CFP: PANSOM2013 Workshop on Understanding the Positive and Negative Sides of Social Media at IJCAI-13

apologies for cross-posting =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
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=3D Workshop on Understanding the Positive and Negative Sides of Social Med=
ia (PANSOM'13) at IJCAI-13 2013 http://soccom.kmi.open.ac.uk/pansom2013/3-5=
th Aug 2013. Beijing, China =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
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=3D THEME=0A--=0AIn recent years, social media has continued to grow in pop=
ularity and has become a=0Apowerful platform for people to unite together u=
nder common interests. The explosive=0Ause of social media has turned it in=
to a double-edged sword. On the one hand, the=0Ainformation revolution has =
proven to have a positive impact in society. Social=0Aplatforms introduce a=
 canvas for self-expression where users can create, manipulate=0Aand share =
content. Positive impacts of these platforms in society include their use=
=0Ain bringing information out of conflicted nations to the World (e.g. Ira=
nian=0Aelections 2009 and Egyptian revolution 2011). They have also proven =
to be an=0Aeffective way of propagating information, proving to spread the =
word before=0Amainstream media prints a story. This has been particularly u=
seful for word=0Aspreading-based mobilisation in emergency response and cri=
sis situations. On the other hand, social media platforms have appeared to =
be also the catalyst in=0Afuelling violent events (e.g. during the UK riots=
 in 2011). The proliferation of=0Ainsults and personal attacks online along=
 with the appearance of socially disruptive=0Apatterns in online social beh=
aviour has become more and more common. Young people=0Aare becoming increas=
ingly narcissistic, and obsessed with self-image and shallow=0Afriendships =
partly due to the use of Facebook and other social media platforms.=0ASocia=
l media addiction also leads to low self-esteem and even anti-social=0Abeha=
viours. This workshop will explore the novel use of techniques from machine=
 learning, data=0Amining, text mining, information retrieval, statistics, i=
nformation security and=0Aprivacy, and user modelling, to identify patterns=
 of potentially positive and=0Anegative activities in social media by exami=
ning the online content, social=0Ainteractions, and user behaviours. It wil=
l also study the metrics in measuring the=0Apositive and negative impact of=
 social media on individuals, business organizations,=0Aand government agen=
cies. The analysis and mining of these patterns aim to promote=0Apositive a=
ctivities in social medial, while at the same time reveal harmful aspects=
=0Aof social media and suggest ways to tackle and to overcome the negative =
side. The aim of this workshop is to bring together researchers from variou=
s backgrounds=0Aincluding those from computer science, social science, and =
psychology, to discuss=0Athe current and emergent topics, and cutting-edge =
approaches to address issues=0Arelating to both positive and negative sides=
 of social media. TOPICS OF INTEREST=0A------------------- 1. Social Media =
Content Understanding * Credibility of social media content * Information d=
iffusion and propagation * Event detection and prediction * Linked data in =
social media * Sentiment analysis and opinion mining 2. Promoting Positive =
Activities in Social Media * Topic=E2=80=93based recommendation systems * L=
ocation-based recommendation systems * Social media in education * Social b=
usiness * Social media in emergency response and crisis situations * Social=
 media-based knowledge management * Citizen journalism * Promoting toleranc=
e and diversity in social media * Supply chains for social content delivery=
         3.        Tackling the Negative Side of Social Media * Violence co=
ntents detection from social media * Offensive language identification * Cy=
berbullying * Cyberterrorism * Inducing opinion bias in social media * Fake=
 opinion recognition * Boycott in topic diffusion * Rumour and spam detecti=
on * Social bot detection * Adult
 content in social media * Socially disruptive behaviours SUBMISSIONS=0A---=
--------- We invite authors to submit papers in one of the following types: * Long papers: up to 6 pages
* Short papers: up to 4 pages
* Position and demo papers: up to 2 pages Papers should be formatted according to the style guide of IJCAI13
(http://ijcai13.org/files/ijcai13.zip) and should be submitted in PDF format through
the EasyChair Conference System at https://www.easychair.org/conferences/?conf=pansom13. There will be no double blind
review process. Author names and affiliations should be included in the paper. Paper
selection will be based on a peer review process.         IMPORTANT DATES
---------------- April 20, 2013 – Paper submission deadline
May 20, 2013 – Paper acceptance notification
May 30, 2013 – Camera-ready copy due         ORGANISERS
----------- A. Elizabeth Cano, KMi, The Open University, UK
Yulan He, Aston University, UK
Kang Liu, Chinese Academy of Sciences, China
Daniele Quercia, Yahoo! Research Barcelona, Spain PROGRAM COMMITTEE
------------------
Luca Aiello, Yahoo! Research Barcelona, Spain
Sofia Angeletou, BBC, UK
Miriam Fernandez, Open University, UK
Grégoire Burel, Open University, UK
Wei Gao, Qatar Foundation, Qatar
Marcel Karnstedt, DERI, Ireland
Daniel Preotiuc-Pietro, University of Sheffield, UK
Neal Lathia, University of Cambridge, UK
Matthew Rowe, Lancaster University, UK
Hassan Saif, Open University, UK
Irina Temnikova, University of Wolverhampton, UK
Chenghua Lin, University of Aberdeen, UK
Milan Stankovic, Hypios & University Paris-Sorbonne, France
Andrea Varga, University of Sheffield, UK
Claudia Wagner, Joanneum Research, Austria
Bin Wang, Chinese Academy of Science, China
Aba-Sah Dadzie, The University of Sheffield, UK
Xin Zhao, Peking University, China

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<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><div><pre><font face="times new roman, new york, times, serif" size="4">apologies for cross-posting

==================================================================

Workshop on Understanding the Positive and Negative Sides of Social Media (PANSOM'13)
                           at IJCAI-13 2013
                </font><a href="http://soccom.kmi.open.ac.uk/pansom2013/" target="_blank" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt;">http://soccom.kmi.open.ac.uk/pansom2013/</a><font face="times new roman, new york, times, serif" size="4">

                 3-5th Aug 2013. Beijing, China

==================================================================


THEME
--
In recent years, social media has continued to grow in popularity and has become a
powerful platform for people to unite together under common interests. The explosive
use of social media has turned it into a double-edged sword. On the one hand, the
information revolution has proven to have a positive impact in society. Social
platforms introduce a canvas for self-expression where users can create, manipulate
and share content. Positive impacts of these platforms in society include their use
in bringing information out of conflicted nations to the World (e.g. Iranian
elections 2009 and Egyptian revolution 2011). They have also proven to be an
effective way of propagating information, proving to spread the word before
mainstream media prints a story. This has been particularly useful for word
spreading-based mobilisation in emergency response and crisis situations.

On the other hand, social media platforms have appeared to be also the catalyst in
fuelling violent events (e.g. during the UK riots in 2011). The proliferation of
insults and personal attacks online along with the appearance of socially disruptive
patterns in online social behaviour has become more and more common. Young people
are becoming increasingly narcissistic, and obsessed with self-image and shallow
friendships partly due to the use of Facebook and other social media platforms.
Social media addiction also leads to low self-esteem and even anti-social
behaviours.

This workshop will explore the novel use of techniques from machine learning, data
mining, text mining, information retrieval, statistics, information security and
privacy, and user modelling, to identify patterns of potentially positive and
negative activities in social media by examining the online content, social
interactions, and user behaviours. It will also study the metrics in measuring the
positive and negative impact of social media on individuals, business organizations,
and government agencies. The analysis and mining of these patterns aim to promote
positive activities in social medial, while at the same time reveal harmful aspects
of social media and suggest ways to tackle and to overcome the negative side.

The aim of this workshop is to bring together researchers from various backgrounds
including those from computer science, social science, and psychology, to discuss
the current and emergent topics, and cutting-edge approaches to address issues
relating to both positive and negative sides of social media.

TOPICS OF INTEREST
-------------------

1. Social Media Content Understanding
        * Credibility of social media content
        * Information diffusion and propagation
        * Event detection and prediction
        * Linked data in social media
        * Sentiment analysis and opinion mining

2. Promoting Positive Activities in Social Media
        * Topic–based recommendation systems
        * Location-based recommendation systems
        * Social media in education
        * Social business
        * Social media in emergency response and crisis situations
        * Social media-based knowledge management
         * Citizen journalism
        * Promoting tolerance and diversity in social media
        * Supply chains for social content delivery        
        
3.        Tackling the Negative Side of Social Media
        * Violence contents detection from social media
        * Offensive language identification
        * Cyberbullying
        * Cyberterrorism
        * Inducing opinion bias in social media
        * Fake opinion recognition
        * Boycott in topic diffusion
        * Rumour and spam detection
        * Social bot detection
        * Adult content in social media
        * Socially disruptive behaviours
        
SUBMISSIONS
------------

We invite authors to submit papers in one of the following types:

* Long papers: up to 6 pages
* Short papers: up to 4 pages
* Position and demo papers: up to 2 pages

Papers should be formatted according to the style guide of IJCAI13
(</font><a href="http://ijcai13.org/files/ijcai13.zip" target="_blank" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt;">http://ijcai13.org/files/ijcai13.zip</a><font face="times new roman, new york, times, serif" size="4">) and should be submitted in PDF format through
the EasyChair Conference System at
</font><a href="https://www.easychair.org/conferences/?conf=pansom13" target="_blank" style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt;">https://www.easychair.org/conferences/?conf=pansom13</a><font face="times new roman, new york, times, serif" size="4">. There will be no double blind
review process. Author names and affiliations should be included in the paper. Paper
selection will be based on a peer review process.        


IMPORTANT DATES
----------------

April 20, 2013 – Paper submission deadline
May 20, 2013 – Paper acceptance notification
May 30, 2013 – Camera-ready copy due        


ORGANISERS
-----------

A. Elizabeth Cano, KMi, The Open University, UK
Yulan He, Aston University, UK
Kang Liu, Chinese Academy of Sciences, China
Daniele Quercia, Yahoo! Research Barcelona, Spain

PROGRAM COMMITTEE
------------------</font><pre><font size="4">Luca Aiello, Yahoo! Research Barcelona, Spain
Sofia Angeletou, BBC, UK
Miriam Fernandez, Open University, UK
Grégoire Burel, Open University, UK
Wei Gao, Qatar Foundation, Qatar
Marcel Karnstedt, DERI, Ireland
Daniel Preotiuc-Pietro, University of Sheffield, UK
Neal Lathia, University of Cambridge, UK
Matthew Rowe, Lancaster University, UK
Hassan Saif, Open University, UK
Irina Temnikova, University of Wolverhampton, UK
Chenghua Lin, University of Aberdeen, UK
Milan Stankovic, Hypios &amp; University Paris-Sorbonne, France
Andrea Varga, University of Sheffield, UK
Claudia Wagner, Joanneum Research, Austria
Bin Wang, Chinese Academy of Science, China
Aba-Sah Dadzie, The University of Sheffield, UK
Xin Zhao, Peking University, China</font><br></pre></pre><pre style="font-family: 'times new roman', 'new york', times, serif; font-size: 12pt;">        </pre></div>  </div></body></html>
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Received on Tuesday, 12 March 2013 14:54:29 UTC