Presentation 2020-02-16
Trend analysis of media company SNS account based on user reaction time
Takeshi Sakaki, Fujio Toriumi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, due to the spread of web and SNS, various problems related to information diffusion such as the spread of fake news and the occurrence of echo chambers have become apparent. Under these circumstances, techniques to evaluate the reliability and bias of information and information sources have been being developed. In this study, we focus on the incitement as one of information source features (hereinafter, media), and propose a quantitative index to evaluate it. We define {it user reaction time}, which is How fast the user spreads the information which he/she received, as a clue to estimate the degree of incitement. We proposed an index that summed up user reaction time for each media as an index indicating the incitement. As a result, it was suggested that the proposed index tended to have a unique value depending on the media, irrespective of the article and the degree of article diffusion. In the future, we will conduct large-scale user evaluation experiments to further verify the validity of the proposed index.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) information diffusion / social media analysis / web mining
Paper # NLC2019-37
Date of Issue 2020-02-09 (NLC)

Conference Information
Committee NLC
Conference Date 2020/2/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Seikei University
Topics (in Japanese) (See Japanese page)
Topics (in English) Integration of verbal and non-verbal information
Chair Takeshi Sakaki(Hottolink)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT)
Assistant Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Trend analysis of media company SNS account based on user reaction time
Sub Title (in English)
Keyword(1) information diffusion
Keyword(2) social media analysis
Keyword(3) web mining
1st Author's Name Takeshi Sakaki
1st Author's Affiliation Hottolink, Inc.(HTL)
2nd Author's Name Fujio Toriumi
2nd Author's Affiliation the University of Tokyo(UT)
Date 2020-02-16
Paper # NLC2019-37
Volume (vol) vol.119
Number (no) NLC-415
Page pp.pp.7-11(NLC),
#Pages 5
Date of Issue 2020-02-09 (NLC)