With the comprehensive involvement of algorithms in the information environment of people's daily lives, a series of problems caused by algorithm alienation have also aroused concern. In order to reveal whether computer algorithms have followed proper procedures and whether they have followed relevant legal standards and ethical codes, researchers have proposed the approach of algorithm auditing. However, the essence of algorithmic auditing is still algorithmic technology. How to define the problems of auditing, the value standards of auditing, and to test the results of auditing all need to be considered back at the social level, in conjunction with the stakeholders of the algorithm. As a carrier of social information, the news media amplifies the rights of algorithms while disseminating information. The process of media embedding in society and the process of algorithms diffusing society are two sides of the same coin, and this paper focuses on the monitoring role of the media as a third-party auditor in algorithmic auditing, and explores the future path of media participation in algorithmic auditing.

Wang Lixiang. Exploring the Role of Media Scrutiny in Algorithmic Auditing. Academic Journal of Humanities & Social Sciences (2023) Vol. 6, Issue 2: 116-121. https://doi.org/10.25236/AJHSS.2023.060220.

[1] Yu Guoming, Yang Yingying, Yan Qiaomei. (2018).Algorithm as power:The power revolution of algorithmic paradigm in news communication[J]. Editor's Friend (05):5-12.

[2] Ofcom.(2022). “Auditing algorithms : the existing landscape, role of regulators and future outlook”. Findings from the DRCF Algorithmic Processing workstream ,Spring.

[3] Jiang Linlin, Sun Yu.(2022). Beyond media:A triple vision for exploring the new stage of media convergence[J]. Contemporary Communication (02) :58-61.

[4] Jack Bandy,Authors Info & Claims.(2021).“ Problematic Machine Behavior: A Systemat ic Literature Review of Algorithm Audits ”.Proceedings of the ACM on Human-Compu ter Interaction Volume 5 Issue CSCW1 April.

[5] Christian Sandvig et al.(2014). “Auditing Algorithms : Research Methods for Detecti ng Discrimination on Internet Platforms”. the 64th Annual Meeting of the Interna tional Communication Association. International Communication Association. May 22.

[6] Lee, Seung C.(2021). “Auditing Algorithms : A Rational Counterfactual Framework”. journal of International Technology and Information Management. 30(2).

[7] Biagio Aragona.(2021).“ Algorithm Audit : Why, What, and How?” [EB/OL]. https://doi.org/ 10.4324/9781003080381.

[8] Hong Shen et al.(2021).“ Everyday Algorithm Auditing : Understanding the Power of E veryday Users in Surfacing Harmful Algorithmic Behaviors”. Proceedings of the ACM on Human-Computer Interaction Volume 5 Issue CSCW2 October .

[9] Andrew Smart et al.(2020).“ Closing the AI accountability gap : defining an end-to-end framework for internal algorithmic auditing”[EB/OL].https://dl.acm.org/do i/abs/10.1145/3351095.3372873, 2020.1.

[10] Brown Shea; Davidovic Jovana et al.(2021).“The algorithm audit : Scoring the algor ithms that score us ”.Big Data & Society.1.28.

[11] Yin Kaimin, Liang Yi.(2021). The ethical controversy and review of algorithmic journalism[J]. Modern Communication (Journal of Communication University of China). 43(09) :64-68.