{"title":"Intelligence Unleashed: The Fusion of Artificial Intelligence and News Anchoring","authors":"Li Xuan, Lyu Shu, Yang","doi":"10.37502/ijsmr.2023.6708","DOIUrl":null,"url":null,"abstract":"AI and news anchoring speed news delivery. This research anticipates how AI will revolutionize news anchoring. Issue Statement Subjectivity and human contact in traditional news anchoring may cause errors, delays, and unequal coverage. As AI progresses, it will be crucial to explore how it might improve news anchoring in effectiveness, impartiality, and accuracy. This project tests AI news anchoring. The project examines how much consumers trust AI-generated news and how AI-powered news anchors impact news delivery quality and speed. Methodology The study employed many research approaches. Recent articles introduced us to modern news anchors and AI. This clarified the field. Media outlets that employed AI news anchors were examined empirically. It followed the empirical investigation. Journalists and the general public were surveyed and interviewed. The study implies AI news anchoring. Some data suggest AI might improve news anchors' accuracy, speed, and consistency. Viewers trust AI-generated news. Evidence lends believability. Conclusions Given the outcomes, news organizations should continue investing in AI for news anchoring. News reporting must combine AI and humans for ethics, transparency, and accountability. News anchors may benefit from AI algorithms and issue studies. Finally, AI may help news anchors. AI will define journalism's digital future by improving accuracy, speed, and impartiality.","PeriodicalId":14213,"journal":{"name":"International Journal of Scientific and Management Research","volume":"177 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific and Management Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37502/ijsmr.2023.6708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
AI and news anchoring speed news delivery. This research anticipates how AI will revolutionize news anchoring. Issue Statement Subjectivity and human contact in traditional news anchoring may cause errors, delays, and unequal coverage. As AI progresses, it will be crucial to explore how it might improve news anchoring in effectiveness, impartiality, and accuracy. This project tests AI news anchoring. The project examines how much consumers trust AI-generated news and how AI-powered news anchors impact news delivery quality and speed. Methodology The study employed many research approaches. Recent articles introduced us to modern news anchors and AI. This clarified the field. Media outlets that employed AI news anchors were examined empirically. It followed the empirical investigation. Journalists and the general public were surveyed and interviewed. The study implies AI news anchoring. Some data suggest AI might improve news anchors' accuracy, speed, and consistency. Viewers trust AI-generated news. Evidence lends believability. Conclusions Given the outcomes, news organizations should continue investing in AI for news anchoring. News reporting must combine AI and humans for ethics, transparency, and accountability. News anchors may benefit from AI algorithms and issue studies. Finally, AI may help news anchors. AI will define journalism's digital future by improving accuracy, speed, and impartiality.