Determinants of trust in AI-generated content

The exponential expansion of AI technologies has led to a new era in which information, both correct and misleading, is being automatically generated and used.Today, generative AI is used to create deepfakes and misleading text content in the form of AI-generated articles, social media posts, product descriptions, and emails.With misinformation comes the issue of trust.In this study, we reviewed the literature to identify the key factors that participate in explaining trust in AI-generated content and develop a research model.A survey was conducted to collect data that was used to test the model.The results indicate that AI technologies' design features, awareness of AI technologies' development and training, experience with AI, and social influence have a significant impact on trust in AI-generated information.However, the impact of personality traits was not significant.The practical and theoretical implications of the research are discussed.

Publication Details

Journal
Issues in Information Systems
Published
2025-01-01
DOI
https://doi.org/10.48009/4_iis_2025_106
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of trust in AI-generated content

Issues in Information Systems
Impact of AI and Big Data on Business and Society
article

Determinants of trust in AI-generated content

article en

Abstract

The exponential expansion of AI technologies has led to a new era in which information, both correct and misleading, is being automatically generated and used.Today, generative AI is used to create deepfakes and misleading text content in the form of AI-generated articles, social media posts, product descriptions, and emails.With misinformation comes the issue of trust.In this study, we reviewed the literature to identify the key factors that participate in explaining trust in AI-generated content and develop a research model.A survey was conducted to collect data that was used to test the model.The results indicate that AI technologies' design features, awareness of AI technologies' development and training, experience with AI, and social influence have a significant impact on trust in AI-generated information.However, the impact of personality traits was not significant.The practical and theoretical implications of the research are discussed.

Issues in Information Systems
Openalex Percentile: Top 71%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.