在Twitter上描述精准营养话语:定量内容分析
Sapna Batheja1, Emma M Schopp2, Samantha Pappas1
1Department of Nutrition and Food Studies, George Mason University, Fairfax, VA, United States.
Journal of medical Internet research
|October 12, 2023
概括
推特上的个性化营养通常包含医学作和错误信息. 随着精准营养的发展,专家应该分享可信的建议,以打击虚假信息.
科学领域:
- 营养科学 营养科学
- 基因组学就是基因组学.
- 社交媒体分析 社交媒体分析
背景情况:
- 基于基因组资料的个性化营养承诺最佳健康,但缺乏广泛的科学准备.
- 个性化营养产品的普及,在像Twitter这样的社交媒体平台上造成了错误信息的风险.
研究的目的:
- 在Twitter上分析与精密营养相关的内容.
- 专注于营养遗传学和营养基因组学,检查推特作者,内容类型和错误信息.
主要方法:
- 收集了2020年9月1日至12月1日使用关键词与营养和遗传学相关的推特.
- 在随机抽样推特上使用定量内容分析来编码作者专业知识,内容,信息质量和参与度.
主要成果:
- 精准营养产品和营养基因组概念主导了推特类别.
- 14.9%的推文包含不真实的信息,特别是在营养基因组学概念中.
- 虽然一些专家分享了营养遗传学内容,但错误信息在非专家对基因重量影响的推特中更为普遍.
结论:
- 关于精密营养的Twitter话语显示出医学作和频繁的错误信息的指标.
- 一部分科学和医学专家积极讨论这些话题.
- 鼓励专家参与是传播可信的建议和打击精密营养错误信息的关键.
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