Why misinformation must not be ignored
Bibliographic Data
| ID | 8711368 |
|---|---|
| Authors | Ullrich K H Ecker (0000-0003-4743-313X, corresponding author), Li Qian Tay (0000-0001-7990-0455), Jon Roozenbeek (0000-0002-8150-9305), Sander Van Der Linden (0000-0002-0269-1744), John Cook (0000-0002-3330-5180), Naomi Oreskes (0000-0001-6122-9843), Lewandowsky (0000-0003-1655-2013), Stephan Lewandowsky |
| Year | 2024 |
| Volume | 80 |
| Issue | 6 |
| Pages | 867-878 |
| Publication date | 2024-12-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Psychologist (JOURNAL) |
| Journal identifiers | ISSN: 0003-066X • E-ISSN: 1935-990X |
| Publisher | American Psychological Association (PUBLISHER • US) |
| DOI | 10.1037/amp0001448 |
| PMID | 39666498 |
| OpenAlex | W4405320086 |
| Language | EN |
| Citations received | 8 |
Recent academic debate has seen the emergence of the claim that misinformation is not a significant societal problem. We argue that the arguments used to support this minimizing position are flawed, particularly if interpreted (e.g., by policymakers or the public) as suggesting that misinformation can be safely ignored. Here, we rebut the two main claims, namely that misinformation is not of substantive concern (a) due to its low incidence and (b) because it has no causal influence on notable political or behavioral outcomes. Through a critical review of the current literature, we demonstrate that (a) the prevalence of misinformation is nonnegligible if reasonably inclusive definitions are applied and that (b) misinformation has causal impacts on important beliefs and behaviors. Both scholars and policymakers should therefore continue to take misinformation seriously. (PsycInfo Database Record (c) 2025 APA, all rights reserved)
Internet privacy · Law and economics · MEDLINE · Misinformation · Political science · Politics · PsycINFO · Public relations · Sociology · Computer Science · Misinformation and Its Impacts · Psychology · Law · Social Psychology
Why share debunking information? Investigating the relationship between motivation, sharing behavior, gratification, and continuous sharing intentions
Generative AI and misinformation
Understanding Cross-Platform Variability in Misinformation Engagement
Inoculation theory as a design approach to game-based misinformation interventions
A risk-analysis framework for evaluating the impact of information disorders
Speculative risks of effectively combating misinformation
Danger of Misinformation and Science Denial
The gateway (mis)belief model
| Unique citing works | 8 |
|---|---|
| Citations per year | 8 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |