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首页> 外文期刊>International Journal of Interactive Communication Systems and Technologies >Studying Physical Activity Using Social Media: An Analysis of the Added Value of Run Keeper Tweets
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Studying Physical Activity Using Social Media: An Analysis of the Added Value of Run Keeper Tweets

机译：使用社交媒体研究体育活动：跑步者推文的附加值分析

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摘要

Smartphones and mobile fitness applications or apps have brought a new experience to physical activities such as running, walking, and cycling. Increased sharing of these activities by users of social networking sites affords the collection of large physical activity datasets. This study assesses to what extent raw data from mobile fitness applications (MFAs) posted on Twitter can be used for studying physical activity and what added value they can provide. A total of 22,258 tweets collected over a nine-month period using RunKeeper mobile fitness app were analyzed A quantitative analysis of the entire data set and a content analysis of a subset of 2,868 tweets were performed. The data from MFAs exchanged via Twitter provided rich information on various aspects of physical activity including timing and distance of runs, bicycle rides, and walks. Personal reflections shared by RunKeeper users contained additional details on how the activity was experienced. Although further research is needed to determine the representativeness and generalizability of such data, the results of this study may indicate an important direction for extending current methodological practices in physical activity research.
机译：智能手机和移动健身应用程序或应用程序为跑步，步行和骑自行车等身体活动带来了新的体验。社交网站用户越来越多地共享这些活动，从而可以收集大量的体育活动数据集。这项研究评估了Twitter上发布的移动健身应用程序（MFA）的原始数据可在多大程度上用于研究体育锻炼及其可提供的附加值。使用RunKeeper移动健身应用程序分析了在9个月期间内总共收集的22,258条推文。对整个数据集进行了定量分析，并对2,868条推文的子集进行了内容分析。通过推特交换的来自MFA的数据提供了有关体育活动各个方面的丰富信息，包括跑步的时间和距离，骑自行车和步行。 RunKeeper用户共享的个人想法包含有关活动体验的其他详细信息。尽管需要进一步的研究来确定此类数据的代表性和可推广性，但这项研究的结果可能为扩展当前体育活动研究中的方法学实践提供了重要的方向。

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