Third person effects of fake news: Fake news regulation and media literacy interventions

By S. Mo Jang, J. Kim. Computers in Human Behavior, 2018

340 citations recorded by the source corpus.

Subfields: Communication, Literature and Literary Theory, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/cf76929a2e99c5ce114909220851c5d0343993b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Amandeep Dhir
2. Shalini Talwar
3. María Celeste Wagner
4. Pablo Boczkowski
5. Mika Westerlund
6. Edson C. Tandoc
7. Nicholas A. Diakopoulos
8. Michael Koliska

In Literature and Literary Theory

1. Amandeep Dhir
2. Mika Westerlund
3. Shalini Talwar

In Sociology and Political Science

1. Shalini Talwar
2. Amandeep Dhir
3. María Celeste Wagner
4. Jari Tapani Salo
5. Pablo Boczkowski
6. Mika Westerlund
7. Puneet Kaur
8. Michele A. Willson

Citations in the corpus

• The Emergence of Deepfake Technology: A Review (2019, background): “Fake news refers to fictitious news style content that is fabricated to deceive the public (Aldwairi & Alwahedi, 2018; Jang & Kim, 2018).”
• Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis (2020, positive): “Endorsing the application of TPE to social media, recently, Jang and Kim (2018) used the theory for studying fake news and found a high perceptual corollary (TPP).”
• The Reception of Fake News: The Interpretations and Practices That Shape the Consumption of Perceived Misinformation (2019, background): “Another stream of research has tried to account for the variables that might explain fake news exposure as well as attitudes around fake news and media credibility (Choi and Kim 2017; Jang and Kim 2018; Kiousis 2001; Livio and Cohen 2018; Tandoc Jr. 2019).”