Potential use of large language models for mitigating students’ problematic social media use: ChatGPT as an example

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-19 DOI:10.5498/wjp.v14.i3.334
Xin-Qiao Liu, Zi-Ru Zhang
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引用次数: 0

Abstract

The problematic use of social media has numerous negative impacts on individuals' daily lives, interpersonal relationships, physical and mental health, and more. Currently, there are few methods and tools to alleviate problematic social media, and their potential is yet to be fully realized. Emerging large language models (LLMs) are becoming increasingly popular for providing information and assistance to people and are being applied in many aspects of life. In mitigating problematic social media use, LLMs such as ChatGPT can play a positive role by serving as conversational partners and outlets for users, providing personalized information and resources, monitoring and intervening in problematic social media use, and more. In this process, we should recognize both the enormous potential and endless possibilities of LLMs such as ChatGPT, leveraging their advantages to better address problematic social media use, while also acknowledging the limitations and potential pitfalls of ChatGPT technology, such as errors, limitations in issue resolution, privacy and security concerns, and potential overreliance. When we leverage the advantages of LLMs to address issues in social media usage, we must adopt a cautious and ethical approach, being vigilant of the potential adverse effects that LLMs may have in addressing problematic social media use to better harness technology to serve individuals and society.
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大语言模型在减少学生使用问题社交媒体方面的潜在用途:以 ChatGPT 为例
有问题地使用社交媒体对个人的日常生活、人际关系、身心健康等产生了许多负面影响。目前,缓解问题社交媒体的方法和工具很少,其潜力也有待充分发挥。新兴的大型语言模型(LLM)在为人们提供信息和帮助方面越来越受欢迎,并被应用于生活的许多方面。在减少有问题的社交媒体使用方面,像 ChatGPT 这样的 LLM 可以发挥积极作用,成为用户的对话伙伴和出口,提供个性化的信息和资源,监控和干预有问题的社交媒体使用等等。在这一过程中,我们既要认识到 ChatGPT 等 LLM 的巨大潜力和无限可能,利用其优势更好地解决社交媒体使用中的问题,同时也要承认 ChatGPT 技术的局限性和潜在隐患,如错误、问题解决的局限性、隐私和安全问题以及潜在的过度依赖。当我们利用 LLMs 的优势来解决社交媒体使用中的问题时,我们必须采取谨慎和合乎道德的方法,警惕 LLMs 在解决社交媒体使用问题时可能产生的潜在不利影响,从而更好地利用技术为个人和社会服务。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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Issue Editorial Masthead Issue Publication Information Marking the 100th Issue of ACS Applied Electronic Materials Pushing down the Limit of Ammonia Detection of ZnO-Based Chemiresistive Sensors with Exposed Hexagonal Facets at Room Temperature Direct-Printed Mn–Ni–Cu–O/Poly(vinyl butyral) Composites for Sintering-Free, Flexible Thermistors with High Sensitivity
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