Identifying Suspected Cybermob on Tieba

Shi, Shumin; Zhou, Xinyu; Zhao, Meng; Huang, Heyan

doi:10.1007/978-3-319-47674-2_31

Lecture Notes in Computer Science

2016

DOI: 10.1007/978-3-319-47674-2_31

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Identifying Suspected Cybermob on Tieba

Shumin Shi

Xinyu Zhou

Meng Zhao

et al.

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Cited by 2 publications

References 7 publications

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Multi-Features Group Emotion Analysis Based on CNN for Weibo Events

Shi¹,

Zhao²,

Guan³

et al. 2017

dtcse

Self Cite

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With the development of social network, group emotion analysis on social media such as Facebook, Twitter and Weibo becomes a new trend in recent years. Many different methods have been proposed for group emotion analysis, including traditional methods like SVM and NB and deep learning methods like RNN and CNN. This paper proposes a CNN model with multi-features. We first analyze the characteristic of weibos to collect features including basic features, user-based features and content-based features. We introduce these features to our CNN model to analyze emotions for Weibo events, which has been proved in experiment that it is effective to get the accurate sentiment of weibos. We crawl 5,319,687 weibos about 724 events from Sina Weibo and apply several feature matrices to classify them to 4 types. We use the new model to analyze 4 kinds of events to get the group emotion. The results suggest that the classification we suggested can capture the emotions within different event group.

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Multi-Features Group Emotion Analysis Based on CNN for Weibo Events

Shi¹,

Zhao²,

Guan³

et al. 2017

dtcse

Self Cite

View full text Add to dashboard Cite

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Shaming 2.0. Social Interaction and the Construction of Shame and Shaming

Moshe¹

2020

Ro. J. Comm. & PR

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With the rise and spread of the Web 2.0 culture the nature of “old”/“traditional” social interaction, including shame and shaming, is changing as more and more attention is given to online vs. offline social interactions. Amongst those on-going changes lies the construction of Shaming 2.0, i.e., a public attempt to impose shame on “the Other” by using Web 2.0 technological capabilities. Thus, Shaming 2.0 can be defined as a pragmatic social negotiation regarding the boundaries of what is allowed and forbidden, what is acceptable and unacceptable while performing on-line and off-line social interactions. The illustration of Shaming 2.0 was conducted by utilizing Israeli rabbinical court decisions in the era of Web 2.0 cultural features. Via the implementation of critical discourse analysis, the rise of the ‘Virtual Mirror’ is portrayed side by side with “new” social interactions behind the scenes of Shame 2.0.

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Identifying Suspected Cybermob on Tieba

Cited by 2 publications

References 7 publications

Multi-Features Group Emotion Analysis Based on CNN for Weibo Events

Multi-Features Group Emotion Analysis Based on CNN for Weibo Events

Shaming 2.0. Social Interaction and the Construction of Shame and Shaming

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