CFP: SPECIAL SESSION on Sentiment, Emotion, and Credibility of Information in Social Data @DSAA-2018

October 1-4, 2018, Turin, Italy

AIMS and SCOPE
The SeCredISData Special Session is especially devoted to dis-cussing the implications that Data Analysis has in tackling open is-sues related to society, and in developing applications able to tackle these issues. On the one hand, the focus of the Special Session will be given to the study and the application of affective computing and sentiment analysis to social data, which can impact on mon-itoring, analyzing and counteracting discrimination and hate speech, which are increasingly spreading phenomena in our countries also in combination with the pervasiveness of social media. Furthermore, also the applications of sentiment analysis and emotion detection in social media for the development of education, entertainment, health, e-government, and games will be considered as an interesting object of investigation. On the other hand, the Special Session will also investigate the problem of assessing the credibil-ity of information spreading across virtual communities. The dif-fusion of fake news and reviews, hoaxes, rumors, inaccurate health information, can have a negative impact on society with respect to different aspects, from influencing political elections, producing harmful effects if connected to the health of patients, to generating hate and discrimination phenomena. For all these reasons, the de-velopment of approaches that can help people in automatically as-sess the level of credibility of information is a fundamental research issue in the last years.

TOPICS OF INTEREST
- Subjectivity, sentiment, and emotion detection
- Sentiment-based indexing, search, and retrieval
- Sentiment topic detection & trend discovery
- Multimodal emotion and sentiment detection
- Irony and sarcasm detection
- Affect in natural language and multimodal affective interaction
- Emotion models and ontologies of emotions
- Hate speech detection and ethical issues in affect and opinion detection
- Summarization of emotions, sentiment and affective data
- Sentiment analysis and emotion detection in social media to ed-ucation, entertainment, health, e-government, games
- Opinion spam, group spam, fake news detection
- Credibility/reliability of health-related information
- Multimedia content credibility
- Information/misinformation diffusion
- Trust and reputation in virtual communities
- Retrieval of credible information
- Credibility gold standard datasets generation
- Fact-checking and crowdsourcing credibility

IMPORTANT DATES
Abstract: May 20, 2018
Submission: May 25, 2018
Acceptance: July 20, 2018
Camera Ready: August 3, 2018
Conference: October 1-4, 2018

ORGANIZERS
Farah Benamara, Toulouse University
Cristina Bosco, University of Turin
Elisabetta Fersini, University of Milano-Bicocca
Gabriella Pasi, University of Milano-Bicocca
Viviana Patti, University of Turin
Marco Viviani, University of Milano-Bicocca

WEB SITES:
http://www.ir.disco.unimib.it/secredisdata2018
https://dsaa2018.isi.it