在社交媒体时代为老年人代言:在 Twitter 上实现高峰参与的策略》。

IF 5 Q1 GERIATRICS & GERONTOLOGY JMIR Aging Pub Date : 2024-05-01 DOI:10.2196/49608
Reuben Ng, Nicole Indran, Luyao Liu
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引用次数: 0

摘要

背景:在过去的十年中,许多致力于满足老年人需求和利益的组织都转向了社交媒体平台,如 Twitter(后来改名为 X),以提高与老年人相关问题的可见度。然而,尽管这些组织的数字影响力和参与度不断提高,但人们却很少关注这些倡导组织对社交媒体的使用。要实现政策变革,宣传组织必须首先能够吸引和动员受众:我们的研究旨在阐明不同的推文特征如何影响年龄倡导组织上传的帖子达到最高参与度所需的时间:我们整理了 53 个老年倡导组织在 12 年内发布的 204905 条推文。每条推文的参与度得分都是通过综合考虑赞、转发、引用推文和回复等既定指标计算得出的。我们运行了以推文特征为预测因子、以参与度峰值时间为结果的 Cox 模型。"参与度峰值"(事件)是指参与度得分超过第 75 百分位数,"时间 "是指每条推文达到参与度峰值所需的月份:大约每 2 条推文中就有 1 条(n=103,068,50.3%)没有标签或只有 1 个标签。约三分之二的推文(n=131,220,64%)包含 URL。视觉信息的使用率很低,大多数推文不包括 GIF(n=204,202,99.7%)、视频(n=199,800,97.5%)或照片(n=143,844,70.2%)。大约一半(n=101,470,49.5%)的推文包含提及,9.3%(n=19,009)的推文是回复。只有 4.5% 的推文(n=9285)是引用推文。大多数推文是在下午上传的(n=86,004,42%),并且是在工作日上传的(n=180,499,88.1%)。正如假设的那样,与参与峰值相关的特征是包含照片等视觉元素,这使参与峰值增加了 3 倍(PConclusions:社交媒体作为一个网络平台,具有在全球范围内以指数级速度接触用户的潜力。我们的研究发现了推特上更有可能达到最高参与度的特征,这对倡导老年人权益的组织来说是一个宝贵的资源,有助于他们创建一个更加包容老年人的世界。
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Advocating for Older Adults in the Age of Social Media: Strategies to Achieve Peak Engagement on Twitter.

Background: Over the last decade, many organizations dedicated to serving the needs and interests of older adults have turned to social media platforms, such as Twitter, subsequently rebranded X, to improve the visibility of age-related issues. However, notwithstanding their growing digital presence and participation, minimal attention has been paid to the use of social media among these advocacy groups. To achieve policy change, advocacy organizations must first be able to engage and mobilize audiences.

Objective: Our study aims to elucidate how different tweet features affect the time it takes for posts uploaded by age advocacy organizations to reach peak engagement.

Methods: We collated 204,905 tweets from 53 age advocacy organizations posted over a 12-year period. The engagement score of each tweet was calculated by combining well-established metrics, namely likes, retweets, quote tweets, and replies. We ran Cox models with tweet features as predictors and time-to-peak engagement as the outcome. "Peak engagement" (event) refers to engagement scores above the 75th percentile, and "time" refers to months taken to reach peak engagement per tweet.

Results: Approximately 1 in 2 tweets (n=103,068, 50.3%) had either no hashtags or just 1 hashtag. Around two-thirds (n=131,220, 64%) of the tweets included a URL. Visual information was highly underused, with most tweets not including GIFs (n=204,202, 99.7%), videos (n=199,800, 97.5%), or photos (n=143,844, 70.2%). Roughly half (n=101,470, 49.5%) of the tweets contained mentions and 9.3% (n=19,009) of tweets were replies. Only 4.5% (n=9285) of tweets were quote tweets. Most tweets were uploaded in the afternoon (n=86,004, 42%) and on a weekday (n=180,499, 88.1%). As hypothesized, features associated with peak engagement were the inclusion of visual elements like photos, which increased peak engagement by 3 times (P<.001), and the use of 3 or more hashtags (P<.001). Quote tweets increased engagement by 3 times (P<.001), as compared to regular tweets, controlling for account-level covariates. Tweets from organizations with a higher tweet volume were 40% less likely to reach peak engagement (P<.001).

Conclusions: Social media as a networked platform has the potential to reach users on a global scale and at an exponential speed. Having uncovered the features that are more likely to reach peak engagement on Twitter, our study serves as an invaluable resource for age advocacy organizations in their movement to create a more age-inclusive world.

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
期刊最新文献
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