论文标题
那条消息传播开来吗？探索性分析和情感分析到推文传播
That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets
论文作者
论文摘要
信息交流和消息传播已从传统媒体转移到社交媒体平台。 Twitter等平台上的消息已成为公司通信的默认模式，以替换更长的公开公告和更新。企业和组织增加了对Twitter与利益相关者建立联系的使用。结果，重要的是要通过Twitter了解成功的信息交换和消息扩散的关键驱动力。我们对超过一百万条推文的数据集进行了探索性分析，其中包括40,000多条推文，进一步过滤至18,000多个推文。我们确定了最受欢迎的信息，并分析了有关多个内源性维度在内的推文，包括内容，情感，动机和丰富性以及外源性维度，例如基本事件，社会学习和行动主义。我们发现了一些有趣的模式，并发现了新的见解，以帮助研究人员和从业者更好地了解流行病毒推文的行为。我们还进行了情感分析，并提出了一个早期阶段模型来解释推文表现。
Information exchange and message diffusion have moved from traditional media to social media platforms. Messages on platforms such as Twitter have become the default mode of company communications replacing lengthier public announcements and updates. Businesses and organizations have increased their use of Twitter to connect with stakeholders. As a result, it is important to understand the key drivers of successful information exchange and message diffusion via Twitter. We conducted an exploratory analysis on a dataset of over a million Tweets, comprising of over 40,000 lead Tweets, further filtered to over 18,000 Tweets. We identified the most popular messages, and analyzed the tweets on multiple endogenous dimensions including content, sentiment, motive and richness, and exogenous dimensions such as fundamental events, social learning, and activism. We found some interesting patterns and uncovered new insights to help researchers and practitioners better understand the behavior of popular viral tweets. We also performed sentiment analysis and present an early stage model to explain tweet performance.
