2015
DOI: 10.1016/s0140-6736(14)62382-5
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Ebola: limitations of correcting misinformation

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Cited by 109 publications
(86 citation statements)
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“…Doing so would not have been feasible as there were various simultaneous campaigns across the districts. In addition, other factors may have influenced KAP [34] that were not captured by the assessments such as financial constraints, levels of trust in local authorities and having some direct Ebola experience (e.g. witnessing a loved one or neighbour become infected or die from Ebola).The variability in socio-demographic characteristics in samples from the two locations may have influenced the results.…”
Section: Limitationsmentioning
confidence: 99%
“…Doing so would not have been feasible as there were various simultaneous campaigns across the districts. In addition, other factors may have influenced KAP [34] that were not captured by the assessments such as financial constraints, levels of trust in local authorities and having some direct Ebola experience (e.g. witnessing a loved one or neighbour become infected or die from Ebola).The variability in socio-demographic characteristics in samples from the two locations may have influenced the results.…”
Section: Limitationsmentioning
confidence: 99%
“…Scientists and health professionals expressed tremendous frustration over the relationship between misinformation circulating on the Internet and the global public's perceptions and responses during the Ebola epidemic that originated in West Africa (Chandler et al, 2015;The Lancet, 2014;Merino, 2014;Mitman, 2014;Oyeyemi, Gabarron, & Wynn, 2014;Ratzan & Moritsugu, 2014;Trad, Fisher, & Tambyah, 2014). Their interpretation of the situation was often unidirectional: misinformation shaped public sentiment.…”
mentioning
confidence: 99%
“…Their interpretation of the situation was often unidirectional: misinformation shaped public sentiment. Thus, corresponding solutions were frequently too simplistic, aimed at correcting the misinformation in an effort to redirect public sentiment globally, an ultimately ineffective approach (Chandler et al, 2015). New network theory research suggests the true relationship between misinformation and public perception is much more complex: the networked public sphere is no longer merely a target audience but is now a major contributor to the online health communication arena, shaping the conversations with individual sentiments and social engagements.…”
mentioning
confidence: 99%
“…Social media is also useful during public health emergencies, for instance using Twitter as a way to better understand the public perception of the Ebola Virus through the access of both correct and incorrect information [24]. In the case of Ebola, professionals with understanding of social media were able to see miscommunication and misperceptions and work toward better informing the public [25]. Another example is Google Flu Tracker which used search terms to predict (albeit not very successfully [26]) spikes in influenza [27].…”
Section: Future Directionsmentioning
confidence: 99%