Impact of Artificial Intelligence–Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment

可靠性 误传 计算机科学 心理学 应用心理学 人工智能 计算机安全 政治学 法学
作者
Fan Li,Ya Yang
出处
期刊:JMIR formative research [JMIR Publications Inc.]
卷期号:8: e60024-e60024 被引量:1
标识
DOI:10.2196/60024
摘要

Background The proliferation of generative artificial intelligence (AI), such as ChatGPT, has added complexity and richness to the virtual environment by increasing the presence of AI-generated content (AIGC). Although social media platforms such as TikTok have begun labeling AIGC to facilitate the ability for users to distinguish it from human-generated content, little research has been performed to examine the effect of these AIGC labels. Objective This study investigated the impact of AIGC labels on perceived accuracy, message credibility, and sharing intention for misinformation through a web-based experimental design, aiming to refine the strategic application of AIGC labels. Methods The study conducted a 2×2×2 mixed experimental design, using the AIGC labels (presence vs absence) as the between-subjects factor and information type (accurate vs inaccurate) and content category (for-profit vs not-for-profit) as within-subjects factors. Participants, recruited via the Credamo platform, were randomly assigned to either an experimental group (with labels) or a control group (without labels). Each participant evaluated 4 sets of content, providing feedback on perceived accuracy, message credibility, and sharing intention for misinformation. Statistical analyses were performed using SPSS version 29 and included repeated-measures ANOVA and simple effects analysis, with significance set at P<.05. Results As of April 2024, this study recruited a total of 957 participants, and after screening, 400 participants each were allocated to the experimental and control groups. The main effects of AIGC labels were not significant for perceived accuracy, message credibility, or sharing intention. However, the main effects of information type were significant for all 3 dependent variables (P<.001), as were the effects of content category (P<.001). There were significant differences in interaction effects among the 3 variables. For perceived accuracy, the interaction between information type and content category was significant (P=.005). For message credibility, the interaction between information type and content category was significant (P<.001). Regarding sharing intention, both the interaction between information type and content category (P<.001) and the interaction between information type and AIGC labels (P=.008) were significant. Conclusions This study found that AIGC labels minimally affect perceived accuracy, message credibility, or sharing intention but help distinguish AIGC from human-generated content. The labels do not negatively impact users’ perceptions of platform content, indicating their potential for fact-checking and governance. However, AIGC labeling applications should vary by information type; they can slightly enhance sharing intention and perceived accuracy for misinformation. This highlights the need for more nuanced strategies for AIGC labels, necessitating further research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
耶路生完成签到,获得积分10
1秒前
hyl发布了新的文献求助10
1秒前
2秒前
小猴子完成签到,获得积分20
3秒前
lilililininini完成签到,获得积分20
3秒前
5秒前
6秒前
Ceka完成签到,获得积分10
7秒前
8秒前
8秒前
hyl完成签到,获得积分10
9秒前
积极的初南完成签到,获得积分10
10秒前
Livrik发布了新的文献求助10
11秒前
小小完成签到 ,获得积分10
11秒前
笨笨山芙发布了新的文献求助10
12秒前
13秒前
13秒前
14秒前
14秒前
15秒前
16秒前
量子星尘发布了新的文献求助10
17秒前
Livrik完成签到,获得积分10
17秒前
小猴子关注了科研通微信公众号
17秒前
阿Q完成签到,获得积分10
18秒前
yujd完成签到,获得积分10
18秒前
鹿仪发布了新的文献求助10
18秒前
18秒前
18秒前
Orange应助好宝宝采纳,获得10
20秒前
20秒前
GL发布了新的文献求助10
21秒前
21秒前
李健应助年轻的烨华采纳,获得10
23秒前
Jasper应助zhugepengju采纳,获得10
23秒前
24秒前
酢浆草小熊完成签到 ,获得积分10
24秒前
沈昊泽完成签到,获得积分10
27秒前
陈浩发布了新的文献求助10
27秒前
28秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988868
求助须知:如何正确求助?哪些是违规求助? 3531255
关于积分的说明 11253071
捐赠科研通 3269858
什么是DOI,文献DOI怎么找? 1804822
邀请新用户注册赠送积分活动 881994
科研通“疑难数据库(出版商)”最低求助积分说明 809035