<div dir="ltr"><br><div class="gmail_quote">apologies for cross-posting<br>
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<br>
Workshop on Understanding the Positive and Negative Sides of Social Media (PANSOM'13)<br>
at IJCAI-13 2013<br>
<a href="http://soccom.kmi.open.ac.uk/pansom2013/" target="_blank">http://soccom.kmi.open.ac.uk/pansom2013/</a><br>
<br>
3-5th Aug 2013. Beijing, China<br>
<br>
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<br>
<br>
THEME<br>
--<br>
In recent years, social media has continued to grow in popularity and has become a<br>
powerful platform for people to unite together under common interests. The explosive<br>
use of social media has turned it into a double-edged sword. On the one hand, the<br>
information revolution has proven to have a positive impact in society. Social<br>
platforms introduce a canvas for self-expression where users can create, manipulate<br>
and share content. Positive impacts of these platforms in society include their use<br>
in bringing information out of conflicted nations to the World (e.g. Iranian<br>
elections 2009 and Egyptian revolution 2011). They have also proven to be an<br>
effective way of propagating information, proving to spread the word before<br>
mainstream media prints a story. This has been particularly useful for word<br>
spreading-based mobilisation in emergency response and crisis situations.<br>
<br>
On the other hand, social media platforms have appeared to be also the catalyst in<br>
fuelling violent events (e.g. during the UK riots in 2011). The proliferation of<br>
insults and personal attacks online along with the appearance of socially disruptive<br>
patterns in online social behaviour has become more and more common. Young people<br>
are becoming increasingly narcissistic, and obsessed with self-image and shallow<br>
friendships partly due to the use of Facebook and other social media platforms.<br>
Social media addiction also leads to low self-esteem and even anti-social<br>
behaviours.<br>
<br>
This workshop will explore the novel use of techniques from machine learning, data<br>
mining, text mining, information retrieval, statistics, information security and<br>
privacy, and user modelling, to identify patterns of potentially positive and<br>
negative activities in social media by examining the online content, social<br>
interactions, and user behaviours. It will also study the metrics in measuring the<br>
positive and negative impact of social media on individuals, business organizations,<br>
and government agencies. The analysis and mining of these patterns aim to promote<br>
positive activities in social medial, while at the same time reveal harmful aspects<br>
of social media and suggest ways to tackle and to overcome the negative side.<br>
<br>
The aim of this workshop is to bring together researchers from various backgrounds<br>
including those from computer science, social science, and psychology, to discuss<br>
the current and emergent topics, and cutting-edge approaches to address issues<br>
relating to both positive and negative sides of social media.<br>
<br>
TOPICS OF INTEREST<br>
-------------------<br>
<br>
1. Social Media Content Understanding<br>
* Credibility of social media content<br>
* Information diffusion and propagation<br>
* Event detection and prediction<br>
* Linked data in social media<br>
* Sentiment analysis and opinion mining<br>
<br>
2. Promoting Positive Activities in Social Media<br>
* Topic–based recommendation systems<br>
* Location-based recommendation systems<br>
* Social media in education<br>
* Social business<br>
* Social media in emergency response and crisis situations<br>
* Social media-based knowledge management<br>
* Citizen journalism<br>
* Promoting tolerance and diversity in social media<br>
* Supply chains for social content delivery<br>
<br>
3. Tackling the Negative Side of Social Media<br>
* Violence contents detection from social media<br>
* Offensive language identification<br>
* Cyberbullying<br>
* Cyberterrorism<br>
* Inducing opinion bias in social media<br>
* Fake opinion recognition<br>
* Boycott in topic diffusion<br>
* Rumour and spam detection<br>
* Social bot detection<br>
* Adult content in social media<br>
* Socially disruptive behaviours<br>
<br>
SUBMISSIONS<br>
------------<br>
<br>
We invite authors to submit papers in one of the following types:<br>
<br>
* Long papers: up to 6 pages<br>
* Short papers: up to 4 pages<br>
* Position and demo papers: up to 2 pages<br>
<br>
Papers should be formatted according to the style guide of IJCAI13<br>
(<a href="http://ijcai13.org/files/ijcai13.zip" target="_blank">http://ijcai13.org/files/ijcai13.zip</a>) and should be submitted in PDF format through<br>
the EasyChair Conference System at<br>
<a href="https://www.easychair.org/conferences/?conf=pansom13" target="_blank">https://www.easychair.org/conferences/?conf=pansom13</a>. There will be no double blind<br>
review process. Author names and affiliations should be included in the paper. Paper<br>
selection will be based on a peer review process.<br>
<br>
<br>
IMPORTANT DATES<br>
----------------<br>
<br>
April 27, 2013 – Paper submission deadline<br>
May 27, 2013 – Paper acceptance notification<br>
May 30, 2013 – Camera-ready copy due<br>
<br>
<br>
ORGANISERS<br>
-----------<br>
<br>
A. Elizabeth Cano, KMi, The Open University, UK<br>
Yulan He, Aston University, UK<br>
Kang Liu, Chinese Academy of Sciences, China<br>
Daniele Quercia, Yahoo! Research Barcelona, Spain<br>
<br>
PROGRAM COMMITTEE<br>
------------------<br>
Luca Aiello, Yahoo! Research Barcelona, Spain<br>
Sofia Angeletou, BBC, UK<br>
Miriam Fernandez, Open University, UK<br>
Grégoire Burel, Open University, UK<br>
Wei Gao, Qatar Foundation, Qatar<br>
Marcel Karnstedt, DERI, Ireland<br>
Daniel Preotiuc-Pietro, University of Sheffield, UK<br>
Neal Lathia, University of Cambridge, UK<br>
Matthew Rowe, Lancaster University, UK<br>
Hassan Saif, Open University, UK<br>
Irina Temnikova, University of Wolverhampton, UK<br>
Chenghua Lin, University of Aberdeen, UK<br>
Milan Stankovic, Hypios & University Paris-Sorbonne, France<br>
Andrea Varga, University of Sheffield, UK<br>
Claudia Wagner, Joanneum Research, Austria<br>
Bin Wang, Chinese Academy of Science, China<br>
Aba-Sah Dadzie, The University of Sheffield, UK<br>
Xin Zhao, Peking University, China</div></div>