--------------------------- Call for Papers -----------------------------------------

Information Processing & Management (IP&M)
Special Issue on "Processing Social Media in Real-Time"
https://www.journals.elsevier.com/information-processing-and-management/call-for-papers/call-for-papers-processing-social-media-in-real-time

**Submission Deadline: July 31, 2017**

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AIMS AND SCOPE
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Social media provide a wealth of information that reveals insights into current affairs and ongoing events. A careful exploitation of this information can be of help to enrich numerous applications with fresh insights. Example applications include news reporting, disaster coordination, law enforcement, health emergencies such as infectious disease outbreaks, and prediction of election or referendum outcomes. This presents new challenging issues for the research community in order to quickly make sense of torrential social streams as they come out, and to make the most from the fresh knowledge available from these streams. The aim of this special issue is to disseminate contributions that report on novel techniques and applications that make the most of the information gathered from social media in a (near) real-time fashion.

Streams collected from social media have attracted a wide community of researchers to study the knowledge that can be garnered from information shared on social media. Research in this field has focused on many different aspects such as search, summarization, trend detection, prediction, and recommendation, among others. While research that exploits social media data offline gained popularity in the first decade of social media growth, processing this data in real-time is now picking up momentum. Processing social media in real-time involves a number of novel challenges to the area of social media research, such as processing streams of data online due to the inability to store and index everything; having to make early decisions observing only the first bits of a growing trend, where the next part of the trend is yet to be observed; or collecting time-aware relevance judgements for information whose relevance drops or whose validity expires over time.


TOPICS OF INTEREST
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Topics of interest include (but are not limited to):

* Real-time search in social streams.
* Summarization of social streams as the information is collected.
* Evaluation as a service for real-time analysis of social streams.
* Early detection of trends, news, and events.
* Real-time recommendation of information, who to follow, etc.
* Real-time classification and clustering.
* Real-time social network analysis.
* Behavioral prediction.
* Real-time sentiment analysis and opinion mining.
* Real-time user modeling.
* Real-time natural language learning, processing and understanding.
* Real-time verification and fact-checking.
* Semantic web approaches for real-time analysis of social streams, including continuous semantics, and application of continuously updated knowledge in improving insights and prediction.


GUEST EDITORS
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* Arkaitz Zubiaga, University of Warwick, UK
* Damiano Spina, RMIT University, Australia
* Markus Strohmaier, GESIS & University of Koblenz-Landau, Germany
* Amit Sheth, Kno.e.sis - Wright State University, USA


IMPORTANT DATES
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* Papers Due: July 31, 2017
* First Round Decisions: October 7, 2017
* Major Revisions if needed: December 23, 2018
* Second Round Decisions: February 27, 2018
* Minor Revisions if needed: April 23, 2018
* Final Decision: May 27, 2018
* Publication Date: July 2018