论文标题
采矿有影响力及其在Twitter活动中的机器人活动
Mining Influentials and their Bot Activities on Twitter Campaigns
论文作者
论文摘要
Twitter越来越多地用于政治，广告和营销活动，主要目的是影响用户支持特定原因，个人或团体。我们提出了一种用于采矿和分析Twitter广告系列的新方法，其中包括：（i）收集推文并检测与广告系列有关的主题； （ii）使用科学计量学措施采矿重要的竞选主题； （iii）使用主题标签和局部熵对用户兴趣进行建模； （iv）使用适应的Pagerank分数识别有影响力的用户； （v）各种指标和可视化技术，用于识别类似机器人的活动。尽管该方法可以推广到多种竞选类型，但我们证明了其对2017年德国联邦大选的有效性。
Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We propose a novel methodology for mining and analyzing Twitter campaigns, which includes: (i) collecting tweets and detecting topics relating to a campaign; (ii) mining important campaign topics using scientometrics measures; (iii) modelling user interests using hashtags and topical entropy; (iv) identifying influential users using an adapted PageRank score; and (v) various metrics and visualization techniques for identifying bot-like activities. While this methodology is generalizable to multiple campaign types, we demonstrate its effectiveness on the 2017 German federal election.
