TY -的盟,倪AU -坎波,雪莱盟——Janz Kathleen F AU - Eckler彼佳盟——杨Jingzhen盟——Snetselaar琳达G盟——年青男子,塞PY - 2013 DA - 2013/11/20 TI -电子口碑在Twitter上的体育活动在美国:探索性Infodemiology研究乔- J地中海互联网Res SP - e261六世- 15 - 11千瓦——Twitter消息KW——社会营销KW - AB电动机活动背景:Twitter是一个广泛使用的社会媒体。然而,它在促进健康行为方面的应用还有待研究。目的:为了为设计健康营销干预措施以促进推特上的身体活动提供见解,本探索性信息流行病学研究应用社会认知理论和在线口碑传播路径模型,考察了在美国关于身体活动的个人推文中不同的电子口碑传播特征的分布。方法:这项研究使用113个关键词检索了2011年1月1日至3月31日之间发布的100万条关于美国体育活动的公开推文。根据随机数生成器生成的数字,我们随机选择了30,000条推文,并对其进行了排序。两名编码人员扫描了前16100条推文,得到了4672条(29.02%)他们都同意的关于身体活动的推文,这些推文都来自个人账户。最后,从4672条推文中随机抽取1500条(32.11%)进行进一步编码。在试验编码中(从最终的1500条tweet中分离出100条tweet),编码人员之间的可靠性得分达到了令人满意的水平后,2名编码人员分别编码了750条tweet。描述性分析、Mann-Whitney U检验和Fisher精确检验。结果:关于体育活动的推文以中性情绪为主(1270/1500,84.67%)。 Providing opinions or information regarding physical activity (1464/1500, 97.60%) and chatting about physical activity (1354/1500, 90.27%) were found to be popular on Twitter. Approximately 60% (905/1500, 60.33%) of the tweets demonstrated users’ past or current participation in physical activity or intentions to participate in physical activity. However, social support about physical activity was provided in less than 10% of the tweets (135/1500, 9.00%). Users with fewer people following their tweets (followers) (P=.02) and with fewer accounts that they followed (followings) (P=.04) were more likely to talk positively about physical activity on Twitter. People with more followers were more likely to post neutral tweets about physical activity (P=.04). People with more followings were more likely to forward tweets (P=.04). People with larger differences between number of followers and followings were more likely to mention companionship support for physical activity on Twitter (P=.04). Conclusions: Future health marketing interventions promoting physical activity should segment Twitter users based on their number of followers, followings, and gaps between the number of followers and followings. The innovative application of both marketing and public health theory to examine tweets about physical activity could be extended to other infodemiology or infoveillance studies on other health behaviors (eg, vaccinations). SN - 14388871 UR - //www.mybigtv.com/2013/11/e261/ UR - https://doi.org/10.2196/jmir.2870 UR - http://www.ncbi.nlm.nih.gov/pubmed/24257325 DO - 10.2196/jmir.2870 ID - info:doi/10.2196/jmir.2870 ER -
Baidu
map