Analysis of the political viewpoint of policy statements from professional medical organizations using ChatGPT 4.0 (Preprint)

Author:

Knudsen BenORCID,Madkour Amr,Cholli Preetam,Haslam Alyson,Prasad Vinay

Abstract

BACKGROUND

Professional medical organizations publish policy statements that are used to impact legislation or address societal issues. Many organizations are nonpartisan, yet it is uncertain whether their policy statements balance liberal and conservative values. We determined the political viewpoint (liberal vs conservative) of policy statements from six organizations: American Academy of Pediatrics (AAP), American College of Surgeons (ACS), American Psychiatric Association (APA), American College of Obstetricians and Gynecologists (ACOG), American College of Physicians (ACP), and American Academy of Family Physicians (AAFP).

OBJECTIVE

To evaluate the political alignment of policy statements from six influential medical organizations including: AAP, ACS, APA, ACOG, ACP, AAFP.

METHODS

Between 12/2023 – 2/2024, policy statements from the six organizations were identified and evaluated using ChatGPT 4.0, to remove bias. Each statement was pasted into a new ChatGPT session following the phrase, “Does this text align with a liberal or conservative viewpoint?” Two authors reviewed each response and categorized the statement as: liberal; probably liberal (PL); neutral; probably conservative (PC); conservative.

RESULTS

One third of policy statements were found to be aligned with a political ideology (529/1592). Among these, 516 (98%) were liberal or PL and 13 (2%) were conservative or PC. For each organization, among policy statements with a political leaning, the percentage of liberal or PL statements was: 100% – AAP; 100% – ACOG; 100% – ACS; 99% – APA; 97% – AAFP; 96% – ACP.

CONCLUSIONS

One in three policy statements from these six professional organizations are politically partisan. Among these, positions are 40-times more likely to be liberal or PL than conservative or PC. Whether or not organizations are politically neutral and seek viewpoint diversity warrants further exploration.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3