论文标题
在线自我披露对COVID-19大流行期间社交反馈的影响
Effects of Online Self-Disclosure on Social Feedback During the COVID-19 Pandemic
论文作者
论文摘要
我们调查在线自我披露之间的关系，并在COVID-19危机期间收到社会反馈。我们从R/covid19_support subreddit中抓取了2,399个帖子和29,851个相关评论，并手动从每个帖子中提取了细粒度的个人信息类别和社会支持类型。我们开发了基于BERT的合奏分类器，以自动确定用户评论中提供的支持类型。然后，我们分析了个人信息共享和帖子的局部，词汇和情感标记对获得支持和五种互动措施的影响（提交分数，评论数，唯一评论者的数量，评论的长度和情感）。我们的发现表明：1）在寻求信息和情感支持时，用户更有可能分享其年龄，教育和位置信息，而不是追求任何一个； 2）虽然个人信息共享与在要求获得信息支持的正相关，但它与情感支持无关； 3）随着自我披露程度的增加，信息支持者获得了更高的提交分数和更长的评论，而情绪支持寻求者的自我披露会导致提交分数较低，评论较少，而独特的评论者较少； 4）影响社会反馈的后特征根据邮政作者寻求的支持类型而显着差异。这些结果提供了经验证据，证明了自我披露对在COVID-19大流行期间在线获得所需的支持和用户参与的影响。此外，这项工作可以帮助希望提高和优先考虑特定类型的社会反馈的寻求者。
We investigate relationships between online self-disclosure and received social feedback during the COVID-19 crisis. We crawl a total of 2,399 posts and 29,851 associated comments from the r/COVID19_support subreddit and manually extract fine-grained personal information categories and types of social support sought from each post. We develop a BERT-based ensemble classifier to automatically identify types of support offered in users' comments. We then analyze the effect of personal information sharing and posts' topical, lexical, and sentiment markers on the acquisition of support and five interaction measures (submission scores, the number of comments, the number of unique commenters, the length and sentiments of comments). Our findings show that: 1) users were more likely to share their age, education, and location information when seeking both informational and emotional support, as opposed to pursuing either one; 2) while personal information sharing was positively correlated with receiving informational support when requested, it did not correlate with emotional support; 3) as the degree of self-disclosure increased, information support seekers obtained higher submission scores and longer comments, whereas emotional support seekers' self-disclosure resulted in lower submission scores, fewer comments, and fewer unique commenters; 4) post characteristics affecting social feedback differed significantly based on types of support sought by post authors. These results provide empirical evidence for the varying effects of self-disclosure on acquiring desired support and user involvement online during the COVID-19 pandemic. Furthermore, this work can assist support seekers hoping to enhance and prioritize specific types of social feedback.
