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引入识别欺诈性回复的新方法(西西弗斯抽样法):基于网络的LGBTQ2S+混合方法研究

Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods Study.

作者信息

MacKinnon Kinnon Ross, Khan Naail, Newman Katherine M, Gould Wren Ariel, Marshall Gin, Salway Travis, Pullen Sansfaçon Annie, Kia Hannah, Lam June Sh

机构信息

School of Social Work, York University, Toronto, ON, Canada.

Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

出版信息

J Med Internet Res. 2025 Mar 17;27:e63252. doi: 10.2196/63252.

Abstract

BACKGROUND

The myth of Sisyphus teaches about resilience in the face of life challenges. Detransition after an initial gender transition is an emerging experience that requires sensitive and community-driven research. However, there are significant complexities and costs that researchers must confront to collect reliable data to better understand this phenomenon, including the lack of a uniform definition and challenges with recruitment.

OBJECTIVE

This paper presents the sampling and recruitment methods of a new study on detransition-related phenomena among lesbian, gay, bisexual, transgender, queer, and 2-spirit (LGBTQ2S+) populations. It introduces a novel protocol for identifying and removing bot, scam, and ineligible responses from survey datasets and presents preliminary descriptive sociodemographic results of the sample. This analysis does not present gender-affirming health care outcomes.

METHODS

To attract a large and heterogeneous sample, 3 different study flyers were created in English, French, and Spanish. Between December 1, 2023, and May 1, 2024, these flyers were distributed to >615 sexual and gender minority organizations and gender care providers in the United States and Canada, and paid advertisements totaling >CAD $7400 (US $5551) were promoted on 5 different social media platforms. Although many social media promotions were rejected or removed, the advertisements reached >7.7 million accounts. Study website visitors were directed from 35 different traffic sources, with the top 5 being Facebook (3,577,520/7,777,218, 46%), direct link (2,255,393/7,777,218, 29%), Reddit (1,011,038/7,777,218, 13%), Instagram (466,633/7,777,218, 6%), and X (formerly known as Twitter; 233,317/7,777,218, 3%). A systematic protocol was developed to identify scam, nonsense, and ineligible responses and to conduct web-based Zoom video platform screening with select participants.

RESULTS

Of the 1377 completed survey responses, 957 (69.5%) were deemed eligible and included in the analytic dataset after applying the exclusion protocol and conducting 113 virtual screenings. The mean age of the sample was 25.87 (SD 7.77; median 24, IQR 21-29 years). A majority of the participants were White (Canadian, American, or of European descent; 748/950, 78.7%), living in the United States (704/957, 73.6%), and assigned female at birth (754/953, 79.1%). Many participants reported having a sexual minority identity, with more than half the sample (543/955, 56.8%) indicating plurisexual orientations, such as bisexual or pansexual identities. A minority of participants (108/955, 11.3%) identified as straight or heterosexual. When asked about their gender-diverse identities after stopping or reversing gender transition, 33.2% (318/957) reported being nonbinary, 43.2% (413/957) transgender, and 40.5% (388/957) identified as detransitioned.

CONCLUSIONS

Despite challenges encountered during the study promotion and data collection phases, a heterogeneous sample of >950 eligible participants was obtained, presenting opportunities for future analyses to better understand these LGBTQ2S+ experiences. This study is among the first to introduce an innovative strategy to sample a hard-to-reach and equity-deserving group, and to present an approach to remove fraudulent responses.

摘要

背景

西西弗斯的神话讲述了面对生活挑战时的韧性。在最初的性别转换后又变回原性别是一种新出现的现象,需要进行敏感且由社区推动的研究。然而,研究人员要收集可靠数据以更好地理解这一现象,必须面对重大的复杂性和成本,包括缺乏统一的定义以及招募方面的挑战。

目的

本文介绍了一项关于女同性恋、男同性恋、双性恋、跨性别者、酷儿和双灵人群(LGBTQ2S+)中与变回原性别相关现象的新研究的抽样和招募方法。它引入了一种新颖的协议,用于识别和从调查数据集中去除机器人回复、诈骗回复和不合格回复,并展示了样本的初步描述性社会人口统计学结果。本分析未呈现性别肯定性医疗保健结果。

方法

为吸引大量且多样化的样本,制作了3种不同语言(英语、法语和西班牙语)的研究传单。在2023年12月1日至2024年5月1日期间,这些传单被分发给美国和加拿大的615多个性少数群体组织和性别护理提供者,并且在5个不同的社交媒体平台上投放了总计超过7400加元(5551美元)的付费广告。尽管许多社交媒体推广被拒绝或移除,但这些广告覆盖了超过770万个账户。研究网站的访问者来自35个不同的流量来源,其中前5个是Facebook(3577520/7777218,46%)、直接链接(2255393/7777218,29%)、Reddit(1011038/7777218,13%)、Instagram(466633/7777218,6%)和X(原推特;233317/7777218,3%)。制定了一个系统协议,以识别诈骗、无意义和不合格回复,并与选定的参与者在基于网络的Zoom视频平台上进行筛选。

结果

在1377份完成的调查问卷回复中,957份(69.5%)在应用排除协议并进行113次虚拟筛选后被视为合格并纳入分析数据集。样本的平均年龄为25.87岁(标准差7.77;中位数24岁,四分位距21 - 29岁)。大多数参与者是白人(加拿大、美国或欧洲血统;748/950,78.7%),居住在美国(704/957,73.6%),并且出生时被指定为女性(754/953,79.1%)。许多参与者报告有性少数群体身份,超过一半的样本(543/955,56.8%)表示有多元性取向,如双性恋或泛性恋身份。少数参与者(108/955,11.3%)认定为异性恋。当被问及在停止或逆转性别转换后的性别多样化身份时,33.2%(318/957)报告为非二元性别,43.2%(413/957)为跨性别者,40.5%(388/957)认定为变回原性别者。

结论

尽管在研究推广和数据收集阶段遇到了挑战,但仍获得了950多名合格参与者的多样化样本,为未来分析以更好地理解这些LGBTQ2S+经历提供了机会。本研究是首批引入创新策略来对难以接触且应得公平对待的群体进行抽样,并提出去除欺诈性回复方法的研究之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c38a/11959198/5f826913c6ce/jmir_v27i1e63252_fig1.jpg

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