Reciprocal spreading and debunking processes of online misinformation: A new rumor spreading-debunking model with a case study

In this digital era, massive digital misinformation was ranked first by the World Economic Forum among the top future global risks. As human and financial resources are limited, governments or companies would like to use the optimal level of debunking effort and the most efficient debunking strategy. There exists a rich literature that studies the rumor spreading process on social media. However, a huge gap exists on studying the simultaneous propagation of false rumors and debunking information, and the interplay between them. The spreading of rumors and anti-rumors is a dynamic and reciprocal process. Acknowledging that effective debunking strategy is a potential tool to reduce the loss of massive digital misinformation, this paper proposes a novel rumor spreading-debunking (RSD) model by ordinary differential equation (ODE) system to explore the interplay mechanism between rumor spreading and debunking processes. We derive and discuss the key factors and parameters that influence the debunking process. Firstly, we consider the spreading pattern of a rumor before Debunkers appear based on the Susceptible-Infected-Recovered (SIR) model with its own characteristics of rumor, and obtain a series of results including the final scope of the rumor spreading, the maximal scale of the rumor spreader, the number of Stiflers at any time point, and the popularity level of the rumor. Secondly, with the data from the real world rumor case, which is the Immigration Rumor during Hurricane Harvey in 2017, we determine the case-specific parameters, and validate our model by comparing the simulated curve with the real data. Our model helps to understand the impact of the rumor on the social media, and predict the future trend. Finally, we use our model to simulate the influence of different debunking strategy, and identify more efficient debunking measures that should be used by the government officials or companies when facing rumor mill under different situations. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

In the digital era, the simultaneous propagation of false rumors and debunking information on social media is a dynamic and reciprocal process. This study introduces a novel RSD model to explore the interplay mechanism between rumor spreading and debunking processes, identifying key factors and parameters influencing the debunking process. By using the SIR model and real-world rumor case data, the model is validated, helping to predict the impact of rumors on social media and suggest more efficient debunking measures for governments and companies facing rumor mill situations.