Theme: Making Sense of Microposts: Big things come in small packages
Microposts (e.g. Twitter status updates, Facebook likes, Google recommends, Instagram photos, Foursquare checkins) are now primarily published from mobile devices using platform-specific applications — 2012 saw smart phone sales surpass personal computers worldwide for the first time. With increasing capability to interact with social media on the go (using also other small devices such as tablets and even feature phones), we anticipate the rate of publication of Microposts to continue to increase. The consumption of such data is spread across a range of use cases and needs, from emergency response and crowd tracking, to financial risk forecasting, political sentiment analysis, public opinion assessment, and e-Learning. In each case it is imperative that we can make sense of Microposts in order to extract and act upon this useful information.
#MSM2013 aims to discuss and critique current efforts toward making sense of Microposts — i.e. information posted on the Web that is small in size (typically not more than 140 characters per post) and that requires minimal effort to publish. Naturally, low-effort publishing services that result in Microposts are popular among users due to their ease of exchange; however, the increased quantity of new content available comes with a price: low information content, potential misinterpretation and large quantities to analyse. The analysis of Microposts therefore represents a major challenge that needs to be solved in order to help extract what is undebatable knowledge, and use this to build more intelligent end-user systems.
Microposts are both a technical and a social phenomenon, and the nature of the challenge related to their treatment is therefore multi-disciplinary. We continue to promote a multidisciplinary workshop, as achieved in the past two in the series, by also encouraging social scientists and other non-Computer Science researchers to submit work that looks at the theories behind Micropost usage and communication through this medium. The workshop also encourages demonstration of practical application of the results of analysis of Micropost data, both within the research community and in everyday, real-world scenarios.
The workshop will focus on topics including, but not exclusive to, the four main areas below. The first two concern information extraction and enrichment using existing and novel algorithms, the third targets research on Microposts outwith a pure Computer Science perspective, and the last addresses the application of research on Micropost data.
Microposts and Semantic Web technologies
- Concept and entity extraction from Microposts
- Modelling Microposts using ontologies
- Inference from Microposts
- Microposts and the Web of Linked Data
Data Mining from Microposts
- Network analysis and community detection
- Influence detection and social contagion modeling
- Opinion mining and sentiment analysis
- Content recommendation and link prediction
- Scalable processing techniques
- Micropost aggregation and mapping to other content
Social and Web Science Studies
- Attention economics in Micropost systems
- Political and polemical aspects of Microposts
- Citizen empowerment through Microposts
- Community/network analysis of Micropost dynamics
- Ethics, legal and privacy implications
- Cultural and regional differences in Micropost publishing
- Brand management, business analysis / market scanning
- Collective intelligence
- Event detection, crowd tracking and geo-location
- Public consensus & citizen participation
- Emergency response & health
- User profiling and expert-finding
- Discovery of information & people through Microposts
- e-Learning via Microposts
- Visualisation of Microposts as a decision support tool