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在線閱讀 --哲學社會科學版 2020年6期《內容推薦傳播的效能與啟示——基于一次算法驅動的實驗研究》
內容推薦傳播的效能與啟示——基于一次算法驅動的實驗研究--[在線閱讀]
劉雪梅, 黃玉鳳
廣州大學 新聞與傳播學院, 廣東 廣州 510006
起止頁碼: 112--119頁
DOI: 10.13763/j.cnki.jhebnu.psse.2020.06.015
摘要
為了研究網絡信息的推薦傳播現象,有必要在文獻回顧的基礎上構建一個內容推薦模型。在此算法實驗中可以察覺,盡管內容推薦對受眾產生明確顯著的影響,然而它對受眾行為發生誤判的幾率也不容忽視,而且其在信息偏食者和其他用戶的平衡上同樣存在技術漏洞。此外,算法是否中性,網絡用戶是否會被算法接管,算法對集體注意力的貢獻以及算法與傳播環境的關系,這四個方面的問題仍有待給出進一步的思考,從中可以發現,盡管內容推薦傳播是一種信息獲取的升級,但還需要更多實踐的檢驗與反饋。
關鍵字: 算法 內容推薦 傳播

Efficiency and Inspiration of Information Pushing—Based on an Experimental Study Driven by Algorithm
LIU Xuemei, HUANG Yufeng
School of Journalism and Communication, Guangzhou University, Guangzhou Guangdong 510006, China
Abstract:
To investigate the pushing mechanism of information on cyber communication, the author constructed a model of pushing behavior based on literature view. In the algorithm experiment, it was observed that although information pushing had a clear and remarkable impact on the receivers, the probability of misjudgment of receiver behavior should not be ignored, and there were also technical loopholes in the balance between picky information receivers and other users. In addition, algorithm neutrality, the dominance of algorithm over network users, the contribution of the algorithm to collective attention and the relationship between the algorithm and the communication environment need further consideration. It is concluded that although information pushing is an upgrade of information acquisition, it still needs more practical test and feedback.

收稿日期: 2020-07-15
基金項目: 教育部哲學社會科學一般項目“數據驅動的網絡大電影用戶畫像研究”(項目編號:19YJA760038)

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