About the Journal
Artificial Intelligence and Internet Studies is an international cutting-edge academic journal focusing on the interdisciplinary intersection of Artificial Intelligence (AI) and the Internet. It is dedicated to building a "theory-technology-practice" trinity platform for interdisciplinary exchange. Backed by an advisory board of world-renowned scholars, the journal adopts a rigorous double-blind peer review system to ensure the scientific validity, innovativeness, and academic value of published research. Its content covers core areas of AI-Internet integration, including technological breakthroughs, industrial applications, and ethical governance. The journal aims to provide a high-quality platform for global researchers, technology developers, industry practitioners, and policymakers to showcase academic achievements and engage in intellectual exchanges, thereby promoting the coordinated development of these two fields and facilitating technological innovation and social progress in the digital economy era. Currently, the journal has opened global submission channels, accepting English manuscripts.
I. Call for Papers
Artificial Intelligence and Internet Studies aims to establish an interdisciplinary and international academic exchange platform, promoting in-depth integration of theoretical innovation, technological breakthroughs, and practical applications in these two fields.
We are committed to bringing together the latest research findings from global researchers, technology developers, and industry practitioners, and conducting in-depth discussions around the core topic of AI empowering Internet development. The journal not only seeks to reveal the academic logic behind technological evolution but also addresses practical challenges in the digital age (such as security, ethics, and fairness). Ultimately, it aims to provide directional guidance for academic research in relevant fields, offer theoretical support for industrial practice, and contribute to building a more intelligent, secure, and sustainable Internet ecosystem.
II. Scope of Submissions
The journal sincerely invites original research papers, review articles, case studies, and short communications that align with the following thematic directions (but are not limited to), with a focus on innovative, practical, and forward-looking research at the intersection of AI and the Internet:
1. AI-Driven Internet Technologies and Applications
- Optimization of machine learning/deep learning algorithms for online scenarios (e.g., user behavior prediction, content generation, real-time interactive systems)
- Design and efficiency improvement of intelligent web search and personalized recommendation systems
- AI-enabled Internet content governance technologies (e.g., misinformation detection, harmful content filtering, multimodal content analysis)
- AI technology applications in emerging Internet forms such as the Metaverse and Web3.0 (e.g., virtual interactive agents, decentralized AI services)
2. AI, Internet Security, and Privacy Protection
- AI-based network attack detection and defense mechanisms (e.g., malicious code identification, DDoS attack interception)
- AI solutions for Internet user privacy protection (e.g., differential privacy technology, application of federated learning in data sharing)
- Security risks of IoT (Internet of Things) devices accessing the Internet and AI-based protection strategies
3. Ethical and Social Impacts of AI in the Internet Field
- The impact of algorithmic bias and data discrimination on Internet fairness and corresponding governance approaches
- Research on AI-driven Internet platform monopoly and competition mechanisms
- Ethical norms and legal adaptation of AI applications in cross-border Internet environments
4. Collaborative Innovation between Internet Data and AI
- Data cleaning, integration, and AI modeling technologies for massive heterogeneous Internet data
- Optimization of Internet services through the integration of edge computing, cloud computing, and AI
- Improvement of AI model training and generalization capabilities based on Internet user behavior data
5. Interdisciplinary Application Research
- Practical implementation of "AI + Internet" in education, healthcare, finance, transportation, and other industries (e.g., intelligent online education systems, AI-driven Internet medical diagnosis, AI-based financial risk early warning)
- Research on the integration of green Internet and AI (e.g., AI-optimized energy consumption in Internet data centers, intelligent traffic scheduling to reduce carbon emissions)
