| Title | A System Dynamics Model of False News on Social Networking Sites |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Concepcion, A. R., Sy, C. |
| Conference Name | 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
| Date Published | dec |
| Keywords | Behavioral sciences, Collaboration, disinformation, Engineering management, false news, false trust, Heuristic algorithms, Industrial engineering, misinformation, Modeling, Organizations, policy-based governance, pubcrawl, resilience, Resiliency, Scalability, social media, social networking (online), social networking sites, System Dynamics |
| Abstract | Over the years, false news has polluted the online media landscape across the world. In this "post-truth" era, the narratives created by false news have now come into fruition through dismantled democracies, disbelief in science, and hyper-polarized societies. Despite increased efforts in fact-checking & labeling, strengthening detection systems, de-platforming powerful users, promoting media literacy and awareness of the issue, false news continues to be spread exponentially. This study models the behaviors of both the victims of false news and the platform in which it is spread-- through the system dynamics methodology. The model was used to develop a policy design by evaluating existing and proposed solutions. The results recommended actively countering confirmation bias, restructuring social networking sites' recommendation algorithms, and increasing public trust in news organizations. |
| DOI | 10.1109/IEEM55944.2022.9989859 |
| Citation Key | concepcion_system_2022 |
A System Dynamics Model of False News on Social Networking Sites