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Subject:
From:
Arkaitz Zubiaga <[log in to unmask]>
Reply To:
Arkaitz Zubiaga <[log in to unmask]>
Date:
Thu, 16 Mar 2017 10:34:26 +0000
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[Apologies for cross-postings]

--------------------------- 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 7, 2017**

-----------------------------------------------------------------------


AIMS AND SCOPE
--------------

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
------------------

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
-------------

* 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
---------------

* Papers Due: July 7, 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

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