Internal/External information access and information diffusion in social media

Xia, Tian; Yu, Xing; Gao, Zheng; Gu, Yijun; Liu, Xiaozhong

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https://hdl.handle.net/2142/98867 Copy

Description

Title

Internal/External information access and information diffusion in social media

Author(s)

• Xia, Tian
• Yu, Xing
• Gao, Zheng
• Gu, Yijun
• Liu, Xiaozhong

Issue Date

2017

Keyword(s)

• Social media
• Information adoption
• Information diffusion
• Information access
• Weibo

Abstract

As social media platform not only provide infrastructure but also actively perform algorithmic curation for profit and user experience, it leads to an information filter bubble phenomenon: users are trapped in their own personalized bubble and are exposed only to the opinions that conform their beliefs and interests, thus potentially creating social polarization and information islands. However, filter bubbles hardly restrict all the users in a large social network, some information explorers can break the bubble and bring external global knowledge back to the internal network. In this paper, we investigate this assumption via hashtag adoption prediction. First, we construct a heterogeneous graph and extract 17 features to describe the event of hashtag adoption. Then, we generate learning instances and train a lasso regression model to do prediction. Preliminary results show that information explorers are more likely to adopt new hashtags than others, thereby more internal and external information can be diffused via these special users.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings Vol. 2

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/98867

Copyright and License Information

Copyright 2017 is held by the authors.

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