Detail?DocID=10161007-N202410050002-00001
唐士哲. (2024). 生成式人工智慧、新聞室自動化與變遷中的新聞樣貌 [AI, newsroom automation, and the configuration of news in transformation]. 文化：政策．管理．新創, 3(1), 9-27. https://www-airitilibrary-com.ezproxy.lib.ncu.edu.tw/Article/Detail?DocID=P20230308002-N202405300005-00002
顏信輝, & 丁緯. (2005). 架構效應與順序效應對股票投資判斷之影響 [The influence of framing effect and order effect on investors' judgment]. 證券市場發展季刊, 17(1), 41-78. https://doi.org/10.6529/RSFM.2005.17(1).2
顏信輝, & 陳慧玲. (2013). 會計資訊之架構效應與模糊效應 [The framing effect and ambiguity effect in accounting information]. 管理學報, 30(5), 407-427. https://doi.org/10.6504/JOM.2013.30.05.02