# A Review of Artificial Intelligence Research in Peer-Reviewed Communication Journals
## 5 Discussion
The landscape of contemporary AI applications in communication has reached intricate levels. The ubiquitous presence of chatbots and virtual assistants, exemplified by Siri and Alexa, delivers instantaneous responses to user queries by simulating human intelligence. AI-driven recommendation systems, as exemplified by platforms like Netflix and YouTube, deploy sophisticated algorithms to enhance the user experience through content suggestions [89]. Within journalism, AI technologies are actively employed to curate news feeds and even generate articles, relieving human journalists of some workload and facilitating real-time event coverage. The shift in advertising practices from traditional human-led methods to synthetic AI-facilitated advertising has become one of the central themes in the domain [90]. For example, in their chapter, [PERSON] and [PERSON] [91] offered an overview of the anticipated role of AI and machine learning throughout the stages of advertising. The integration of advancements in neuroscience, particularly in measuring attention, cognitive processing, emotional response, and memory, has facilitated the progress of AI and machine learning tools. These technologies can now identify crucial variables that drive more effective advertising and forecast improved performance. Additionally, in terms of enhancing human communication, AI plays a pivotal role in analyzing social media conversations and trends, enabling organizations to monitor public sentiment and adjust communication strategies in real time. Such adaptability is paramount in an era where news and opinions can rapidly disseminate through digital channels. The realm of social media and mass communication investigations has also embraced AI techniques for a comprehensive analysis of the vast data emanating from online platforms. Users deploy AI algorithms to detect trends, conduct sentiment analysis, and even customize user content [88]. Researchers have delved into AI utilization for content recommendations and precise audience targeting in the advertising domain, further enhancing AI's integration into investigative practices. In the realm of mass communication, for example, AI also facilitates information management. For instance, [PERSON] [92] provided a direct contribution to understanding AI's influence on mass communication by delving into the evolving landscape of intelligent media. The article offered a comprehensive overview of how AI, particularly in machine learning and deep learning, is reshaping human information production and dissemination activities. The insights provided in this article help discern the expanding boundaries of intelligent media development AI technology facilitates, indicating a significant shift in how communication occurs in the digital age [92]. Recent AI advancements have led to the development of powerful tools and applications, encompassing chatbots, recommendation systems, and deepfake technology. These advancements present a convergence of opportunities and challenges for the industry, necessitating vigilant adaptation by researchers, practitioners, and policymakers to navigate the evolving AI landscape within the communication field. This study has attempted to find a comprehensive definition of AI in the communication field based on the articles analyzed. According to the findings, a comprehensive definition of AI needs to represent all subfields, such as journalism, public relations, and advertising in the communication field. Thus, this study defines AI as a computer program or system that performs human functions associated with some level of human intelligence through algorithms, techniques, and technologies that offer a powerful mathematical method for making predictions, recommendations, and decisions and selecting information. The results of the analysis of published articles found that the scholars who published more AI research are professors in journalism and marketing.