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Tue, 6 Jan 2015 14:26:19 -0500
Michael Yudelson <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Michael Yudelson <[log in to unmask]>
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Apologies for cross-posting

HT2015, Call for Papers for Main Research Tracks
26th ACM Conference on Hypertext and Social Media

2-4 September 2015

--- Conference Scope ---

The ACM Conference on Hypertext and Social Media conference (HT) is a
premium venue for high quality peer-reviewed research on theory, systems
and applications for hypertext and social media. It is concerned with all
aspects of modern hypertext research, including social media, adaptation
and personalization, user modeling, linked data and semantic web, dynamic
and computed hypertext, and its application in digital humanities.

HT2015 will focus on the role of hypertext and hyperlink theory on the web
and beyond, as a foundation for approaches and practices in the wider
community. Therefore, HT2015 has the following tracks:

* Digital Connectivity
* Data Connectivity
* Digital Humanities


In modern Web environments hypermedia content is increasingly generated,
processed, filtered, adjusted, and personalized. Online social networks
further generalize the conventional notion of the hypermedia to imply
connections between users via their content and media. Making sense of these
complex processes has attracted significant attention in various research
The Digital Connectivity track targets developing deeper insights into the
mechanisms of information generation and dissemination, characterization of
evolutionary processes on online social networks, studies of models and
systems that support these processes, and the broader implications of these
for organizations and society. The track provides a forum for researchers
and practitioners to exchange information regarding advancements in the
current state of art.
Addressing problems in the Digital Connectivity space necessitates
expertise in several domains: Computer and Information Science, Social
Sciences, Psychology, and Economics. Hence submissions of
inter-disciplinary works are highly encouraged. We also welcome works that
explore how Digital Connectivity can be applied in diverse domains, such as
Education, Health, Journalism, Government, Environment, and Media.

Topics of interest of the track include (but are not limited to):
* Adaptive authoring and design of hypermedia
* Adaptive hypertext frameworks and toolkits
* Community and social circle evolution
* Crowdsourcing and social media
* Enhancing hyperspace with recommendations
* Expertise and trust in online social networks
* Hypermedia classification and metadata systems
* Information diffusion in social networks
* Information interfaces and navigation support
* Information visualization of social data
* Language analytics in social media
* Mobile hypermedia and social media
* Narrative generation and presentation
* Personalization for hypermedia and social networks
* Social information seeking and retrieval
* Social network and social media analytics
* Spam and malicious activity discovery in social systems
* Spatio-temporal analysis of hypermedia and social networks
* Usability and scrutablility of adaptive hypermedia
* User modeling for adaptive hypermedia

Track Chairs:
Shlomo Berkovsky, CSIRO, Australia
Markel Vigo, University of Manchester, UK


The need to make data available on the Web using formats and protocols that
make them easier to consume by potential data reusers has been widely
recognized and accepted by data owners. This is especially the case with
Open Government Data initiatives, although this need has also arisen and
dealt with in areas such as Culture, Journalism, Science, etc. Besides the
obvious method of placing isolated datasets as files on Web servers,
probably with some simple metadata associated to them, several other
alternative methods have been proposed for making different types of data
available on the Web: Linked Data, CSV on the Web, REST APIs, etc. Once
these are available, they can be used inside data value chains to generate
more added-value data, data-intensive applications, etc.
 This track deals with the methods, techniques and technologies that can be
used to make data available on the Web, with a special focus on how
heterogeneous data sources can be connected to each other, hence breaking
data silos on the Web. We are not only focused on using Linked Data
approaches, which sit naturally for this purpose, but also on any other
alternative approaches that may allow for such data publishing, description
and interlinking. In fact, we welcome submissions that address any of the
steps of the data-on-the-Web lifecycle, including the creation,
interlinking, entity and relation extraction, semantic annotation, analysis
and modeling, dynamics and evolution, and applications of connected data on
the Web.

Topics of interest include, but are not limited to:
* Web and connected data publication, annotation and curation
* Web and connected data linking and integration
* Web and connected data wrangling
* Analysis, mining, modeling and management of Web and connected data,
including Linked Data, knowledge graphs, Web tables, and social network data
* Web and connected data dynamics and evolution
* Web and connected data provenance, privacy, and trust
* Web and connected data in scholarly communication and publication
* Crowdsourcing for Web and connected data
* Applications using Web and connected data for the Web, mobile devices,
and social media
* Scalability of data connectivity and linking algorithms and
* User experience with Web and connected data

Track Chairs:
  Oscar Corcho, Universidad Politécnica de Madrid and LocaliData, Spain
  Erjia Yan, Drexel University, USA


With its wide-spread adoption, the World Wide Web has become a highly
detailed yet biased reflection of human social behavior. The web in general
and social media in particular have become attractive textual and
non-textual data sources that potentially capture aspects of how people
think/feel/behave in social situations (social psychology), relate to each
other (sociology), govern themselves (political science), handle wealth
(socioeconomics), or create culture (anthropology). While these phenomena
have received attention from different communities, understanding human
social behavior via unobtrusive methods (i.e. methods where the researcher
doesn’t intrude into the research context) remains a challenging endeavor
and an open problem. Tackling these challenges requires the development of
new methods, instruments and techniques as well as an interdisciplinary
effort from researchers across disciplines.
In this track, we seek submissions contributing to studies of the web from
an interdisciplinary perspective. In particular, we are seeking to attract
work on the intersection between computer science on one hand, and the
humanities and social sciences on the other.

Topics of interest of the track include (but are not limited to):
* Studies of human culture based on online social networks and
encyclopedia, computational methods to assess human culture along different
dimensions (such as language, food, music, literature etc)
* Using social media to study psychological phenomena, and corresponding
methods to assess psychological phenomena via web-based investigations
* Biases in social media, such as population biases, channel bias,
self-selection bias, etc and computational methods for assessment and
* The study of limitations of tools used in digital humanities, extension
of traditional source criticism into the development of systematic “tool
* Social and individual inequalities on the web, e.g. gender or race
disparities, computational methods and instruments to assess and track
* Studies of political processes and dynamics on the web, such as
elections, political unrest, grassroots movements
* Predictions with social media, e.g. stock markets, spread of language,
culture, memes or diseases.
* Longitudinal studies of social phenomena and social change on the web
* Computational methods to assess and improve social and/or individual
well-being via the web
* Studies investigating the role and causal impact of algorithms in
facilitating social interactions on the web
* Innovative instruments for distant reading and quantitative methods in
humanities and social sciences
(Semi-)automated instruments to annotate social media data with constructs
relevant for social sciences / the humanities.

Track Chairs:
  Jacco van Ossenbruggen, Centrum Wiskunde & Informatica (CWI) & VU
University, The Netherlands
  Markus Strohmaier, GESIS / University of Koblenz-Landau, Germany

-- Important Dates for Research Tracks

03 April 2015: Research paper submission deadline
29 May 2015: Research paper notifications
19 June 2015: Camera ready deadline
02 - 04 September: Hypertext 2015 conference

--- Venue ---
The Hypertext 2015 conference will be held in the Culture and Convention
Center (CCC) at Middle East Technical University Northern Cyprus Campus

--- Organisation ---
General Chair
  Yeliz Yesilada, Middle East Technical University Northern Cyprus Campus
Program Chairs
  Rosta Farzan, University of Pittsburgh, USA
  Geert-Jan Houben, Delft University of Technology, The Netherlands
Workshop and Tutorial Chairs
  Alvin Chin, Microsoft, China
  Ethan Munson, University of Wisconsin-Milwaukee, USA
Posters and Demos Chair
  Jessica Rubart, University of Applied Sciences Ostwestfalen-Lippe, Germany
Doctoral Consortium Chairs
  Denis Parra, Catholic University of Chile, Chile
  Christopher Trattner,Norwegian University of Science and Technology,
Proceedings Chair
  Claus Atzenbeck, Hof University, Germany
Caring, Child Care and Disability Support Chairs
  Andy Brown, BBC, UK
  Caroline Jay, University of Manchester, UK
Treasurer and Local Chair
  Ilknur Celik, Middle East Technical University Northern Cyprus Campus
Publicity Chairs
  Federica Cena, University of Torino, Italy
  Michael Yudelson, Carnegie Learning, Inc., USA
Local Publicity Chair
  Elgin Akpinar, Middle East Technical University, Turkey
Web Chair
  Sukru Eraslan, Middle East Technical University Northern Cyprus Campus
SIGWEB Representative and Liason
  Simon Harper, University of Manchester, UK

Michael (Mikhail) Yudelson
Research Scientist
Carnegie Learning, Inc.

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