[1D4-OS-3c] ニュースメディアのデータサイエンス(3/3)

[1D4-OS-3c-01] Verifying the impact of user follower composition on the spreadability of SNS posts

〇Shogo Matsuno¹, Saeyor Santi¹, Takeshi Sakaki¹, Yasuhiro Hino¹ (1. Hottolink, Inc.)

Keywords:Twitter, Information diffusion

The impact of social media on the diffusion of information is becoming increasingly difficult to ignore in marketing communications and news dissemination. In particular, the diffusion of information through social media is said to play a major role in the spread of echo chambers and fake news. In this research, we would like to clarify what factors affect the scale of information diffusion on social media in corporate PR and news dissemination. In this paper, we define the characteristics of influencers as: 1) users who have many followers who spread their posts, and 2) users who post many tweets (≅. users who spread posts without hesitation), and examined the influence on post spread (retweet) using a social graph constructed from Twitter records. As a result, we found that the probability of a post being spread is higher for users with either of these characteristics than for randomly selected users. And in particular, the probability of a post being spread is highest for users with many followers who have a small number of followers/followers in their private graphs.