The Social Web represents nowadays the principal means to support and foster social interactions among people through Web 2.0 technologies. Individuals interact in virtual communities to pursue mutual interests or goals, by exchanging multiple kinds of contents (i.e., textual, acoustic, visual), the so-called User-Generated Content (UGC). In this context, the SeCredISData Special Session is especially devoted at discussing the implications that the analysis of big social data has in tackling open issues related to society from different perspectives. On one side, there is the need to push forward the research on emotion and sentiment, and the investigation of affective cognitive models and their possible integration into intelligent systems. On the other side, it is urgent to address the issue of on-line information credibility assessment, in an era where trusted intermediaries have disappeared and people must rely only on their cognitive capacities to judge information. The Special Session is therefore aimed at promoting the development of models and applications able to tackle these issues

Benamara, F., Bosco, C., Fersini, E., Pasi, G., Patti, V., Viviani, M. (2019). SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data. In 2018 IEEE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA) (pp.638-640). Institute of Electrical and Electronics Engineers Inc. [10.1109/DSAA.2018.00082].

SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data

Bosco, C;Fersini, E;Pasi, G;Viviani, M
2019

Abstract

The Social Web represents nowadays the principal means to support and foster social interactions among people through Web 2.0 technologies. Individuals interact in virtual communities to pursue mutual interests or goals, by exchanging multiple kinds of contents (i.e., textual, acoustic, visual), the so-called User-Generated Content (UGC). In this context, the SeCredISData Special Session is especially devoted at discussing the implications that the analysis of big social data has in tackling open issues related to society from different perspectives. On one side, there is the need to push forward the research on emotion and sentiment, and the investigation of affective cognitive models and their possible integration into intelligent systems. On the other side, it is urgent to address the issue of on-line information credibility assessment, in an era where trusted intermediaries have disappeared and people must rely only on their cognitive capacities to judge information. The Special Session is therefore aimed at promoting the development of models and applications able to tackle these issues
paper
Credibility; Fake news detection; Hate speech detection; Opinion mining; Sentiment analysis; Social media;
English
IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA) OCT 01-04
2018
2018 IEEE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA)
978-153865090-5
2019
638
640
8631434
none
Benamara, F., Bosco, C., Fersini, E., Pasi, G., Patti, V., Viviani, M. (2019). SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data. In 2018 IEEE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA) (pp.638-640). Institute of Electrical and Electronics Engineers Inc. [10.1109/DSAA.2018.00082].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/218801
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