Paper Submission Information

Papers should follow the NAACL long paper format (http://naacl2013.naacl.org/CFP.aspx), and demos should follow the NAACL demo submission format (http://naacl2013.naacl.org/Demonstrations.aspx).  The submission page is: https://www.softconf.com/naacl2013/LASM2013.

Call For Papers

We invite original and unpublished research papers on all topics related the analysis of language in social media, including but not limited to the sample topics listed below.  Demos of working or under development systems are encouraged.

1. • What are people talking about on social media?  
   

1. ◦What are the topics and entities that people are referring to?
   

2. ◦What is an effective way to summarize contributions in social media or around a news-worthy event that offer a lens into the society's perceptions?  
   

3. ◦How are cultures interpreting any situation in local contexts and supporting them in their variable observations on a social medium?  
   

4. ◦What are the dynamics of conversations in social communities?
   

5. ◦Emotion, mood and affect analysis on social media
   

2. •How are they expressing themselves?  
   

1. ◦What does language tell us about the community or about individual members and their allegiances to group practices?  
   

2. ◦Can users be meaningfully grouped in terms of their language use (e.g. stylistic properties)?
   

3. •Why do they scribe? 
   

1. ◦What are the underlying motivations for generating and sharing content on social media?
   

2. ◦How are community structures and roles evidenced via language usage? Can content analysis shed more light on network properties of community such as link-based diffusion models?
   

4. •Natural language processing techniques for social media analysis:
   

1. ◦To what extent can existing NLP techniques be adapted to this medium?
   

2. ◦Evaluation methods for testing and benchmarking social media data
   

3. ◦Semantic analysis in sentences and web content from social networks  
   

4. ◦Machine translation and social media
   

5. •Language and network structure: How do language and social network properties interact?  
   

1. ◦What is the relation between network properties and the language that flows through them?
   

6. •Semantic Web / Ontologies / Domain models to aid in social data understanding:  
   

1. ◦Given the recent interest in the Semantic Web and LOD community to expose models of a domain, how can we utilize these public knowledge bases to serve as priors in linguistic analysis?
   

7. •Language across verticals:
   

1. ◦What challenges and opportunities in processing language on social media are common or different across industry or topic or language verticals?  
   

2. ◦What differences appear in how users ask for or share information when they are interacting with a company vs. with friends?
   

3. ◦What language signals on social media are relevant for public health and crisis management?
   

8. •Characterizing Participants via Linguistic Analysis:
   

1. ◦Can we infer the relation between the participants via properties of language used in dyadic interactions?
   

2. ◦Are we seeing differences in how users self-present on this new form of digital media?
   

3. ◦What effect do participants have on an evolving conversation?
   

4. ◦Security, identity and privacy issues from linguistic analysis over social media
   

9. •Language, Social Media and Human Behavior:
   

1. ◦What can language in Social Media tell us about human behavior?
   

2. ◦How does language in Social Media reflect human conditions such as power relations, emotional states, distress, mental conditions?