-------- Forwarded Message --------
Subject: [AISWorld] [Submission System Opens] Special Issue on “Dark
Side of Online Information Behavior"
Date: Wed, 6 Nov 2019 15:15:47 +0000
From: Ben Choi (Asst Prof) <benchoi(a)ntu.edu.sg>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
CC: Ben Choi (Asst Prof) <benchoi(a)ntu.edu.sg>
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(a)whu.edu.cn<mailto:xlshen@whu.edu.cn>)
Dr. Bo Sophia Xiao (University of Hawaii at Manoa, Email:
boxiao(a)hawaii.edu<mailto:boxiao@hawaii.edu>)
Dr. Wei Lu (Wuhan University, Email:
weilu(a)whu.edu.cn<mailto:weilu@whu.edu.cn>)
Dr. Ben Choi (Nanyang Technological University, Email:
benchoi(a)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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