Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Poznań, Poland.
Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Poznań, Poland.
Nutrition. 2024 Sep;125:112497. doi: 10.1016/j.nut.2024.112497. Epub 2024 May 7.
We aimed to analyze reactions to tweets that employed weight-based discrimination terms and to compare them to others posted by the same users on X (formerly Twitter).
We collected tweets featuring weight-based discrimination terms (the study group) and created a control group by randomly selecting up to five tweets from each account that did not mention any such terms. Descriptive statistics, sentiment analysis, and logistic regression modeling were used to compare the numbers of likes and retweets of the study and control groups, and to understand the emotions associated with these tweets.
Our analysis included 22,075 study group tweets and 50,341 control group tweets. Sentiment analysis was conducted on 41,403 (57.2%) tweets, with 65.7% of the study group tweets being found to contain negative sentiments. The study group had a higher median of likes (1 [0-4]) and retweets (0 [0-0]) than the control group (1 [0-2] and 0 [0-0], respectively, with the study group obtaining higher mean ranks in both comparisons, P < 0.001). Multivariable logistic regression analysis revealed that tweets using weight-based discrimination terms gained more likes (OR = 1.22; 95% CI: 1.16-1.28) and retweets (OR = 1.61; 95% CI: 1.49-1.74), independent of, for example, verification status, follower count, year and season of the tweet, and emotional expression of the tweet.
Tweets concerning fatphobia, body shaming, and similar terms gain more reactions than others posted by the same accounts.
我们旨在分析使用体重歧视术语的推文的反应，并将其与同一用户在 X（前 Twitter）上发布的其他推文进行比较。
我们收集了包含体重歧视术语的推文（研究组），并通过从每个账户中随机选择最多五条未提及任何此类术语的推文，创建了一个对照组。我们使用描述性统计、情感分析和逻辑回归模型来比较研究组和对照组的点赞和转发数量，并了解这些推文所关联的情绪。
我们的分析包括 22075 条研究组推文和 50341 条对照组推文。对 41403 条（57.2%）推文进行了情感分析，其中 65.7%的研究组推文被发现包含负面情绪。研究组的点赞中位数（1[0-4]）和转发中位数（0[0-0]）均高于对照组（1[0-2]和 0[0-0]），且在这两项比较中，研究组的平均秩次均更高，P<0.001）。多变量逻辑回归分析表明，使用体重歧视术语的推文获得了更多的点赞（OR=1.22；95%CI：1.16-1.28）和转发（OR=1.61；95%CI：1.49-1.74），独立于验证状态、关注者数量、推文发布的年份和季节以及推文的情感表达等因素。
涉及肥胖恐惧症、身体羞辱和类似术语的推文比同一账户发布的其他推文获得更多的回应。
