NextMail 2012 - First International Workshop on Next Trends in Email

The growing amount of public available data on the WWW is a new opportunity to improve Messaging systems (e.g. Email, Social Media, Instant Messaging) in multiple forms, such as messages content, processing (classification, etc.) and presentation. This workshop is dedicated to explore how public web data, such as identities, agendas, LinkedData, social networks or various information published on the web can meet private messaging data (semi-structured headers, information extracted from emails, footers such as signatures, etc.) to bring new insight for users, and prevent error or abuse. Reciprocally, messages can become public (think about public email archives, leaked email datasets, Twitter timelines, etc.), but sometimes to implement web standards to be efficiently identified, distributed and linked. This private/public duality and versality, applied to messages in general (and especially to email), is the basis of this workshop, which goes beyond technical aspects and aims at exploring impacts on users' practices, interfaces and trust.
In this workshop edition, we want to particularly explore 1) how to preserve privacy in the context strictly private messages (Email, Direct Messages) and public data (such as open linked data) by minimizing information disclosure, and 2) the integration of social media (Twitter, Facebook) with conventional messaging systems (Email, forums) in an everyday use, and its impact on data acquisation and organisation.
Topics
Specific topics of interest include, but are not limited to:
Archives exploration and analysis: Email mailing lists, web archives, structured datasets, email archives as knowledge base or business intelligence data source.
Usage studies: usage patterns, behaviors, information overload.
Technical impact: infrastructures, protocols stacks.
Web standards: embedding web standards in messages, semantics, microformats, LinkedData and its integration and use in messages.
Conversations: quotes, threads, sentiment/discourse/opinion analysis, dialog analysis, conversation graph.
Social: identities, institution and individual reputation, folksonomies, collaboration and social media integration.
HCI and visualization: interfaces, novel interactions, visual analysis,recommendation.
Natural Language Processing: applications of NLP technologies, message understanding, topic modeling, message summarization.
Information Extraction: methods and techniques to extract sensitive/personal information from email, entities disambiguation and coreferences.
Interactions on the Web: instant messaging, RSS feeds, blogging, social network, tweets.
Security and privacy issues: usable privacy, trust, phishing, abuse.