Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention

Yuki Iwasaki, Ryohei Orihara, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga

2014

Abstract

Nowadays, anybody can easily express their opinion publicly through Consumer Generated Media. Because of this, a phenomenon of flooding criticism on the Internet, called flaming, frequently occurs. Although there are strong demands for flaming management, a service to reduce damage caused by a flaming after one occurs, it is very difficult to properly do so in practice. We are trying to keep the flaming from happening. Concretely, we propose methods to identify a potential tweet which will be a likely candidate of a flaming on Twitter, considering public opinion among twitter users. We divide flamings into three categories: criminal episodes, struggles between conflicting values and secret exposures. The first two represent the vast majority of flaming cases. As for the CEs, a Naïve Bayes-based method has been promising to identify the cases. As for the SBCVs, we propose a dynamic P/N analysis based on daily polarity, which represents the strength of the polarity of public opinion on a given topic. An experiment using a past flaming case has shown that the method has successfully explained the case as one caused by a gap between the polarity of the tweet and that of public opinion.

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Paper Citation


in Harvard Style

Iwasaki Y., Orihara R., Sei Y., Nakagawa H., Tahara Y. and Ohsuga A. (2014). Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 639-644. DOI: 10.5220/0004916606390644


in Bibtex Style

@conference{icaart14,
author={Yuki Iwasaki and Ryohei Orihara and Yuichi Sei and Hiroyuki Nakagawa and Yasuyuki Tahara and Akihiko Ohsuga},
title={Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={639-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004916606390644},
isbn={978-989-758-015-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention
SN - 978-989-758-015-4
AU - Iwasaki Y.
AU - Orihara R.
AU - Sei Y.
AU - Nakagawa H.
AU - Tahara Y.
AU - Ohsuga A.
PY - 2014
SP - 639
EP - 644
DO - 10.5220/0004916606390644