Electronic Simulation Interventions for Fake News
Researchers have been creating electronic simulations as means to train people to identify fake news. These are often presented in the form of games, and they simulate online platforms where misinformation and fake news are spread.
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Main Idea of "Truth and the dynamics of news diffusion on twitter"
non-probative photos
Deepfake Videos
Effects of COVID-19 Related Fake News on Behavioral Intentions
Research question of Anthony & Moulding's (2019) study "Breaking the news: Belief in fake news and conspiracist beliefs."
Fake News and Trust in Media/Government
Research question of "prevalence and predictors of fake news dissemination on fb" (Guess et al., 2019)
Fake-Quoting
Public concern about fake news
Emotion and Ability to Gauge Accuracy
Electronic Simulation Interventions for Fake News
Gender Differences in the Perception of Fake News
Factors Related to the Sharing of Fake News
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
Factors that Impact Fake News Detection
Satire
Attributions for fake news
Fake News in the Digital Age
Importance of Studying Fake News
Deliberative reasoning and fake news
Factors that impact belief in fake news
Overconfidence and Fake News
Factors that cause people to error when discerning between real and fake news
Classical reasoning and fake news
Analytic Thinking and Fake News
A writer for a satirical website publishes a humorous and clearly fabricated article claiming that a local mayor has replaced the city council with a team of trained squirrels to improve efficiency. The article's purpose is to poke fun at recent bureaucratic delays. A social media user, missing the satirical context, shares a screenshot of the headline, and it spreads rapidly, with many people believing it to be a genuine news report. Based on the definition of information created with the specific intent to mislead the public, which of the following best analyzes this situation?
Distinguishing Intent in False Information
A news report that contains several factual inaccuracies due to a journalist's rushed and sloppy fact-checking process is, by definition, an example of fake news.
Process of Inoculation
Inoculation with Political Topics
Boosting in reference to Inoculation Theory
Design of Experiment 1 Testing Longitudinal Effects of Inoculation Interventions
Design of Experiment 2 Testing Longitudinal Effects of Inoculation Interventions
Design of Experiment 3 Testing Longitudinal Effects of Inoculation Interventions
Electronic Simulation Interventions for Fake News
"Bad News" Game and the Inoculation Theory
Consensus Messaging and Inoculation Theory
Structural elements of Inoculation
Structures of Inoculation
Forms of Inoculation Messages
Types of Inoculation Messages
Effectiveness of Inoculation in Retraction
Effect of Inoculation with Source of Trustworthiness
Solution to Misinformation: Algorithmic
Solution to Misinformation: Corrective
Solution to Misinformation: Legislative
Pan, Liu and Fang's (2021) recommendations on how to fight the spread of health misinformation
Solution to Misinformation: Humor
Solution to Misinformation: Emotional Refutations
Solutions to Misinformation: Social Media Disclaimers
Addressing the Problem of Social Media Misinformation by Focusing on Social Media Companies' Business Practices
Electronic Simulation Interventions for Fake News
Political Misinformation Methods of Correction by Jennifer Jerit and Yangzi Zhao
Guideline Correction
Official Retraction (print)
Background Information: Negated Corrections and Misinformation
Solutions to Misinformation for Children
Warning-based Approaches
Social Media Companies and Misinformation
Solution to Misinformation: Accuracy Prompts
Conspiratorial Thinking