- From: Viviana Patti <patti@di.unito.it>
- Date: Thu, 26 Apr 2018 18:19:46 +0200
- To: public-sentiment@w3.org
- Message-Id: <B4EA5BDB-3A62-4DE4-B3DF-ED09BD63C0CD@di.unito.it>
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SeCredISData 2018 - Call for Papers
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SPECIAL SESSION on Sentiment, Emotion, and Credibility of Information in Social Data
(https://dsaa2018.isi.it/program/special-sessions/se-cred-i-s-data <https://dsaa2018.isi.it/program/special-sessions/se-cred-i-s-data>)
The 5th IEEE International Conference on Data Science and Advanced Analytics
DSAA 2018, October 1–4, 2018, Turin — Italy
(https://dsaa2018.isi.it/home <https://dsaa2018.isi.it/home>)
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AIMS AND SCOPE
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 to discussing the
implications that Data Analysis has in tackling open issues 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 monitoring, 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 interesting object of investigation.
On the other hand, by considering the process of “disintermediation” that affects social
media, the Special Session will also investigate the problem of assessing the credibility
of information spreading among and across virtual communities. The diffusion of fake news,
hoaxes, rumors, fake reviews, 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 study and the development of approaches that can help
people in automatically assess the level of credibility of information is a fundamental
research issue in the last years.
The aim of this Special Session is therefore to cover different aspects related to Data
Analysis applied to social data, by addressing to a heterogeneous community of researchers
who has data science as a common denominator.
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TOPICS OF INTEREST
Areas of interest to DSSA 2018 include, but are not limited to:
- Subjectivity, sentiment, and emotion detection in social media and big data
- Sentiment-based indexing, search, and retrieval in social media
- Sentiment topic detection & trend discovery
- Multimodal emotion and sentiment detection in social media
- Big data for multimodal affective interaction (e.g., chatbots)
- Time evolving opinion & sentiment analysis
- Emotions, sentiment, geographic locations and places
- Using sentiment and affect for social media predictive analysis
- Irony and sarcasm detection
- Emotion models and ontologies of emotions
- Affect in natural language
- Hate speech detection
- Information fusion for affective computing
- Summarization and visualization of emotions, sentiment and affective data
- Applications of sentiment analysis and emotion detection in social media
- Ethical issues in affect and opinion detection in user-generated contents
- Opinion spam, group spam, fake news detection
- Credibility/reliability of health-related information
- Fact-checking
- Multimedia content credibility
- Information/misinformation diffusion
- Trust and reputation in virtual communities
- Retrieval of credible information
- Gold standard datasets generation with respect to the credibility of information
- Crowdsourcing credibility
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SUBMISSIONS
The submissions Web site for the SeCredISData Special Sessions is on Easy Chair
(https://easychair.org/conferences/?conf=dsaa2018 <https://easychair.org/conferences/?conf=dsaa2018>) and it is the same as the submission
Website for the main DSAA 2018 conference track.
Important Dates
May 25 – Special Session Paper Submission
Jul 20 – Notification of acceptance
Aug 3 – Camera-ready
Aug 13 – Advanced Registration
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CHAIRS
- Farah Benamara, Toulouse University – benamara@irit.fr <mailto:benamara@irit.fr>
- Cristina Bosco, University of Turin – bosco@di.unito.it <mailto:bosco@di.unito.it>
- Elisabetta Fersini, University of Milano-Bicocca – fersini@disco.unimib.it <mailto:fersini@disco.unimib.it>
- Gabriella Pasi, University of Milano-Bicocca – pasi@disco.unimib.it <mailto:pasi@disco.unimib.it>
- Viviana Patti, University of Turin – patti@di.unito.it <mailto:patti@di.unito.it>
- Marco Viviani, University of Milano-Bicocca – marco.viviani@disco.unimib.it <mailto:marco.viviani@disco.unimib.it>
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WEB SITES
- DSAA 2018 Conference (https://dsaa2018.isi.it/home <https://dsaa2018.isi.it/home>)
- SeCredISData 2018 (https://dsaa2018.isi.it/program/special-sessions/se-cred-i-s-data <https://dsaa2018.isi.it/program/special-sessions/se-cred-i-s-data>)
(http://www.ir.disco.unimib.it/secredisdata2018/dsaa-2018/ <http://www.ir.disco.unimib.it/secredisdata2018/dsaa-2018/>)
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Received on Thursday, 26 April 2018 16:19:18 UTC