Gwon Nahyun, Jeong Wonjeong, Kim Jee Hyun, Oh Kyoung Hee, Jun Jae Kwan
Cancer Knowledge and Information Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.
JMIR Form Res. 2024 Aug 7;8:e48284. doi: 10.2196/48284.
Fake health-related news has spread rapidly through the internet, causing harm to individuals and society. Despite interventions, a fenbendazole scandal recently spread among patients with lung cancer in South Korea. It is crucial to intervene appropriately to prevent the spread of fake news.
This study investigated the appropriate timing of interventions to minimize the side effects of fake news.
A simulation was conducted using the susceptible-infected-recovered (SIR) model, which is a representative model of the virus spread mechanism. We applied this model to the fake news spread mechanism. The parameters were set similarly to those in the digital environment, where the fenbendazole scandal occurred. NetLogo, an agent-based model, was used as the analytical tool.
Fake news lasted 278 days in the absence of interventions. As a result of adjusting and analyzing the timing of the intervention in response to the fenbendazole scandal, we found that faster intervention leads to a shorter duration of fake news (intervention at 54 days = fake news that lasted for 210 days; intervention at 16 days = fake news that lasted for 187 days; and intervention at 10 days = fake news that lasted for 157 days). However, no significant differences were observed when the intervention was performed within 10 days.
Interventions implemented within 10 days were effective in reducing the duration of the spread of fake news. Our findings suggest that timely intervention is critical for preventing the spread of fake news in the digital environment. Additionally, a monitoring system that can detect fake news should be developed for a rapid response.
与健康相关的虚假新闻通过互联网迅速传播，对个人和社会造成危害。尽管采取了干预措施，但最近韩国一种芬苯达唑丑闻在肺癌患者中蔓延。适当干预以防止虚假新闻传播至关重要。
本研究调查了干预的合适时机，以尽量减少虚假新闻的副作用。
使用易感-感染-康复（SIR）模型进行模拟，该模型是病毒传播机制的代表性模型。我们将此模型应用于虚假新闻传播机制。参数设置与芬苯达唑丑闻发生的数字环境中的参数类似。基于主体的模型NetLogo用作分析工具。
在没有干预的情况下，虚假新闻持续了278天。作为针对芬苯达唑丑闻调整和分析干预时机的结果，我们发现更快的干预会导致虚假新闻持续时间缩短（在第54天干预 = 虚假新闻持续210天；在第16天干预 = 虚假新闻持续187天；在第10天干预 = 虚假新闻持续157天）。然而，在10天内进行干预时未观察到显著差异。
在10天内实施的干预措施在减少虚假新闻传播持续时间方面是有效的。我们的研究结果表明，及时干预对于防止数字环境中虚假新闻的传播至关重要。此外，应开发一个能够检测虚假新闻的监测系统以便快速响应。
