Digital Deception and Inoculation: A Quantitative Study on Strategic Communication Tactics Against AI-Generated Images and the Role of Bullshit Receptivity
(2024) SKOM12 20241Department of Strategic Communication
- Abstract
- Digital Deception and Inoculation: A Quantitative Study on Strategic Communica-tion Tactics Against AI-Generated Images and the Role of Bullshit Receptivity
This thesis investigates the effectiveness of inoculation treatment using prebunking techniques to develop psychological defenses against believing syn-thetic images online. The study focuses on the influence of Bullshit Receptivity levels, specifically how they affect treatment outcomes. Bullshit Receptivity is assessed by the extent to which individuals attribute profoundness to nonsensical statements, a measure linked to increased reflexive thinking and susceptibility to misinformation as per the Dual-process theory.
The research was conducted through a randomized control... (More) - Digital Deception and Inoculation: A Quantitative Study on Strategic Communica-tion Tactics Against AI-Generated Images and the Role of Bullshit Receptivity
This thesis investigates the effectiveness of inoculation treatment using prebunking techniques to develop psychological defenses against believing syn-thetic images online. The study focuses on the influence of Bullshit Receptivity levels, specifically how they affect treatment outcomes. Bullshit Receptivity is assessed by the extent to which individuals attribute profoundness to nonsensical statements, a measure linked to increased reflexive thinking and susceptibility to misinformation as per the Dual-process theory.
The research was conducted through a randomized control trial where participants were divided into two groups: one received the inoculation treat-ment, and the other did not. Both groups were exposed to a mix of authentic and synthetic images, and their Bullshit Receptivity levels were evaluated. The study combined quantitative data from this trial with insights from existing research on misinformation, artificial intelligence, and digital media literacy.
The finding of this study reveals that while inoculation treatment effectively decreases the perceived credibility of synthetic images and increases the credibility of authentic images, it does not significantly alter the level of profoundness attributed to synthetic images. These results highlight the potential and limitations of prebunking techniques in combating digital misinformation. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9158287
- author
- Ansgariusson, Märta LU
- supervisor
- organization
- course
- SKOM12 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Inoculation theory, Bullshit Receptivity, Dual-process theory, AI-generated content, Misinformation, Strategic communication
- language
- English
- id
- 9158287
- date added to LUP
- 2024-06-14 16:12:38
- date last changed
- 2024-06-14 16:12:38
@misc{9158287,
abstract = {{Digital Deception and Inoculation: A Quantitative Study on Strategic Communica-tion Tactics Against AI-Generated Images and the Role of Bullshit Receptivity
This thesis investigates the effectiveness of inoculation treatment using prebunking techniques to develop psychological defenses against believing syn-thetic images online. The study focuses on the influence of Bullshit Receptivity levels, specifically how they affect treatment outcomes. Bullshit Receptivity is assessed by the extent to which individuals attribute profoundness to nonsensical statements, a measure linked to increased reflexive thinking and susceptibility to misinformation as per the Dual-process theory.
The research was conducted through a randomized control trial where participants were divided into two groups: one received the inoculation treat-ment, and the other did not. Both groups were exposed to a mix of authentic and synthetic images, and their Bullshit Receptivity levels were evaluated. The study combined quantitative data from this trial with insights from existing research on misinformation, artificial intelligence, and digital media literacy.
The finding of this study reveals that while inoculation treatment effectively decreases the perceived credibility of synthetic images and increases the credibility of authentic images, it does not significantly alter the level of profoundness attributed to synthetic images. These results highlight the potential and limitations of prebunking techniques in combating digital misinformation.}},
author = {{Ansgariusson, Märta}},
language = {{eng}},
note = {{Student Paper}},
title = {{Digital Deception and Inoculation: A Quantitative Study on Strategic Communication Tactics Against AI-Generated Images and the Role of Bullshit Receptivity}},
year = {{2024}},
}