Quantitative Characterization and Identification of the Company-Related Disinformation Channel Among Media

IEEE Access

卷:8

Tong Li¹  Yongtian Yu¹  Guang Yu¹  Qingli Man²  Qiuping Chen² 

[1] School of Management, Harbin Institute of Technology, Harbin, China;

[2] Zhiwei Data, Ningbo, China;

关键词: Disinformation channel;    machine learning;    media;    disinformation;    information disorder;    online news;   

DOI  :  10.1109/ACCESS.2020.2971727

来源: DOAJ

【 摘 要 】

In the Web 2.0 age, mass media disseminates the disinformation of companies and exerts considerable influence. How to manage this trend in a timely and effective fashion in this big data era has become difficult. In this study, we delve into this issue by trying to identify the core disseminators in the dissemination process. We propose the concept of a disinformation channel and quantitatively analyse these company-related disinformation channels among media outlets. By empirically analysing 4,689 disinformation news values and 330 channels in 2018, we reveal that the disinformation values and negative news values are characteristics. We also build automatic identification models to identify these channels from the media combined with machine learning algorithms. Our study sheds light on disinformation, thus providing managers with an empirical basis upon which to analyse the media and help them address the disinformation problem.

【 授权许可】

Unknown