| Literature DB >> 33275199 |
Ciara M Greene1, Gillian Murphy2.
Abstract
Exposure to 'fake news' can result in false memories, with possible consequences for downstream behaviour. Given the sharp rise in online misinformation during the coronavirus pandemic, it is important to understand the factors that influence the development of false memories. The present study measured susceptibility to false memories following exposure to fabricated news stories about the pandemic in a sample of 3746 participants. We investigated the effect of individual differences in (1) knowledge about COVID-19, (2) engagement with media or discussion about the coronavirus, (3) anxiety about COVID-19 and (4) analytical reasoning. Notably, objectively and subjectively assessed knowledge about COVID-19 were not significantly correlated. Objectively assessed knowledge was associated with fewer false memories but more true memories, suggesting a true discrimination between true and fake news. In contrast, participants who merely believed themselves to be very knowledgeable were more likely to report a memory for true stories, but showed no reduction in false memories. Similarly, individuals who reported high levels of media engagement or anxiety about COVID-19 reported an increase in true (but not false) memories. Finally, higher levels of analytical reasoning were associated with fewer memories for both true and fabricated stories, suggesting a stricter threshold for reporting a memory for any story. These data indicate that false memories can form in response to fake COVID-19 news and that susceptibility to this misinformation is affected by the individual's knowledge about and interaction with COVID-19 information, as well as their tendency to think critically.Entities:
Year: 2020 PMID: 33275199 PMCID: PMC7716111 DOI: 10.1186/s41235-020-00262-1
Source DB: PubMed Journal: Cogn Res Princ Implic ISSN: 2365-7464
Responses to true and fabricated stories, including proportion of participants who endorsed each response option and mean truthfulness rating for each story
| Response | Fabricated stories | |||
|---|---|---|---|---|
| Chilli peppers | Coffee | COVID-19 vaccine | Contact-tracing app | |
| I have a clear memory of seeing/hearing about this | 30 (1.61%) | 57 (3.09%) | 46 (2.49%) | 193 (10.36%) |
| I have a vague memory of this event occurring | 85 (4.56%) | 138 (7.49%) | 125 (6.77%) | 282 (15.14%) |
| I don’t have a memory of this, but it feels familiar | 88 (4.73%) | 114 (6.19%) | 182 (9.85%) | 172 (9.23%) |
| I remember this differently | 17 (0.91%) | 12 (0.65%) | 29 (1.57%) | 93 (4.99%) |
| I don't remember this | 1642 (88.18%) | 1522 (82.58%) | 1465 (79.32%) | 1123 (60.28%) |
| Average truthfulness rating [mean (SD)] | 15.62 (21.54) | 19.20 (24.50) | 26.79 (28.09) | 60.24 (34.97) |
| Total | 1862 | 1843 | 1847 | 1863 |
Regression coefficients for individual predictors of susceptibility to COVID-19 misinformation
| Predictor | SE ( | Wald | 95% CI ( | ||||
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| (Intercept) | − 1.136 | 0.32 | 0.32 | 12.90 | < 0.001 | − 1.76 | − 0.52 |
| Objective knowledge* | − 0.10 | 0.03 | 0.91 | 11.71 | < 0.001 | − 0.15 | − 0.04 |
| Perceived knowledge | 0.07 | 0.05 | 1.07 | 2.42 | 0.12 | − 0.02 | 0.16 |
| Engagement | 0.07 | 0.05 | 1.07 | 1.88 | 0.17 | − 0.03 | 0.17 |
| COVID-19 anxiety | 0.02 | 0.02 | 1.02 | 1.03 | 0.31 | − 0.02 | 0.07 |
| CRT score* | − 0.08 | 0.02 | 0.92 | 16.61 | < 0.001 | − 0.12 | − 0.04 |
* p < 0.05
aFor Poisson regressions (i.e. false memory count), β (Exp (B)) is given as 1 for no effect, with values > 1 for positive effects and < 1 for negative effects. For linear regressions (i.e. true memory count), β is given as 0 for no effect with values < 0 for negative effects and > 0 for positive effects
Fig. 1Scatterplot matrix with jittered datapoints and marginal distributions, depicting the relationship of false memory count (top row) and true memory count (bottom row) with each of the predictor variables