• DocumentCode
    3585337
  • Title

    Community Sentiment on Environmental Topics in Social Networks

  • Author

    Sluban, Borut ; Smailovic, Jasmina ; Juric, Matja ; Mozetic, Igor ; Battiston, Stefano

  • Author_Institution
    Dept. of Knowledge Technol., Jozef Stefan Inst., Ljubljana, Slovenia
  • fYear
    2014
  • Firstpage
    376
  • Lastpage
    382
  • Abstract
    We monitor social media, Twitter in particular, on a broad range of environmental issues such as climate change, green energy, sustainable development, climate policy targets. We analyze the social network of retweets about specific issues and we identify the influential users. We then characterize influential communities based on the prevalence of discussion topics in the tweet texts. As a novel and important aspect of our research, we also classify communities based on the prevalent sentiment with respect to the various discussion topics. We find differences among the major communities in their sentiment leanings towards various environmental issues.
  • Keywords
    environmental factors; social networking (online); sustainable development; Twitter; climate change; climate policy targets; community sentiment; environmental issues; environmental topics; green energy; social media; social networks; sustainable development; tweet texts; Communities; Sentiment analysis; Standards; Support vector machines; Text mining; Training; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on
  • Type

    conf

  • DOI
    10.1109/SITIS.2014.27
  • Filename
    7081573