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Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Meanwhile, the endogenous health information demand of the public stimulates its dissemination by mass media while providing opportunities for rumor mongers to spread rumors [6]. Up to now, official media or institutions have been the main force in debunking rumors and misconceptions. However, relying on official institutions for the refutation has limitations.

Yuan Luo, Yiqun Miao, Yuhan Zhao, Jiawei Li, Yuling Chen, Yuexue Yue, Ying Wu

JMIR Form Res 2024;8:e63188

A Serious Game (“Fight With Virus”) for Preventing COVID-19 Health Rumors: Development and Experimental Study

A Serious Game (“Fight With Virus”) for Preventing COVID-19 Health Rumors: Development and Experimental Study

Dependent variables: The variables were cognitive questionnaire (1) overall correct response rate of judgment and recognition of the COVID-19 health rumor (X1 for G1, Y1 for G2 [G2 did not participate in the serious game experiment]), (2) correct rate of judgment and recognition the COVID-19 health rumor part 1 (X2 for G1 [COVID-19 health rumor not included in the serious game experiment], Y2 for G2), and (3) correct rate of judgment and identification of the COVID-19 health rumor part 2 (X3 for G1, Y3 for G2

Shuo Xiong, Long Zuo, Qiwei Chen, Zhang Zeliang, Mohd Nor Akmal Khalid

JMIR Serious Games 2024;12:e45546

Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study

Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study

We developed a system that collects and provides rumor information, called a “rumor cloud” [27], which indirectly collects rumor information through counterrumors. In our system, counterrumors include phrases such as “XXX is a rumor” and contain Japanese keywords such as “rumor” and “mistake.” We designate these keywords as “rumor markers.” Rumor markers used in this study were words that were listed in a Japanese thesaurus and were contained in rumor counters on Twitter after March 11 in Japan [27].

Mai Hirabayashi, Daisaku Shibata, Emiko Shinohara, Yoshimasa Kawazoe

JMIR Form Res 2023;7:e45867

COVID-19–Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study

COVID-19–Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study

Based on official statements from the government regarding each rumor, trained researchers manually divided each media report into 3 categories: (1) the report disseminated or perpetuated the rumor, (2) the report disseminated correct information to refute the rumor, or (3) the report disseminated ambiguous information that did not clearly support or refute the rumor.

Peishan Ning, Peixia Cheng, Jie Li, Ming Zheng, David C Schwebel, Yang Yang, Peng Lu, Li Mengdi, Zhuo Zhang, Guoqing Hu

J Med Internet Res 2021;23(12):e27339

Dissemination and Refutation of Rumors During the COVID-19 Outbreak in China: Infodemiology Study

Dissemination and Refutation of Rumors During the COVID-19 Outbreak in China: Infodemiology Study

Each post in the Rumors on Weibo account contains a rumor message and related rumor-refuting information. During the first week of the study period (January 20-27), a small sample of 311 rumor messages was collected via the Rumors on Weibo account, and word frequency analysis was performed on these messages.

Bin Chen, Xinyi Chen, Jin Pan, Kui Liu, Bo Xie, Wei Wang, Ying Peng, Fei Wang, Na Li, Jianmin Jiang

J Med Internet Res 2021;23(2):e22427

Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

Reference 3: Rumor and gossip research Reference 7: The Retransmission of Rumor-related Tweets: Characteristics of Source and Message Reference 8: Rumor acceptance during public health crises: testing the emotional congruence hypothesis Reference 30: Rumor as communication: a contextualist approach Reference 31: A model and simulation of the emotional contagion of netizens in the process of rumor refutationrumor

Wei Dong, Jinhu Tao, Xiaolin Xia, Lin Ye, Hanli Xu, Peiye Jiang, Yangyang Liu

J Med Internet Res 2020;22(11):e21933

Wildfire-Like Effect of a WhatsApp Campaign to Mobilize a Group of Predominantly Health Professionals With a University Degree on a Health Issue: Infodemiology Study

Wildfire-Like Effect of a WhatsApp Campaign to Mobilize a Group of Predominantly Health Professionals With a University Degree on a Health Issue: Infodemiology Study

From the 19 messages discussing the topic of the group, 12 messages mentioned a rumor related to the topic in contrast to only 7 messages without rumors (Figure 5). Number and time distribution of messages elaborating the group topic (influence of technology on health) that contained a rumor versus equivalent messages that did not contain a rumor. No message stated a counterargument or opposed the viewpoints of the administrator.

Vanja Kopilaš, Srećko Gajović

J Med Internet Res 2020;22(8):e17051

Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study

Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study

We employed these four keywords relevant to recommended personal protection measures to assess public behavioral responses to the COVID-19 epidemic (the Ali platform did not generate an index for rumor-related items). Public awareness on the epidemic was assessed using the Baidu daily indices in China and Google Trends indices worldwide.

Zhiyuan Hou, Fanxing Du, Xinyu Zhou, Hao Jiang, Sam Martin, Heidi Larson, Leesa Lin

J Med Internet Res 2020;22(8):e21143