{"title":"中英文计算通信研究：问题、方法与理论","authors":"Lan Peng, Mengyao An","doi":"10.26599/gjms.2023.9330002","DOIUrl":null,"url":null,"abstract":"\n 2022年,在智能传播的研究领域,智能媒体、算法、人机关系等仍是主要研究焦点。在智能媒体研究方面,既有对从业者面对智能挑战的认知、态度的实证研究,也有从智能媒体带来的思维和关系变革角度进行的理论思考。在算法研究方面,越来越多的研究涉及算法对内容及舆论生态的影响、用户的算法抵抗等话题,一些研究也将算法研究扩张到文化视角。在人机关系研究中,人机信任相关的问题在实证研究中得到更多体现,人机融合、人机传播等方面的研究也开始推进。未来的智能传播研究,还需要智能传播当作一种全民实践,探究全民参与的 AIGC 革命及其影响,洞察智能传播背景下的日常生活,对于智能传播中的 “排斥者”或 “被排斥者”,也需要有更多关照。\n","PeriodicalId":69715,"journal":{"name":"全球传媒学刊","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Communication Studies in Chinese and English: Issues, Methods and Theories\",\"authors\":\"Lan Peng, Mengyao An\",\"doi\":\"10.26599/gjms.2023.9330002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 2022年,在智能传播的研究领域,智能媒体、算法、人机关系等仍是主要研究焦点。在智能媒体研究方面,既有对从业者面对智能挑战的认知、态度的实证研究,也有从智能媒体带来的思维和关系变革角度进行的理论思考。在算法研究方面,越来越多的研究涉及算法对内容及舆论生态的影响、用户的算法抵抗等话题,一些研究也将算法研究扩张到文化视角。在人机关系研究中,人机信任相关的问题在实证研究中得到更多体现,人机融合、人机传播等方面的研究也开始推进。未来的智能传播研究,还需要智能传播当作一种全民实践,探究全民参与的 AIGC 革命及其影响,洞察智能传播背景下的日常生活,对于智能传播中的 “排斥者”或 “被排斥者”,也需要有更多关照。\\n\",\"PeriodicalId\":69715,\"journal\":{\"name\":\"全球传媒学刊\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"全球传媒学刊\",\"FirstCategoryId\":\"1092\",\"ListUrlMain\":\"https://doi.org/10.26599/gjms.2023.9330002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"全球传媒学刊","FirstCategoryId":"1092","ListUrlMain":"https://doi.org/10.26599/gjms.2023.9330002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
In the field of intelligent communication research in 2022, smart media, algorithms, human-machine relationships, etc., will still be the main research focus. In terms of smart media research, there are both empirical studies on practitioners' cognition and attitudes towards intelligent challenges, as well as theoretical thinking from the perspective of the thinking and relationship changes brought about by smart media. In terms of algorithm research, an increasing number of studies involve topics such as the impact of algorithms on content and public opinion ecology, user resistance to algorithms, and some studies have also expanded algorithm research to a cultural perspective. In the study of human-machine relationships, issues related to human-machine trust have been more reflected in empirical research, and research on human-machine integration, human-machine communication, and other aspects has also begun to advance. In future research on intelligent communication, it is also necessary to treat intelligent communication as a universal practice, explore the AIGC revolution and its impact, gain insight into daily life in the context of intelligent communication, and pay more attention to the "excluded" or "excluded" in intelligent communication.
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