2nd CFP: AI4BigData'20 @ FLAIRS-33, Florida, USA

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CALL FOR PAPERS 

AI4BigData'20 - Artificial Intelligence for Big Social Data Analysis 

http://www.ir.disco.unimib.it/ai4bigdata20/ <http://www.ir.disco.unimib.it/ai4bigdata20/>

Special Track @ FLAIRS-33 

The 33nd International FLAIRS Conference: https://www.flairs-33.info/ <https://www.flairs-33.info/>

North Miami Beach, Florida, USA - May 17-20, 2020

In cooperation with:

Association for the Advancement of Artificial Intelligence: http://aaai.org/ <http://aaai.org/>

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As the Web rapidly evolves, Web users are evolving with it. In an era of social 
connectedness, people are becoming increasingly enthusiastic about interacting, 
sharing contents, and collaborating through social networks, online communities, 
blogs, Wikis, and other online collaborative media. 

In recent years, this collective intelligence has spread to many different areas, 
with a particular focus on fields related to everyday life such as commerce, tourism, 
education, and health, causing the size of the Social Web to expand exponentially.

The main aim of the AI4BigData’20 Special Track is to explore the new frontiers of 
big data computing for social computing, opinion mining, sentiment analysis, and 
credibility assessment of online information through machine learning techniques, 
knowledge-based systems, adaptive and transfer learning, in order to more efficiently 
retrieve and extract social information from the Social Web.

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TOPICS OF INTEREST 

The broader context of the Special Track comprehends Artificial Intelligence, 
Information Retrieval, Natural Language Processing, Computational Social Science, 
Web Mining, Semantic Web. 

Topics of interest include but are not limited to: 

- Social content/context and Information Retrieval
- Social content/context and Recommender Systems
- Organization and group behavior on social media
- Cultural influences on use and adoption of social media
- Text categorization, clustering, and summarization
- Multi-modal affective computing
- Multi-domain & cross-domain evaluation
- Sentiment / Social Network / Visual Analysis
- Sentiment topic detection & trend discovery
- Predicting real-world phenomena based on social media
- Social innovation and change through social media
- Ethnographic studies of social media
- Online information credibility assessment
- Information/misinformation diffusion
- Credibility of crowdsourced data
- Architectures for Big Data Engineering

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SUBMISSION GUIDELINES 

Submissions of all papers to FLAIRS-33 is done through the EasyChair conference 
system:

https://easychair.org/conferences/?conf=flairs33 <https://easychair.org/conferences/?conf=flairs33>

When submitting your paper, select the AI4BigData’20 Track.

Double-blind reviewing will be provided, so submitted papers must not reveal 
authors  identify (for example, use your paper ID from EasyChair instead of author 
name in your paper).

Do NOT use a fake name for your EasyChair login; your EasyChair account information 
is hidden from reviewers.

The proceedings of FLAIRS will be published by the AAAI, and indexed on Scopus and
DBLP. Authors of accepted papers will be required to sign a form transferring copyright 
of their contribution to AAAI. FLAIRS requires that there be at least one full author 
registration per paper. 

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IMPORTANT DATES