Regional Media Sentiment Analysis of AI in Entrepreneurship: A Comparative Study of the UK, USA and Europe
DOI:
https://doi.org/10.47743/saeb-2025-0023Keywords:
sentiment analysis of news, entrepreneurship, artificial intelligenceAbstract
The rapid growth of the global economy is increasingly driven by innovation, with artificial intelligence being at the core of business processes transformation. As AI continues to reshape industries, the entrepreneurial economy must adapt to these changes to stay competitive. Often, media narratives influence perceptions and guide decision-making. Our study provides comparative sentiment analysis of how AI integration into entrepreneurship is portrayed by regional media in the UK, USA, and Europe. Analyzing 905 news articles collected via GNews API between August 5, 2024 and April 1, 2025, we applied the VADER tool to assess sentiment in headlines and article descriptions on a daily and weekly basis. The results reveal regional differences and distinct sentiment patterns between headlines and content, highlighting a complex media narrative around AI adoption. By associating media coverage to entrepreneurial perception, our research contributes to the literature on technology-driven economic changes and offers a foundation for future studies exploring the intersection of media news, innovation, and business strategy.
References
Alsem, K. J., Brakman, S., Hoogduin, L., & Kuper, G. (2008). The impact of newspapers on consumer confidence: Does spin bias exist? Applied Economics, 40(5), 531-539. http://dx.doi.org/10.1080/00036840600707100
Althaus, S. L., Cizmar, A. M., & Gimpel, J. G. (2009). Media Supply, Audience Demand, and the Geography of News Consumption in the United States. Political Communication, 26(3), 249-277. http://dx.doi.org/10.1080/10584600903053361
Atanasova, T., Kasheva, M., Sulova, S., & Vasilev, J. (2010). Analysis of the possible application of Data Mining, Text Mining and Web Mining in business intelligent systems. In The 33rd international convention MIPRO. http://dx.doi.org/0.13140/2.1.1027.5840
Bakker, S. (2010). The car industry and the blow-out of the hydrogen hype. Energy Policy, 38(11), 6540-6544. http://dx.doi.org/10.1016/j.enpol.2010.07.019
Butler, S. (2025). Robot packers and AI cameras: UK retail embraces automation to cut staff costs. Retrieved from https://www.theguardian.com/business/2025/jan/21/robot-packers-and-ai-cameras-uk-retail-embraces-automation-to-cut-staff-costs
Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New Avenues in Opinion Mining and Sentiment Analysis. IEEE Intelligent Systems, 28(2), 15–21. IEEE Intelligent Systems. http://dx.doi.org/10.1109/MIS.2013.30
Cubric, M. (2020). Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study. Technology in Society, 62, 101257. http://dx.doi.org/10.1016/j.techsoc.2020.101257
Cui, D., & Wu, F. (2021). The influence of media use on public perceptions of artificial intelligence in China: Evidence from an online survey. Information Development, 37(1), 45-57. http://dx.doi.org/10.1177/0266666919893411
Dai, L., Shen, R., & Zhang, B. (2021). Does the media spotlight burn or spur innovation? Review of Accounting Studies, 26(1), 343-390. http://dx.doi.org/10.1007/s11142-020-09553-w
Damstra, A., & Boukes, M. (2021). The Economy, the News, and the Public: A Longitudinal Study of the Impact of Economic News on Economic Evaluations and Expectations. Communication Research, 48(1), 26-50. http://dx.doi.org/10.1177/0093650217750971
Frank, R. (2024). LVMH CEO Bernard Arnault’s family office goes shopping for AI startups. Retrieved from https://www.cnbc.com/2024/08/19/lvmh-ceo-bernard-arnaults-family-office-invests-in-ai-startups.html
Freeman, P. K., & Freeland, R. S. (2015). Agricultural UAVs in the U.S.: Potential, policy, and hype. Remote Sensing Applications: Society and Environment, 2, 35-43. http://dx.doi.org/10.1016/j.rsase.2015.10.002
Ghani, E. K., Ariffin, N., & Sukmadilaga, C. (2022). Factors Influencing Artificial Intelligence Adoption in Publicly Listed Manufacturing Companies: A Technology, Organisation, and Environment Approach. International Journal of Applied Economics. Finance and Accounting, 14(2), 108-117. http://dx.doi.org/10.33094/ijaefa.v14i2.667
GNews. (2015). Your News API to Search for the Latest and Historical Worldwide News. Retrieved from https://gnews.io/
Hollanders, D., & Vliegenthart, R. (2011). The influence of negative newspaper coverage on consumer confidence: The Dutch case. SSRN. http://dx.doi.org/10.2139/ssrn.1430287
Horani, O. M., Al-Adwan, A. S., Yaseen, H., Hmoud, H., Al-Rahmi, W. M., & Alkhalifah, A. (2023). The critical determinants impacting artificial intelligence adoption at the organizational level. Information Development. http://dx.doi.org/10.1177/02666669231166889
Kerrigan, F., & Graham, G. (2010). Interaction of regional news-media production and consumption through the social space. Journal of Marketing Management, 26(3–4), 302-320. http://dx.doi.org/10.1080/02672570903566334
Khan, A. K. (2022). Trust in Artificial Intelligence: Toward Measuring the Impact of Trust in Artificial Intelligence: Toward Measuring the Impact of Public Perception Public Perception. Retrieved from https://www.semanticscholar.org/paper/Trust-in-Artificial-Intelligence%3A-Toward-Measuring-Khan/4ffc14f3711bee20f485492c22202e1fc812893c?utm_source=consensus
Kinkel, S., Baumgartner, M., & Cherubini, E. (2022). Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies. Technovation, 110, 102375. http://dx.doi.org/10.1016/j.technovation.2021.102375
Krause, T. (2024). Robots and Code: A Case Study of the Depiction of Artificial Intelligence in German News Media. M/C Journal, 27(6). http://dx.doi.org/10.5204/mcj.3119
Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2022). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334-354. http://dx.doi.org/10.1108/IJM-03-2021-0173
Mather, C. (2025). Neura Robotics raises €120m to develop ‘cognitive’ robots. Retrieved from https://www.siliconrepublic.com/start-ups/neura-robotics-germany-funding-cognitive-humanoid-tech
Modhoriye, P., Yadav, P., & Jadhav, D. (2023). AI transformation in business: Unveiling the dual effects of advancement and challenges. International Journal of Scientific Research Engineering and Management, 7.
Morini, M. (2016). From “Blockchain Hype” to a Real Business Case for Financial Markets. http://dx.doi.org/10.2139/ssrn.2760184
Neyazi, T. A., Khai Ee, T., Nadaf, A., & Schroeder, R. (2023). The effect of information seeking behaviour on trust in AI in Asia: The moderating role of misinformation concern. New Media & Society, 27(4), 2414-2433. http://dx.doi.org/10.1177/14614448231212804
Nigmatov, A., & Pradeep, A. (2023). The Impact of AI on Business: Opportunities, Risks, and Challenges. Paper presented at the 13th International Conference on Advanced Computer Information Technologies (ACIT).
Ozgun, B., & Broekel, T. (2021). The geography of innovation and technology news—An empirical study of the German news media. Technological Forecasting and Social Change, 167, 120692. http://dx.doi.org/10.1016/j.techfore.2021.120692
Palahan, S. (2022). News Analytics for Business Sentiment Suggestion. International Journal of Advanced Computer Science and Applications, 13(7). http://dx.doi.org/10.14569/IJACSA.2022.0130779
Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends® in information retrieval, 2(1-2), 1-135. http://dx.doi.org/10.1561/1500000011
Paul, S., Daga, V., Gupta, T., & Aishwarya, S. (2023). A Study on the Impact of Artificial Intelligence in Small and Medium Enterprises. International Journal For Multidisciplinary Research. http://dx.doi.org/10.36948/ijfmr.2023.v05i06.11145
Provost, F., & Fawcett, T. (2013). Data Science for Business: O'Reilly.
Rubab, S. A., & Forman Christian, C. (2023). Impact of AI on business growth. The Business and Management Review, 14(2). http://dx.doi.org/10.24052/BMR/V14NU02/ART-24
Sama, R. (2019). Impact of Media Advertisements on Consumer Behaviour. Journal of Creative Communications, 14(1), 54-68. http://dx.doi.org/10.1177/0973258618822624
Shirsat, V. S., Jagdale, R. S., & Deshmukh, S. N. (2017). Document Level Sentiment Analysis from News Articles. Paper presented at the International Conference on Computing, Communication, Control and Automation (ICCUBEA).
Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2019). Impact of artificial intelligence on businesses: from research, innovation, market deployment to future shifts in business models. Retrieved from http://dx.doi.org/10.48550/arXiv.1905.02092
Spyridou, P., & Ioannou, M. (2025). Exploring AI Amid the Hype: A Critical Reflection Around the Applications and Implications of AI in Journalism. Societies, 15(2), 23. http://dx.doi.org/10.3390/soc15020023
Toole, J. L., Cha, M., & González, M. C. (2012). Modeling the adoption of innovations in the presence of geographic and media influences. PLoS One, 7(1), e29528. http://dx.doi.org/10.1371/journal.pone.0029528
Vogel, M., Strina, G., Said, C., & Schmallenbach, T. (2023). The evolution of artificial intelligence adoption in industry: Artificial Intelligence and Social Computing. http://dx.doi.org/10.54941/ahfe1003282
Waters, J., Nicolaou, N., Stefanidis, D., Efstathiades, H., Pallis, G., & Dikaiakos, M. (2021). Exploring the sentiment of entrepreneurs on Twitter. PLoS One, 16(7), e0254337. http://dx.doi.org/10.1371/journal.pone.0254337
Yildirim, E. (2025). Does CoreWeave's disappointing IPO signal an AI bubble? Retrieved from https://qz.com/coreweave-ipo-ai-bubble-1851773579
Züger, T., Kuper, F., Fassbender, J., Katzy-Reinshagen, A., & Kühnlein, I. (2023). Handling the hype: Implications of AI hype for public interest tech projects. TATuP - Zeitschrift Für Technikfolgenabschätzung in Theorie Und Praxis, 32(3). http://dx.doi.org/10.14512/tatup.32.3.34
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Copyright (c) 2025 Lia-Cornelia Culda, Dumitru Alexandru Mara, Marian Pompiliu Cristescu, Raluca Andreea Nerișanu, Ana Maria Constantinescu
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