Second Call for Papers: NAACL/HLT Workshop on Language Analysis in Social Media (LASM 2013)
Atlanta, Georgia, USA, June 13, 2013
Hosted in conjunction with NAACL-HLT 2013
Cristian Danescu-Niculescu-Mizil (Stanford University, US / Max Planck Institute SWS, Germany)
Atefeh Farzindar (NLP Technologies, Canada)
Michael Gamon (Microsoft Research, US)
Diana Inkpen (University of Ottawa, Canada)
Meena Nagarajan (IBM Almaden, US)
Keynote speaker: Mor Naaman (Rutgers University)
Over the last few years, there has been a growing public and enterprise interest in 'social media' and their role in modern society. At the heart of this interest is the ability for users to create and share content via a variety of platforms such as blogs, micro-blogs, collaborative wikis, multimedia sharing sites, social networking sites. The unprecedented volume and variety of user-generated content as well as the user interaction network constitute new opportunities for understanding social behavior and building socially aware systems.
This workshop is intended to serve as a forum for sharing research efforts and results in the analysis of language with implications for fields such as computational linguistics, sociolinguistics and psycholinguistics. The workshop will also focus on work that addresses development of benchmark corpora and task-oriented evaluation methods for linguistic analysis. The workshop is a merger between the Language in Social Media Workshop (LSM 2011 and 2012) and the Semantic Analysis in Social Media Workshop (SASM 2012).
While the proposed workshop relates to the NAACL Social Media Analysis and Processing track and to other conferences and workshops that focus on social media analysis, it has a specific goal: to bring together researchers from different fields that have a common interest in exploring the characteristics and challenges associated with language in social media.
Mar 01, 2013 Paper due date
Mar 29, 2013 Notification of acceptance
Apr 12, 2013 Camera-ready deadline
Jun 13 or 14, 2013 Workshop
SECOND CALL FOR PAPERS:
We invite original and unpublished research papers on all topics related to the analysis of language in social media, including but not limited to the sample topics listed below. Demos of working systems or systems under development are encouraged.
Papers should follow the NAACL long paper format, and demos should follow the NAACL demo submission format.
START submission link: Submission page: https://www.softconf.com/naacl2013/LASM2013.
- What are people talking about on social media?
o What are the topics and entities that people are referring to?
o 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?
o How are cultures interpreting any situation in local contexts and supporting them in their variable observations on a social medium?
o What are the dynamics of conversations in social communities?
o Emotion, mood and affect analysis on social media
- How are they expressing themselves?
o What does language tell us about the community or about individual members and their allegiances to group practices?
o Can users be meaningfully grouped in terms of their language use (e.g. stylistic properties)?
- Why do they scribe?
o What are the underlying motivations for generating and sharing content on social media?
o 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?
- Natural language processing techniques for social media analysis:
o To what extent can existing NLP techniques be adapted to this medium?
o Evaluation methods for testing and benchmarking social media data
o Semantic analysis in sentences and web content from social networks
o Machine translation and social media
- Language and network structure: How do language and social network properties interact?
o What is the relation between network properties and the language that flows through them?
- Semantic Web / Ontologies / Domain models to aid in social data understanding:
o 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?
- Language across verticals:
o What challenges and opportunities in processing language on social media are common or different across industry or topic or language verticals?
o What differences appear in how users ask for or share information when they are interacting with a company vs. with friends?
o What language signals on social media are relevant for public health and crisis management?
- Characterizing Participants via Linguistic Analysis:
o Can we infer the relation between the participants via properties of language used in dyadic interactions?
o Are we seeing differences in how users self-present on this new form of digital media?
o What effect do participants have on an evolving conversation?
o Security, identity and privacy issues from linguistic analysis over social media
- Language, Social Media and Human Behavior:
o What can language in Social Media tell us about human behavior?
o How does language in Social Media reflect human conditions such as power relations, emotional states, distress, mental conditions?
Cindy Chung (University of Texas)
Munmun De Choudhury (Microsoft Research)
Jennifer Foster (Dublin City University)
Daniel Gruhl (IBM)
Kevin Haas (Microsoft)
Guy Lapalme (Université de Montréal)
Eduarda Mendes Rodrigues (University of Porto)
Alena Neviarouskaya (University of Tokyo)
Nicolas Nicolov (Microsoft)
Alexander Osherenko (University of Augsburg)
Patrick Pantel (Microsoft Research)
Alan Ritter (University of Washington)
Mathieu Roche (Université de Montpellier)
Victoria Rubin (University of Western Ontario)
Hassan Sayyadi (University of Maryland)
Amit Sheth (Wright State)
Scott Spangler (IBM Research)
Mike Thelwall (University of Wolverhampton)
Alessandro Valitutti (University of Helsinki)
Julien Velcin (Université de Lyon)
Emre Kiciman (Microsoft Research)
Valerie Shalin (Wright State)
Ian Soboroff (NIST)