A postmodern Pandora's box: anti-vaccination misinformation on the Internet.
By Anna Kata. Vaccine, 2010
1,073 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Health, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a34eb27deea56974586de9ccd8092cd03ae7e394
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Emily K. Vraga
- Leticia Bode
- Kathleen Hall Jamieson
- Daniel Romer
- Jay J. Van Bavel
- D. Jolley
- Paul Gill
- Elizabeth Harris
In Health
- Karen M. Douglas
- J. Pierre
- Daniel Romer
- Kathleen Hall Jamieson
- D. Jolley
- Paul Gill
- Emily K. Vraga
- N. Brewer
In Sociology and Political Science
- Karen M. Douglas
- J. Pierre
- Emily K. Vraga
- Leticia Bode
- Kathleen Hall Jamieson
- Daniel Romer
- D. Jolley
- Hye Kyung Kim
Citations in the corpus
- How Trust in Experts and Media Use Affect Acceptance of Common Anti-Vaccination Claims (2020, result): “…is consistent with research suggesting that social media contain a fair amount of misinformation about vaccination (Evrony & Caplan, 2017; Kata, 2010; Keelan, Pavri-Garcia, Tomlinson, & Wilson, 2007; Larson et al., 2016), while traditional media are more likely to reflect the scientific…”
- Prevention is better than cure: Addressing anti‐vaccine conspiracy theories (2017, background): “According to the most popular conspiracy theories associated with the issue of vaccination, data is faked and harmful side-effects of vaccines are hidden from the public to ensure that pharmaceutical companies and governments are able to make money (Kata, 2010; Offit, 2010).”
- Mistrust and misinformation: A two-component, socio-epistemic model of belief in conspiracy theories (2020, methodology): “A 2010 study found that 71% of top 10 “hits” from Google searches Journal of Social and Political Psychology 2020, Vol. 8(2), 617–641 https://doi.org/10.5964/jspp.v8i2.1362 using the keyword “vaccination” linked to anti-vaccination sites (Kata, 2010).”
- Measuring Belief in Conspiracy Theories: The Generic Conspiracist Beliefs Scale (2013, background): “…found to detrimentally affect attitudes toward preventative measures and adherence to treatment programs (Bogart et al., 2010), and conspiracist fears concerning the safety of childhood vaccinations have played a role in declining vaccination rates (Salmon et al., 2005; Kata, 2010; Offit, 2011).”
- Effects of COVID-19 Misinformation on Information Seeking, Avoidance, and Processing: A Multicountry Comparative Study (2020, background): “While misinformation can persist for a long time without contradiction (Kata, 2010), for scientific issues, what is true or false can be altered with newly emerging evidence and consensus among experts (Vraga & Bode, 2020).”
- In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media (2015, background): “The fractured nature of the Internet also tends to send information seekers down dramatically different paths depending on mildly different search terms (Ruiz & Bell, 2014), where misinformation may persist for long periods without contradiction (Kata, 2010).”
- Conspiracy Beliefs and Violent Extremist Intentions: The Contingent Effects of Self-efficacy, Self-control and Law-related Morality (2020, background): “A multitude of new conspiracy theories emerged across Western societies in the 21 century relating to: 9/11 (Stempel, Hargrove, & Stempel, 2007; Swami, Chamorro-Premuzic, & Furnham, 2010), climate change (Douglas & Sutton, 2015; Leiserowitz, 2006), the deaths of Osama bin Laden and Princess Diana (W”