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Call for Paper
Information Processing & Management
Special Issue on "Dark Side of Online Information Behavior"
NOTE: The submission system opens TODAY. The potential authors can
submit their papers at any time prior to January 31, 2020.
Articles will be reviewed on a first come-first review basis, and
the submitted papers will be immediately handled as they come in.
The authors can get the feedback very quickly (e.g., normally desk
check within 0.5 week and sending out for review within 1 week).
Introduction
The dark side of online information behavior represents the
negative phenomena associated with the management of information
in the online environment. With the widespread availability of
Internet and the emerging technologies, cyberspace becomes one of
the most important channels for people to generate, organize,
store, retrieve, acquire, disseminate and utilize information.
Recognizing that information can be easily managed online although
it causes different types of negative consequences. For example,
87 million Facebook user profiles have been improperly shared and
misused by Cambridge Analytica, and online information privacy
becomes a worldwide concern in recent years. Online fake news also
exerts profound influence on political, economic, and social
well-being. With the increasing volume of available information,
we also witnessed a society of information overload and
information anxiety. At the same time, information violence and
harassment foster a hostile online environment. The power of
artificial intelligence makes it easier for people to access the
information they need, but it also creates information cocoons.
Although there are many dark sides of online information behavior,
current studies on this topic are still limited, leaving
considerable gaps in the literature, particularly on how to
conceptualize and operationalize the dark or unexpected negative
sides of online information behaviors, how to theorize the
underlying cognitive, psychological and social processes of such
behaviors, and how to implement system design and information
recognition to avoid negative information behaviors. The objective
of this special issue thus is to push the boundaries of
information behavior research, and draw the urgent attention of
academics and practitioners to this important and fertile area.
We believe this is a topic of challenges faced by
multidisciplinary fields such as information systems, library and
information science, computer science, marketing, communication
and cognitive sciences. This special issue seeks high-quality and
original contributions that advance the concepts, methods and
theories by exploring the dark side of online information
behaviors, and address the mechanisms, strategies and techniques
for behavioral interventions. All contributions should clearly
address the knowledge gaps indicated in the literature and will be
peer-reviewed by the panel of experts associated with relevant
field. This special issue is open to submissions from all
theoretical and methodological perspectives. We particularly
welcome research that challenges the boundaries of traditional
academic thinking, integrates and expands the knowledge rooted in
diverse disciplines and within diverse contexts, and comes up with
innovative ideas in theorizing and resolving the negative issues
related to online information behavior.
The topics of interest include, but are not limited to:
Misinformation, disinformation and online fake news
Information addiction, overload and underload
Information privacy and security concerns
Technophobia and information anxiety
Information violence and harassment
Illegal or unethical information searching, distribution and use
Deceptive online communication
Information cocoons and echo-chambers
Information distractions, disruptions and interruptions
Counterproductive online information behaviors
Data-driven negative information extraction, recognition and
validation methods
System design that tracks and solves the above negative issues
related to information behavior
Important dates
Submission system opens: August 30, 2019
Initial submission deadline: January 31, 2020
First-round decision: March 31, 2020
Revision submission: May 15, 2020
Second-round decision: June 30, 2020
Final revision submission: July 31, 2020
Final decision: August 15, 2020
Guest editors
Dr. Xiao-Liang Shen (Wuhan University, Email:
xlshen@whu.edu.cn<mailto:xlshen@whu.edu.cn>)
Dr. Bo Sophia Xiao (University of Hawaii at Manoa, Email:
boxiao@hawaii.edu<mailto:boxiao@hawaii.edu>)
Dr. Wei Lu (Wuhan University, Email:
weilu@whu.edu.cn<mailto:weilu@whu.edu.cn>)
Dr. Ben Choi (Nanyang Technological University, Email:
benchoi@ntu.edu.sg<mailto:benchoi@ntu.edu.sg>)
For further information, please feel free to contact the special
issue guest editors.
Submission Guidelines
All submissions must be original, not published or under review
elsewhere. Authors should follow the Guide for Authors, which
can be found at the homepage of Information Processing &
Management, and submit their manuscripts through Elsevier online
submission system by selecting the issue "Dark information
behavior" from the dropdown list. The authors are also suggested
to explain how their manuscripts advance the current understanding
of the negative issues related to online information behavior in
the cover letter.
About Information Processing & Management
Information Processing and Management (IP&M) is a leading
international journal focusing on publishing peer-reviewed
original research concerning theory, methods, or application in
the field of information science. The journal's aim is to serve
the interests of researchers and practitioners in furthering
knowledge in the broad area of information science and related
fields by providing an effective forum for the timely
dissemination of advanced and topical issues. IP&M is also
indexed by a number of major indexes, including SCI and SSCI, with
a current impact factor of 3.892.
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