research-article

Propagator or Influencer?: A Data-driven Approach for Evaluating Emotional Effect in Online Information Diffusion

Authors:

Jun LiAuthors Info & Claims

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

Pages 836 - 843

https://doi.org/10.1145/3110025.3116192

Published: 31 July 2017 Publication History

Abstract

Reposting is the basic and key behavior for information diffusion in online social networks. It would be beneficial to understand the influence factors of reposting behavior and predict future reposting status, which could be practically applied in breaking news detection, marketing, social media researches and so on. Existing reposting analytics and prediction approaches mainly focus on factors related to the original information content and the social influence of the information publishers. However, online information diffuses by viral cascades instead of single-source broadcast in social network, which means some reposting behavior actually occurs in information propagators rather than the original publishers. In some social networks, users are allowed to comment when they repost, which represents their views and attitudes to the information they propagate. In this paper, we evaluate how emotional tendencies of information propagators influence future reposting. We first propose a modified sentiment analysis method and present emotional analysis on the user-generated content in online diffusion. Experiments are conducted with a real-world dataset and the results indicate the effectiveness of our fine-grained emotional features in reposting prediction.

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Cited By

Skenduli MBiba MLoglisci CCeci MMalerba D(2021)Mining emotion-aware sequential rules at user-level from micro-blogsJournal of Intelligent Information Systems10.1007/s10844-021-00647-8Online publication date: 22-Jun-2021
https://doi.org/10.1007/s10844-021-00647-8
Yang JZhou NLi YXue XDong YXue YLi J(2018)Poster abstract: Homophily and controversy: On the role of public opinion in online viral diffusionIEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2018.8406917(1-2)Online publication date: Apr-2018
https://doi.org/10.1109/INFCOMW.2018.8406917
Yang JZhou NLi YXue XDong YXue YLi J(2018)Opinion-based Analysis of Structural Patterns in Online Viral Diffusion2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)10.1109/ICACCE.2018.8441664(284-289)Online publication date: Jun-2018
https://doi.org/10.1109/ICACCE.2018.8441664

Propagator or Influencer?: A Data-driven Approach for Evaluating Emotional Effect in Online Information Diffusion
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information retrieval
  2. Information systems applications

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cover image ACM Conferences

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

July 2017

698 pages

ISBN:9781450349932

DOI:10.1145/3110025

Copyright © 2017 ACM.

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Published: 31 July 2017

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ASONAM '17: Advances in Social Networks Analysis and Mining 2017

July 31 - August 3, 2017

Sydney, Australia

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Cited By

Skenduli MBiba MLoglisci CCeci MMalerba D(2021)Mining emotion-aware sequential rules at user-level from micro-blogsJournal of Intelligent Information Systems10.1007/s10844-021-00647-8Online publication date: 22-Jun-2021
https://doi.org/10.1007/s10844-021-00647-8
Yang JZhou NLi YXue XDong YXue YLi J(2018)Poster abstract: Homophily and controversy: On the role of public opinion in online viral diffusionIEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2018.8406917(1-2)Online publication date: Apr-2018
https://doi.org/10.1109/INFCOMW.2018.8406917
Yang JZhou NLi YXue XDong YXue YLi J(2018)Opinion-based Analysis of Structural Patterns in Online Viral Diffusion2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)10.1109/ICACCE.2018.8441664(284-289)Online publication date: Jun-2018
https://doi.org/10.1109/ICACCE.2018.8441664

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