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

Abstract

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.

Ranking Influential Nodes of Fake News Spreading on Mobile Social Networks

“…Existing studies on fake news spreading largely focus on rumor identification, detection and prediction (Bondielli & Marcelloni, 2019;Xu et al, 2020;Yu et al, 2020;Zhang & Ghorbani, 2020). However, not many studies pay attention to the identification of influential users in the research area of fake news spreading.…”