How social media users become misinformed
The roles of news-finds-me perception and misinformation exposure in Covid-19 misperception
Bibliographic Data
| ID | 6443469 |
|---|---|
| Authors | Taeyoung Lee (0000-0002-1657-678X, The University of Houston, USA, corresponding author), Thomas Johnson (0000-0002-6695-4291, The University of Texas at Austin), Thomas J Johnson (0000-0002-0028-4248, The University of Texas at Austin), Chenyan Jia (0000-0002-8407-9224, Northeastern University), Ivan Lacasa-Mas (0000-0002-9600-6049, Universitat Internacional de Catalunya) |
| Year | 2023 |
| Volume | 27 |
| Issue | 3 |
| Pages | 1730-1751 |
| Publication date | 2023-10-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | New Media & Society (JOURNAL) |
| Journal identifiers | ISSN: 1461-4448 • E-ISSN: 1461-7315 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/14614448231202480 |
| OpenAlex | W4387860772 |
| Language | EN |
| Citations received | 19 |
| References cited | 54 |
This study explores the role of the news-finds-me (NFM) perception—the belief that people can be well-informed without actively seeking news due to their social networks—in fostering social media users’ inaccurate beliefs about COVID-19. Findings from a US national survey ( N = 1003) suggest that NFM perception is positively associated with belief in COVID-19 misinformation and mediates the positive relationship between social media use and false beliefs when NFM is measured as a single-dimensional construct. However, the sub-dimensions of NFM have distinct implications: The reliance on peers and not seeking but feeling informed dimensions work in the same manner as when NFM is treated as a single-dimensional construct, whereas reliance on algorithmic news negatively predicts belief in misinformation and negatively mediates the aforementioned relationship. We also found the mediating role of exposure to misinformation in the relationship between social media use and false beliefs. Implications from these findings are discussed
Construct (python library · Coronavirus disease 2019 (COVID-19 · Feeling · Misinformation · Perception · Political science · Social media · Computer Science · Medicine · Misinformation and Its Impacts · Psychology · Public Relations and Crisis Communication · Social Media and Politics · Social Psychology
Susceptibility to digital health misinformation
News-Finds-Me Perception, Substance Use Misinformation Beliefs, and Nonmedical Prescription Drug Use
Predicting Health Misperceptions
(Fake) news-finds-me
Expressive citizenship
«I Feel Informed?»
From News Literacy to Skepticism
Multi-Platform Referrers of Misinformation
Everyday encounters with misinformation online
When We Think “News Will Find Me”
O engajamento dos jovens com notícias sobre alterações climáticas
The Dynamics of Misinformation Sharing
Understanding News Avoidance and “Snacking” of Climate Change News
Reluctant arbiters of truth
Learning about climate change with algorithmic news? A two-wave panel study examining the role of “news-finds-me” perception
Social (media) psychology of the “news-finds-me” perception
From Politics to Entertainment
Well-informed or misinformed? News-Finds-Me perception in shaping sexual and reproductive health knowledge and behavioral intentions among Chinese women
News Finds Me as the illusion of competence
Accidentally Informed
My Friends, Editors, Algorithms, and I
Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation
Partisan pandemic
Auditing radicalization pathways on YouTube
The Relative Importance of Social Media for Accessing, Finding, and Engaging with News
From “information” to “knowing”
Cutoff criteria for fit indexes in covariance structure analysis
Exposure to ideologically diverse news and opinion on Facebook
Effects of the news finds me perception on algorithmic news attitudes and social media political homophily
Why People Who Know Less Think They Know about Covid-19
Testing the cognitive involvement hypothesis on social media
Social media may hinder learning about science; social media's role in learning about Covid-19
It doesn’t take a village to fall for misinformation
Influence of News-Finds-Me Perception on accuracy, factuality and relevance assessment. Case study of news item on climate change
Fighting Covid-19 Misinformation on Social Media
The special taste of snack news
How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use
The Accuracy of Self-Reported Internet Use—A Validation Study Using Client Log Data
Twittering the News
Social Media News Use and Political Cynicism
Political News in the News Feed
Navigating the Coronavirus Infodemic
Probing the Mechanisms Through Which Social Media Erodes Political Knowledge
What’s This? Incidental Exposure to News on Social Media, News-Finds-Me Perception, News Efficacy, and News Consumption
Perceptions of mis- or disinformation exposure predict political cynicism
News finds me perception and democracy
Telling lies together? Sharing news as a form of social authentication
The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing
Effects of the News-Finds-Me Perception in Communication
What kind of news gatekeepers do we want machines to be? Filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations
What to Believe? Social Media Commentary and Belief in Misinformation
Filter Bubbles, Echo Chambers, and Online News Consumption
You can't not believe everything you read
Poisoning the information well
The Nature and Origins of Misperceptions
Principles and Practice of Structural Equation Modeling
Social Media and Fake News in the 2016 Election
Online Social Endorsement and Covid-19 Vaccine Hesitancy in the United Kingdom
Practical Issues in Structural Modeling
| Citations per year | 6.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |