Connectionists: CFP: DASM'20 International Workshop on Data Analytics on Social Media

[Yue Xu]

[Apologies for multiple postings]

Call for Papers

DASM'20: International Workshop on Data Analytics on Social Media  
Conjunction with the 2020 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), Melbourne, Australia, 14 December 2020. 

Workshop website: https://www.dasm-workshop.qut.edu.au/

Important Dates:

 Electronic submission of full papers: 30 September, 2020  
 Notification of paper acceptance:31 Oct. 2020  
 Workshop:  14 Dec. 2020
 Conference: 15 - 17 Dec. 2020

Paper Submission: 
Your paper should be limited to a maximum of 4 pages in the IEEE conference proceedings format.
Online submission page: https://wi-lab.com/cyberchair/2020/wi20/scripts/ws_submit.php?subarea=S

Motivations and topics
With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recent years, the research area of data analytics has been developing rapidly. Many data analytics techniques have been developed for analysing raw data gathered from various data sources to generate valuable hidden insights and useful information which can help human beings make wise decisions. Social media analytics is the process of gathering and analyzing data from social networks and online communities. This area has not yet been well-exploited; difficulties arise while selecting resources through data analytics systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection, data analysis and mining, through data analytics systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in social media data analytics, and for discussing new and innovative approaches.  

The topics include, but are not limited to:

User behaviour modelling and personalization techniques
Collaborative and content based filtering
Security and trust on social media
Trust and reputation management
Ontology learning and semantic web technologies
Content management and modelling
Product modelling, user opinion mining and data extraction
Adaptive user interfaces
Ownership of social media content
Text summarization and topic modelling on social media
Trustworthiness and reliability on social media
Recommender applications for social media sites
Explanation and justification in recommender systems
Measuring personalization effectiveness
Modelling decision making in e-commerce systems
Measuring personalization effectiveness
Evaluation methods for recommender systems
Security and Privacy in social media
Incorporation of domain knowledge and business processes
Healthcare data analytics
Applications of data analytics


Organizers:
Yue Xu, Queensland University of Technology, Australia, yue.xu at qut.edu.au
Xiaoying Gao, Victoria University of Wellington, New Zealand, xiaoying.gao at ecs.vuw.ac.nz
Yuefeng Li, Queensland University of Technology, Australia, y2.li at qut.edu.au
Audun Jøsang,   University of  Oslo, Norway, josang at mn.uio.no