
The complex nature of the ‘infodemic’ problem requires a combination of different approaches to analysing online information disorder. Approaches which emphasize analytical and critical thinking are important but have shortcomings. Fact-checking as a misinformation prevention strategy also has limitations. Certain types of misinformation disorder are complex and providing ‘facts’ alone may not change beliefs in adherents, particularly when deeply-held beliefs are involved. Sometimes the opposite effect of strengthening the false belief occurs. This has led to the strategy of trying to prevent or neutralize misinformation through ‘inoculation’ or ‘prebunking’ . Prebunking or inoculation involves exposing the flawed argumentation techniques of misinformation to prepare online content consumers against future misinformation. For analysing complex phenomena like conspiracy theories a ‘systems’ approach is more effective to reveal root causes of information disorder, provide actionable insight and long-term solutions.
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bepress|Social and Behavioral Sciences|Communication|Communication Technology and New Media, bepress|Social and Behavioral Sciences, bepress|Social and Behavioral Sciences|Communication, SocArXiv|Arts and Humanities, SocArXiv|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences|Communication, SocArXiv|Social and Behavioral Sciences|Communication|Social Media, bepress|Arts and Humanities, bepress|Social and Behavioral Sciences|Communication|Social Media, SocArXiv|Social and Behavioral Sciences|Communication|Communication Technology and New Media
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
