[ecrea] Social Network Analysis and Mining (SNAM) - S.I. : Uncovering Deception in Social Media -- deadline extended (July 15th)

Uncovering Deception in Social Media

A Special Issue in Springer Journal Social Network Analysis and Mining

Guest Editors: Huan Liu (ASU), Jiawei Han (UIUC), and Hiroshi Motoda
(Osaka University)

Social media is quickly arising as a new, popular form of media.
Facebook, Twitter, and LinkedIn are some examples of an inordinate
number of social media services that are loved and used by people of
all walks of life for various purposes such as sharing news,
expressing opinions, documenting thoughts, launching political
campaigns, maintaining and developing friendships or professional
connection. Some key characteristics of social media include low entry
barrier, instant updates (thus, instant gratification), large numbers
of friends, open platform, and anonymity.  The last two properties
make people comfortable to become users but also make social media
vulnerable to activities of ill intentions.

Deception in social media is an epitome of such activities. Deception
is a distortion with an intention to mislead users, analysts,
organizations, etc. A distortion can be about content, source,
identity, age, sex, or location, among many. Deception is encouraged
or made easy by the unique circumstances of social media. Deception is
rampant in social media for a wide range of reasons, being an innocent
white lie or resulting in a dire consequence where one's job or life
is at stake. Hence, it is important to research deception in social
media. It is necessary to uncover deception in social media so that we
can improve our awareness and confidence in using social media, design
and develop countermeasures to "separate wheat from chaff" to minimize
negative impact of deception.

This special issue aims to identify issues of deception in social
media, review the state-of-the-art research on deception, offer a
convenient venue for sharing multi-disciplinary research findings, and
identifying pressing issues and future challenges.

Topics of interest include, but are not limited to, the following
* Forms of deceptions: disinformation, misinformation, honeypot
accounts, wiki-circularity, and impersonation
* Features associated with deceptions: linguistic features,
interactive features, etc.
* Sources of deceptions: adversaries, hoax, privacy related, white
lies, sites of special interests/design
* Handling deceptions: assessment, detection, prediction, and tracking
* Deception theories and practices: how extant social and
psychological theories can be adapted to social media study, new needs
of social media
* Data for deception research: benchmarks, and data of good practice
* Performance evaluation: evolving nature of deception, ground truth,
and metrics
* Applications: Health, Cybersecurity, Online Search, Online
Advertisement, Online Communications,
* Related topics: provenance, trust, credibility, spam, gaming, and fraud

For submission, please visithttp://www.editorialmanager.com/snam/  by
selecting Article Type "S.I.: Uncovering Deception in Social Media"

Important Dates: Submissions due on July 15 (extended), 2013; Review
results due on September 15, 2013; Manuscripts due on November 15,
2013; Expected publication date: early 2014.

http://www.public.asu.edu/~huanliu/CFP/CFP-SIudsm13.html

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