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 (including genre identification, political preference, etc.)
- 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 to education, entertainment, health, e-government, games
- 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