Analyzing-the-Spread-of-Online-Media

所属分类:collect
开发工具:Python
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上传日期:2024-04-05 04:38:19
上 传 者sh-1993
说明:  关于X(以前的Twitter)上在线媒体传播的研究。我们能否观察到假新闻和真实新闻传播的差异传播假新闻的用户获得更多的追随者真文章比假文章更受欢迎。此外,将制作一个神经网络,根据文章的内容来预测文章的多样性。
(Research on the spread of online media on X (formerly Twitter). Can we observe differences in the spread of fake and real news Do users who spread fake real news gain more of a following Are real articles more popular than fake ones Along with this, a neural network will be made to predict varality of an article based on its content.)

文件列表:
interpreting-raw-files/
raw-files/
visualization/
rich_terminal.py

# Analyzing-the-Spread-of-Online-Media

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