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Proceedings/Recueil Des Communications Année : 2018

Secredisdata 2018: Special session on sentiment, emotion, and credibility of information in social data (Turin 2018)

Résumé

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.
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Dates et versions

hal-03044244 , version 1 (10-12-2020)

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Farah Benamara, Cristina Bosco, Elisabetta Fersini, Gabriella Pasi, Viviana Patti, et al.. Secredisdata 2018: Special session on sentiment, emotion, and credibility of information in social data (Turin 2018). Benamara, Farah; Bosco, Cristina; Fersini, Elisabetta; Pasi, Gabriella; Patti, Viviana; Viviani, Marco. IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA 2018), IEEE Computer Society, pp.638-640, 2018, ⟨10.1109/DSAA.2018.00082⟩. ⟨hal-03044244⟩
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