{"title":"非法金融科技借贷公司(网络贷款)收债人对影响法律产品的违约债务人的语言登记","authors":"A. Jaelani, G. Praramdana, Tifani Kautsar","doi":"10.4108/eai.2-12-2021.2320339","DOIUrl":null,"url":null,"abstract":". This study aims to describe legal products in the form of (hate speech) related to the potential of the Undang-Undang ITE from the debt collector register at Illegal Fintech Landing companies (online loans) in their communication to defaulted customers. This study uses a qualitative descriptive research method with a review of forensic linguistics. The techniques used are listen, take notes, and screenshots. Based on the results of data analysis that has been carried out, it is found that data in the form and function of the debt collector register have an impact on potential legal products (hate speech). The forms of registers found are classified into two parts, namely lingual and open. Furthermore, the register functions found are classified into two parts, namely instrumental functions and problem solving functions. Then the context of the speech of legal products found in the form of threats to customers who fail to pay. From this research, it is hoped that there will be no misunderstanding in understanding and using the register language later","PeriodicalId":243811,"journal":{"name":"Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Language Register Around Debt Collectors at Ilegal Fintech Lending Companies (Online Loans) Against Defaulting Debtors That Impact Legal Products Forensic Lingustic Review\",\"authors\":\"A. Jaelani, G. Praramdana, Tifani Kautsar\",\"doi\":\"10.4108/eai.2-12-2021.2320339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". This study aims to describe legal products in the form of (hate speech) related to the potential of the Undang-Undang ITE from the debt collector register at Illegal Fintech Landing companies (online loans) in their communication to defaulted customers. This study uses a qualitative descriptive research method with a review of forensic linguistics. The techniques used are listen, take notes, and screenshots. Based on the results of data analysis that has been carried out, it is found that data in the form and function of the debt collector register have an impact on potential legal products (hate speech). The forms of registers found are classified into two parts, namely lingual and open. Furthermore, the register functions found are classified into two parts, namely instrumental functions and problem solving functions. Then the context of the speech of legal products found in the form of threats to customers who fail to pay. From this research, it is hoped that there will be no misunderstanding in understanding and using the register language later\",\"PeriodicalId\":243811,\"journal\":{\"name\":\"Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/eai.2-12-2021.2320339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.2-12-2021.2320339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Language Register Around Debt Collectors at Ilegal Fintech Lending Companies (Online Loans) Against Defaulting Debtors That Impact Legal Products Forensic Lingustic Review
. This study aims to describe legal products in the form of (hate speech) related to the potential of the Undang-Undang ITE from the debt collector register at Illegal Fintech Landing companies (online loans) in their communication to defaulted customers. This study uses a qualitative descriptive research method with a review of forensic linguistics. The techniques used are listen, take notes, and screenshots. Based on the results of data analysis that has been carried out, it is found that data in the form and function of the debt collector register have an impact on potential legal products (hate speech). The forms of registers found are classified into two parts, namely lingual and open. Furthermore, the register functions found are classified into two parts, namely instrumental functions and problem solving functions. Then the context of the speech of legal products found in the form of threats to customers who fail to pay. From this research, it is hoped that there will be no misunderstanding in understanding and using the register language later