By: Vajratiya Vajrobol, International Center for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taiwan, vvajratiya@gmail.com
Artificial Intelligence (AI) has emerged as a transformative power in the dynamic and always changing field of journalism, fundamentally altering the processes of news collection, reporting, and consumption. AI technologies are vital in improving productivity, discovering novel insights, and tackling the problems of the contemporary media landscape as newsrooms adjust to the digital era.
1. Automated Content Generation
Automated content production is a prominent application of AI in journalism. News organizations are utilizing natural language processing algorithms to produce news pieces, financial reports, and sports summaries. Automated writing systems employ advanced algorithms to scan extensive datasets and promptly generate well-structured articles that are grounded on factual information. This allows writers to allocate their time and attention towards more intricate and investigative areas of reporting [1].
2. Data Mining and Analysis
Artificial intelligence systems are highly proficient in efficiently analyzing extensive quantities of data to detect trends, patterns, and connections. Journalists may leverage AI-powered analytics to unveil concealed insights inside extensive datasets, enabling them to make well-informed choices and detect stories that could have otherwise remained undiscovered. This feature is especially advantageous in the field of investigative journalism and reporting that relies on data analysis [2].
3. Tailored News Distribution
AI-driven recommendation systems utilize user behavior and preferences analysis to provide tailored news articles. This improves user engagement by offering users content that are in line with their interests. Platforms and news applications utilize machine learning algorithms to select information, resulting in a customized news experience for each user [3].
4.Verification and Authentication of Facts
Artificial intelligence (AI) is essential for the timely and accurate verification of information through fact-checking. Given the widespread dissemination of false news and incorrect information, artificial intelligence (AI) algorithms have the capability to examine and compare data with credible sources. This aids journalists in verifying the correctness of their reporting and offers the public a more dependable and trustworthy information source [4].
5. Automated Transcription and Translation
Journalists frequently engage in interviews conducted in many languages or need transcribing recorded discussions. The utilization of AI-powered transcription and translation services has become highly important, as they effectively save both time and resources. These technologies provide the rapid translation of interviews, so simplifying the coverage of international events and enhancing communication with a wide range of sources [5].
6. Engaging the Audience and Monitoring Social Media
Artificial intelligence is employed to oversee social media networks and assess audience participation. Journalists have the ability to assess public opinion, detect new trends, and monitor the rapid spread of information in real-time. Not only does this assist in comprehending consumer preferences, but it also facilitates the creation of content that deeply connects with the intended audience [6].
7. Automated Video Editing and Production
The emergence of video material in journalism has resulted in the creation of artificial intelligence (AI) technologies that aid in the process of video editing and production. AI plays a role in producing captivating and inclusive video content for news organizations by providing automated subtitles and recommending appropriate graphics [7].
8. Forecasting News Trends using Predictive Analytics
Artificial intelligence algorithms have the capability to examine past data in order to forecast patterns in news and estimate the likelihood of certain subjects becoming popular. This ability to anticipate future events enables newsrooms to effectively deploy resources and proactively cover topics that are relevant to their audience [8].
Conclusion
The use of AI in journalism has several advantages in terms of effectiveness, precision, and audience involvement, but it also gives rise to ethical concerns. Journalists must strike a delicate balance between the rapidity of AI-powered procedures and the necessity for human editorial discernment. The ongoing progress of technology is set to revolutionize the field of journalism via the joint endeavors of AI and human journalists. This partnership holds the potential to bring about innovation and adaptation in news reporting.
References
- Wagner, M. (2022). Automated Journalism (Doctoral dissertation, Technische Universität Wien).
- Túñez-López, J. M., Toural-Bran, C., & Frazão-Nogueira, A. G. (2020). From data journalism to robotic journalism: The automation of news processing. Journalistic metamorphosis: media transformation in the digital age, 17-28.
- Lim, J. S., & Zhang, J. (2022). Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency. Technology in Society, 69, 101965.
- Harrag, F., & Djahli, M. K. (2022). Arabic fake news detection: A fact checking based deep learning approach. Transactions on Asian and Low-Resource Language Information Processing, 21(4), 1-34.
- Schapals, A. K., & Porlezza, C. (2020). Assistance or resistance? Evaluating the intersection of automated journalism and journalistic role conceptions. Media and Communication, 8(3), 16-26.
- [6] Batrinca, B., & Treleaven, P. C. (2015). Social media analytics: a survey of techniques, tools and platforms. Ai & Society, 30, 89-116.
- [7] Lu, Z., & Nam, I. (2021). Research on the influence of new media technology on internet short video content production under artificial intelligence background. Complexity, 2021, 1-14.
- [8] Raval, M., Sivashanmugam, P., Pham, V., Gohel, H., Kaushik, A., & Wan, Y. (2021). Automated predictive analytics tool for rainfall forecasting. Scientific Reports, 11(1), 17704.
Cite As:
Vajrobol V. (2024) The Transformative Role of Artificial Intelligence in Journalism, Insights2Techinfo, pp.1