[AISWorld] #SMSociety CFP: 2019 INTERNATIONAL CONFERENCE on SOCIAL MEDIA & SOCIETY (Toronto, July 19-21, 2019)

agruzd at gmail.com agruzd at gmail.com
Sat Sep 29 16:25:51 EDT 2018


Toronto, Canada (JULY 19-21, 2019)


THEME: Rethinking Privacy and Trust in the Social Media Age


Full papers (6-10 pages) Due: Jan. 28, 2019

WIP papers (1000-word extended abstract) Due: Jan. 28, 2019

Panels, Workshops, & Posters Due: Mar. 18, 2019


Full papers presented at the Conference will be published in the conference
proceedings by ACM International Conference Proceeding Series (ICPS) and
will be available in the ACM Digital Library. All conference presenters will
be invited to submit their work as a full paper to the special issue of the
Social Media + Society journal (published by SAGE).

SUBMISSION DETAILS: http://socialmediaandsociety.org/submit/



The  <http://socialmediaandsociety.org/> International Conference on Social
Media & Society (#SMSociety <http://socialmediaandsociety.org/> ) is an
annual gathering of leading social media researchers from around the world.
Now, in its 10th year, the 2019 conference is being held in Toronto, Canada
from July 19 to 21. From its inception, the conference has focused on the
best practices for studying the impact and implications of social media on
society. Organized by the Social Media Lab <http://socialmedialab.ca/>  at
Ted Rogers School of Management <https://www.ryerson.ca/tedrogersschool/>
at Ryerson University <https://www.ryerson.ca/> , the conference provides
participants with opportunities to exchange ideas, present original
research, learn about recent and ongoing studies, and network with peers.

The conference's intensive three-day program features hands-on workshops,
full papers, work-in-progress papers, panels, and posters. The wide-ranging
topics in social media showcase research from scholars working in many
fields including Management, Communication, Computer Science, Education,
Journalism, Information Science, Political Science, and Sociology. 

CONFERENCE THEME: Rethinking Privacy and Trust in the Social Media Age

Can we trust what we hear and see on social media? For a time, social media
was viewed as a net positive for society. In their 2013 book, The New
Digital Age, Google's Jared Cohen and Eric Schmidt wrote:"Never before have
so many people been connected through an instantly responsive network." In
2015, Mark Zuckerberg, the co-founder and CEO of Facebook, wrote a glowing
endorsement of the internet and social media calling it "a force for peace
in the world." He argued that connecting people through social media would
help to bring about a "shared understanding" of the human condition and
build a "common global community."

Fast forward to 2018, social media is now embroiled in a series of ongoing
public scandals involving data abuse and misuse-with the most infamous
scandal involving the UK data analytics firm Cambridge Analytica. More
troubling is fact that social media has emerged as fertile ground for
fostering anti-social behaviour and is an important vector for
disinformation, misinformation, and manipulation operations. These realities
have further raised users' privacy concerns and challenged public trust in
social media, which has resulted in a revitalized call for new legislation
and regulation.

Considering this context, the  <http://socialmediaandsociety.org/>
International Conference on Social Media & Society invites scholarly and
original submissions that explore key questions and central issues related
(but not limited) to the 2019 theme of "Rethinking Privacy and Trust in the
Social Media Age." We welcome research from a wide range of methodological
perspectives employing established quantitative, qualitative, and mixed
methods as well as innovative approaches  that cross interdisciplinary
boundaries and expands our understanding of the current and future trends in
social media research, especially research that seeks to explore:

*	What does 'privacy' and 'trust' mean in the social media age?

*	How can researchers  study and operationalize these constructs?
*	What is the relationship between users' trust in social media
platforms, their privacy concerns, and their social media adoption and use?
*	What are privacy protective technologies that can help to rebuild
users' trust in social media?
*	Can and how AI-based applications help to rebuild trust in social
media and improve the credibility of social media content?

*	How does social media manipulation affect political trust and
*	How is social media being used to help build and strengthen trust in
political, economic, social and cultural realms of society?
*	What roles do alternative social networking services-such as
Diaspora, Mastodon, and Gab.ai-play in the current social media environment
where hashtag campaigns-such as #DeleteFacebook, #MAGA and #MeToo-have
become prevalent?
*	What theoretical and methodological tools can researchers rely on
for ethical and privacy-protective collection, analysis, and sharing of
social media datasets?
*	What are the consequences of data regulations such as GDPR (General
Data Protection Regulation) on the industry and users? Are these regulations
*	What are emerging successful user engagement models for governments,
journalists, financial institutions, marketers, and others in today's social
media landscape?
*	What is the future of social media research without APIs?
*	How can we measure authentic (or organic) user engagement while
properly accounting for bot-driven (or paid) interactions?
*	How does algorithmic architecture influence how we discover and
interact with others?
*	What is the role of algorithms played in creating divisive culture
in social media?
*	What are the ethical concerns of algorithms (inclusion,
accessibility, discrimination, bots) and how to mitigate them?


Social Media Impact on Society

*       Privacy

*       Trust & credibility

*       Political mobilization & engagement

*       Extremism & terrorism

*       Politics of hate and oppression

*       Health and well-being

Social Media & Business

*       Brand communities

*       Influencer & marketing

*       Public & customer relations

*       Cybervetting and HR

*       Risk management

Social Media & Public Sector

*       Government social media management

*       Adoption, use, strategies and policies

*       Trust towards public agencies

*       Citizens' engagement

*       Citizens' privacy & security concerns

Social Media & Academia

*       Alternative metrics

*       Learning analytics

*       Teaching with social media

*       University branding

Online/Offline Communities

*       Online community detection

*       Influential user detection

*       Identity and anonymity

*       Case studies

Social Media & Mobile

*       Appification of society

*       Privacy & security issues in a mobile world

*       Encrypted messaging apps

*       Fake news & misinformation

Theories & Methods

*       Qualitative approaches

*       Quantitative approaches

*       Mixed methods

*       Opinion mining & sentiment analysis

*       Social network analysis

*       Theoretical models

Big & Small Data

*       Value of small data

*       Data mining and analytics

*       Sampling issues

*       Visualization

*       Scalability issues


*	Anatoliy Gruzd, Ryerson University, Canada - Conference Chair 
*	Priya Kumar, Ryerson University, Canada - Conference Chair
*	Philip Mai, Ryerson University, Canada - Conference Chair
*	Jenna Jacobson, Ryerson University, Canada - Full Paper Chair
*	Raquel Recuero, Universidade Federal de Pelotas (UFPel), Brazil -
Full Paper Chair
*	Hazel Kwon, Arizona State University, USA - WIP Chair
*	Jeff Hemsley, Syracuse University, USA - WIP Chair
*	Anabel Quan-Haase, Western University, Canada - Panel Chair
*	Luke Sloan, Cardiff University, UK - Panel Chair
*	Jaigris Hodson, Royal Roads University, Canada - Poster Chair


*	Susan Halford, University of Southampton, UK
*	Caroline Haythornthwaite, Syracuse University, USA
*	Zizi Papacharissi, University of Illinois at Chicago, USA
*	Barry Wellman, INSNA Founder, The NetLab Network, Canada


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