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2014 International Workshop on Curbing Collusive Cyber-gossips in Social Networks (C3-2014)
August 17, 2014, joint with ASONAM2014 (CFP in txt)

Mirror Site in China

The emergence of social media is now reshaping the way businesses manage their sales and marketing assets. Unlike traditional media such as the TV, radio or newspaper, the social media (e.g., FaceBook, YouTube, Twitter, TripAdvisor, VirtualTourist, Houzz, Sina Weibo, Tencent Weixin and many other Web 2.0 sites) is characterized by user contributions, sharing, decentralization and being free. Not only are they gaining phenomenal popularity as the Web becomes accessible via all sorts of devices, they also have a strong influence on a brand making it a force that many organizations can no longer ignore. Many of us would have sought online reviews before making a purchase decision or forming an opinion, so do the rest of the consumers. 

Unlike traditional media and sites, social media rely on user-generated content. Unfortunately, many of the user-generated content may not be that genuine as expected. It has been found that online paid posters have been hired by public relationship companies to post product comments on different online communities and social networks, without even consuming the services or products. While online paid posters can be used as an efficient e-marketing strategy, they can also act maliciously by spreading gossip or negative information about competitors. More specifically, a group of paid posters could operate with well-coordinated attacks, and generate a desired result of positive or negative opinions, to attract attention or trigger curiosity. This is known as “cyber-gossips”, which can mislead online users, and put the individuals or a business in a compromising position or at serious risk. 
So powerful are these online opinions that businesses cannot ignore their impact on its bottom line. If businesses do not manage their online reputation properly, they risk damaging their brand and sales assets. And the battlefield to do so is clearly played out in the social media arena.

Recent years have witnessed increasing research attention on spammer detection in social networks. This trend raises the need for launching the International Workshop on Curbing Collusive Cyber-gossips in Social Networks (C3). This workshop will be the premier forum in which curbing cyber gossips is promoted as a serious and important research field by its own with relevant challenging problems and emerging issues to be formally addressed. 

C3-2014 aims to increase potential collaborations and partnerships by bringing together academic researchers and industry practitioners from data mining, network security, digital forensics, behavioral and psychology sciences with the objectives to present updated research efforts and progresses on foundational and emerging topics of C3, exchange new ideas and identify future research directions. 

Workshop Program (Tentative)

Date: August 17, 2014
Venue: Convention Hall 5B

8:00-8:30 Registration
8:30 - 10:00 Session 1
8:30- 8:55
Optimal Strategies for Targeted Influence in Signed Networks Basak Guler, Burak Varan, Kaya Tutuncuoglu, Mohamed Nafea, Ahmed A. Zewail, Aylin Yener, Damien Octeau
8:55- 9:20 Rumors Detection in Chinese via Crowd Responses Guoyong Cai, Hao Wu, Rui Lv
9:20-9:45 A Novel Method for Computer Video Leaking Signal Detection Jun Shi, Weiqing Huang, Dong Wei, Degang Sun
9:45-10:10 Simpler is Better? Lexicon-based Ensemble Sentiment Classification Beats Supervised Methods Lukasz Augustyniak, Tomasz Kajdanowicz, Piotr Szymanski, Włodzimierz Tuligłowicz
10:00-10:30 Coffee Break
10:30-12:30 Session 2
10:30-10:55 Automatically Identifying Experts in On-line Support Forums using Social Interactions and Post Content Tyler Munger, Jiabin Zhao
10:55-11:20 Community-based cheater detection in location-based social networks Wenjie Fan, Wei Fan, Stephen Shaoyi Liao, Kai-Hau Yeung
11:20-11:45 SDHM: A Hybrid Model for Spammer Detection in Weibo Yu Liu, Bin Wu, Bai Wang, Guanchen Li
11:45-12:10 Using global diversity and local features to identify influential social network spreaders Yu-Hsiang Fu, Chung-Yuan Huang, Chuen-Tsai Sun
12:30-13:30 Lunch (Lijiang Hall)

Workshop Closing

Topics of Interests

C3-2014 calls for original papers focus on but not limited to the following topics:

(1) Content Based Methods: Information / Opinion / Knowledge Modeling and Spread Analysis

  • Agent-based data retrieval
  • Complex sequence analysis
  • Content and Opinion analysis
  • Temporal-sequential pattern mining
  • Impact-oriented pattern mining
  • Event/activity/action filtering
  • Multi-granularity data visualization

(2) Behavior Based Methods: Behavior Modeling and Mining

  • Behavior structure extraction
  • Behavior life cycles
  • Sequential/Parallel/Distributed behavior modeling
  • Behavior dynamics 
  • Cyber Criminal behavior analysis 
  • Social networking behavior analysis

(3) Social Relation Based Methods: Cyber Analysis

  • Group and group behavior detection, tracking and recognition
  • Collusive crime/piracy detection
  • Graph-based behavior/social modeling
  • Dynamic/hidden group presentation
  • Collaborative social recommendation
  • Group interaction, collaboration, representation and profiling
  • Cyber-Gossip Spread Models
(4) Applications and Open Case Study
  • Poster spam detection
  • Blog spam detection
  • Click spam detection
  • Identity authentication
  • Botnets prevention
  • Datasets for cyber-gossips detection

Apr 18, 2014, 10:55 PM