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81por Yuan, Yue, Yang, Shuting, Jiang, Xinying, Sun, Xiaomin, Lin, Yiqin, Liu, Zhenzhen, Zhu, Yiming, Zhao, Qi“…Combining qualitative (study 1 extracted 1907 rumors from top rumor-refuting websites using the Python Web Crawler and conducted content analysis) and quantitative (study 2 conducted an online survey adopting a three-wave design, N = 444) research methods, the current study revealed that government-related rumors accounted for the largest proportion of rumors during the outbreak stage of the pandemic and were positively associated with the public’s negative emotions. …”
Publicado 2022
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82“…In this paper, we studied a delayed rumor spreading model with discontinuous threshold control. …”
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83por Hezam, Ibrahim M., Almshnanah, Abdulkarem, Mubarak, Ahmed A., Das, Amrit, Foul, Abdelaziz, Alrasheedi, Adel Fahad“…Unfortunately, the COVID-19 outbreak has been accompanied by the spread of rumors and depressing news. Herein, we develop a dynamic nested optimal control model of COVID-19 and its rumor outbreaks. …”
Publicado 2023
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84“…A rumor can spread rapidly across a network and can be difficult to control once it has gained traction.Rumor influence minimization (RIM) is a central problem in information diffusion and network theory that involves finding ways to minimize rumor spread within a social network. …”
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85“…With the development of the Internet, it is more convenient for people to obtain information, which also facilitates the spread of rumors. It is imperative to study the mechanisms of rumor transmission to control the spread of rumors. …”
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86“…Furthermore, to have a thorough grasp of rumor prevention to spread, we also looked into various pertinent approaches, including rumor veracity classification, stance classification, tracking, and combating. …”
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87“…We measured both memory for the article and belief in the false rumor. We saw no difference in fact check efficacy based on the type of headline (question vs negation) or the number of newsroom logos present around the article (one, four, or seven). …”
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88“…To promote vaccination, it is necessary to clarify what kind of information on social media can influence attitudes toward vaccines. OBJECTIVE: False rumors and counterrumors are often posted and spread in large numbers on social media, especially during emergencies. …”
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89“…Information about potential danger is a central component of many rumors, urban legends, ritual prescriptions, religious prohibitions and witchcraft crazes. …”
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90“…Social networks have become a major platform for people to disseminate information, which can include negative rumors. In recent years, rumors on social networks has caused grave problems and considerable damages. …”
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91“…The situation was made worse by the spread of rumors and false information about what this virus is and ways to prevent it. …”
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92por Chen, Bin, Chen, Xinyi, Pan, Jin, Liu, Kui, Xie, Bo, Wang, Wei, Peng, Ying, Wang, Fei, Li, Na, Jiang, Jianmin“…BACKGROUND: During the outbreak of COVID-19, numerous rumors emerged on the internet in China and caused confusion among the public. …”
Publicado 2021
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93“…With the outbreak of COVID-19, online sharing of rumors about the disease is of growing concern worldwide. …”
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94“…Social media has become an ideal platform for the propagation of rumors, fake news, and misinformation. Rumors on social media not only mislead online users but also affect the real world immensely. …”
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95“…Driven by people’s psychology of conformity, panic, group polarization, etc., various rumors appeared and spread wildly, and the Internet became a hotbed of rumors. (2) Methods: the study selected Weibo as the research media, using topic models, time series analysis, sentiment analysis, and Granger causality testing methods to analyze the social media texts related to COVID-19 rumors. (3) Results: in study 1, we obtained 21 topics related to “COVID-19 rumors” and “outbreak rumors” after conducting topic model analysis on Weibo texts; in study 2, we explored the emotional changes of netizens before and after rumor dispelling information was released and found people’s positive emotions first declined and then rose; in study 3, we also explored the emotional changes of netizens before and after the “Wuhan lockdown” event and found positive sentiment of people in non-Wuhan areas increased, while negative sentiment of people in Wuhan increased; in study 4, we studied the relationship between rumor spread and emotional polarity and found negative sentiment and rumor spread was causally interrelated. (4) Conclusion: These findings could help us to intuitively understand the impact of rumors spread on people’s emotions during the COVID-19 pandemic and help the government take measures to reduce panic.…”
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96“…False rumors (often termed “fake news”) on social media pose a significant threat to modern societies. …”
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97“…The capturing of social opinions, especially rumors, is a crucial issue in digital public health. …”
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98“…Therefore, this study aims to reveal the characteristics and the driving factors of the social rumors during the COVID-19 pandemic. METHODS: Based on a sample of 1,537 rumors collected from Sina Weibo's debunking account, this paper first divided the sample into four categories and calculated the risk level of all kinds of rumors. …”
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99“…Considering the small-world property of social networks, the source tweet-word graph is decomposed from the global graph of rumors, and a rumor detection method based on graph attention network of source tweet-word graph is proposed to fully learn the structure of rumor propagation and the deep representation of text contents. …”
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100“…While this facilitates people’s communication and access to information, it also provides an ideal platform for spreading rumors. In normal or critical situations, rumors can affect people’s judgment and even endanger social security. …”
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