|
|
Algorithmic Ideology and Ideological Algorithms |
LIU Wei-bing |
Institute of Marxism, Fudan University, Shanghai, 200433 |
|
|
Abstract Algorithmic technology, as a finite sequence of instructions for processing data, is designed through code to design specific programs and steps so that classification, regression, and clustering of data can be accomplished on the basis of information data collection. Algorithmic techniques are able to automatically improve performance and gradually adapt to tasks through data or experience, presenting autonomous learning capabilities. The intelligent characteristics of algorithms make them widely used in production methods and social practices, thus implanting algorithmic technological logic into the process of ideology generation, promoting the socialization of spiritual production, the digital transformation of the ideological forms and the structure of ideology, and giving rise to the phenomenon of the algorithmic ideology and ideological algorithms. Algorithmic ideology is essentially the application of algorithmic technology in production practice to generate algorithmic leviathan, and in the field of ideological communication presents “filter bubbles”, “information cocoon”, “echo chamber”, etc, and in the field of ideological identity is manifested as digital fetishism. The algorithm of ideology is the algorithm technology in the application of logic under the ideology of data training and programming, not only the algorithm technology is constructed in the form of ideology construction and the process of ideological endowment, and algorithmic black box, algorithmic discrimination, algorithmic backdoor and other technical issues are also the ideological leadership, discourse, dominant algorithmic technology embodiment. In short, the ideology of algorithm and the algorithm of ideology are two sides of the same coin, which are essentially the reproduction of ideology through algorithm technology.
|
Received: 11 December 2023
|
|
|
|
|
[1] 马克思恩格斯文集(第5卷)[M]马克思恩格斯文集(第5卷)[M].北京:人民出版社,2009. 493. [2] 中共中央文献研究室.习近平关于科技创新论述摘编[M].北京:中央文献出版社,2016.76. [3] 马克思恩格斯文集(第1卷)[M].北京:人民出版社,2009. [4] 马克思恩格斯全集(第31卷)[M].北京:人民出版社,1998.100. [5] (英)克里斯蒂安·福克斯.数字劳动与卡尔·马克思[M].周延云译.北京:人民出版社,2020.123. [6] (法)路易·阿尔都塞.保卫马克思[M].顾良译.北京:商务印书馆,2010.229. [7] 刘伟兵. 历史唯物主义视域下意识形态具象化研究[J].思想教育研究,2023,(6):66-70. [8] G ran Therborn.The Ideology of Power and the Power of Ideology[M].London:Verso Editions and NLB,1980.43. [9] 王天恩.人工智能算法的深层认识论意蕴[J].湖北大学学报(哲学社会科学版),2023,(1):97-105+175. [10] (美)杰姆逊.后现代主义与文化理论[M].唐小兵译.北京:北京大学出版社,1997.272. [11] 张爱军.“算法利维坦”的风险及其规制[J].探索与争鸣,2021,(1):95-102+179. [12] 阎国华,韩硕.“过滤气泡”现象影响青年价值观的内在逻辑与应对策略[J].思想教育研究,2021,(4):84-88. [13] Cass R.Sunstein.Infotopia: How Many Minds Produce Knowledge[M].Oxford: Oxford University Press,2006.9. [14] (美)凯斯·R.桑斯坦.网络共和国:网络社会中的民主问题[M].黄维明译.上海:上海人民出版社,2003.2. [15] 刘强,赵茜.算法中选择的同化与异化——国外回音室效应研究20年述评与展望[J].新闻界,2021,(6):29-38. [16] 刘召峰.马克思拜物教批判的三重指向与历史性自觉[J].马克思主义研究,2019,(4):85-96+168. [17] 唐正东.马克思拜物教批判理论的辩证特性及其当代启示[J].哲学研究,2010,(7):3-9+128. [18] (以)尤瓦尔·赫拉利.未来简史:从智人到智神[M].林俊宏译.北京:中信出版社,2017.339. [19] 徐艳如. 数字拜物教的秘密及其背后的权力机制[J].马克思主义研究,2022,(6):105-113. [20] 俞吾金. 意识形态论[M].上海:上海人民出版社,2014. 97. [21] 孙伟平.价值哲学视域中的算法歧视与社会公正[J].哲学研究,2023,(3):46-55+126-127. [22] 龙钰. 数字舆情的传播趋势、演化机理、治理进路[J].深圳大学学报(人文社会科学版),2023,(5):88-96. [23] 唐亚林.使命型政党:新型政党理论分析范式创新与发展之道[J].政治学研究,2021,(4):38-49+155-156. [24] 周丹.社会主义市场经济条件下的资本价值[J].中国社会科学,2021,(4):128-145+207. [25] 谭九生,范晓韵.算法“黑箱”的成因、风险及其治理[J].湖南科技大学学报(社会科学版),2020,(6):92-99. [26] 刘朝. 算法歧视的表现、成因与治理策略[J].人民论坛,2022,(2):64-68. |
|
|
|