Negriff Sonya
Kaiser Permanente Southern California, 100 S Los Robles Ave, Pasadena, Ca 91101.
Child Youth Serv Rev. 2020 Feb;109. doi: 10.1016/j.childyouth.2019.104700. Epub 2019 Dec 21.
The current study examined the size and connectedness of egocentric Facebook networks as predictors of exposure to risky content among a sample of maltreated and comparison youth (=118). Social network measures (i.e., size, density, average degree, percent of isolates) were computed from the mutual friend list. A content analysis of posts by friends captured references to alcohol use, marijuana use, partying, and sexual content. Multiple-group path models showed that the larger size of the Facebook network and higher average degree predicted references to marijuana use only for comparison youth, whereas for maltreated youth a higher percent of isolates predicted more references to sexual content by Facebook friends. Structural measures of online networks may have potential utility for identifying those at risk.
本研究调查了以自我为中心的脸书社交网络的规模和连通性，以此作为受虐待青少年和对照青少年样本（=118）接触风险内容的预测指标。社交网络指标（即规模、密度、平均度数、孤立个体百分比）通过共同好友列表计算得出。对好友发布内容的分析捕捉到了与饮酒、吸食大麻、参加派对和性内容相关的表述。多组路径模型显示，脸书社交网络规模越大、平均度数越高，仅能预测对照青少年提及吸食大麻的情况，而对于受虐待青少年，孤立个体百分比越高则预示着脸书好友提及性内容的情况越多。在线社交网络的结构指标可能在识别风险人群方面具有潜在效用。
