Category Archives: Research Posters

Managing Risk in Business Centric Crowdfunding Platforms

Title: Managing Risk in Business Centric Crowdfunding Platforms

Authors: Peter Stack:University College Cork; Joe Feller:University College Cork;
Phil O’Reilly:University College Cork; Rob Gleasure:University College Cork;
Shanping Li:Zhejiang University; Jerry Cristoforo:State Street Corporation

Abstract: Crowdfunding is a rapidly growing phenomenon and is becoming a viable alternative to traditional financial institutions for small business fund seekers. Crowdfunding involves harnessing small individual investments from a large number of investors. This paper explores four key risks associated with crowdfunding: Money Laundering, IP Theft, Fraud, and “Failure by Success.” The paper then outlines key research questions for the next stage of the research, which will empirically investigate how crowdfunding platforms self-govern against these risks.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

Open Peer Review CMS Support

Title: Open Peer Review CMS Support

Authors: Oliver Zendel:Austrian Institute of Technology; Matthias Schorghuber:Austrian Institute of Technology; Michela Vignoli:Austrian Institute of Technology

Abstract: Peer reviewing is a crucial step for quality assurance at scientific publishing. The task is time consuming and error-prone due to conflicts of interest, subjective opinions, and different education backgrounds. Open Peer Review (OPR) can solve many of said problems and is already applied to the journal publishing workflow. The poster visualizes the efforts done in the EU project OpenUP to evaluate the usefulness of OPR for conference submissions. Two conference venues will try out specific versions of OPR. The conference management software (CMS) needed to facilitate this process is summarized. The CMS solution HotCRP was chosen among the evaluated options for the pilots. The poster introduces the individual processes of open peer review at the two venues and how this is supported in HotCRP. This shall give conference organizers an insight into what is possible and allow for discussions with the OpenUP team about the selected approaches.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

How is Value Created within an Inner Source Environment?

Title: How is Value Created within an Inner Source Environment?

Author: Noel Carroll:University of Limerick

Abstract: Awareness and indeed adoption of open source practices inside corporate entities, something termed Inner Source, has become quite popular in recent years. However, the majority of research efforts focus on industry-driven Inner Source adoption with little or no conceptual accounts of how value is created and sustained within Inner Source environments. This research-in-progress explains how an Inner Source Capability Maturity Model (IS-CMM) can offer a structure to guide Inner Source strategies and sustaining value co-creation.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

An Author Network to Classify Open Online Discussions

Title: An Author Network to Classify Open Online Discussions

Authors: Mattias Mano:i3-Centre de Recherches en Gestion, Ecole Polytechnique;
Jean-Michel Dalle:University Pierre et Marie Curie;
Joanna Tomasik:Centrale Supelec

Abstract: Among other modalities, online coordination can notably rely on discussions and forums. However, and notwithstanding increasing research efforts, direct approaches that would help communities and moderators distinguish between gossip and serious debates are still largely missing. We present an innovative methodology to detect the different structures of online discussions in the sub-Reddit Change My View. Applying a clustering algorithm to the author networks, we highlight three distinct classes characterized by alternative behaviors. To better understand the underlying social dynamics, we implement a relational event model that provides evidence for three effects whose influence can affect the structure of online discussions.

Download: This contribution is part of the OpenSym 2018 proceedings and is available as a PDF file.

Current and alternate approaches to personalization in online learning

Title: Current and alternate approaches to personalization in online learning

Authors: Debora Jeske:University College Cork; Mammed Bagher:Edinburgh Napier University; Nadia Pantidi:University College Cork

Abstract: In the context of distance (online) learning programs, the current paper focuses on two specific goals. First, we outline how personalization based on learning analytics has been implemented in online programs offered by traditional universities, but also providers of MOOCs and virtual institutions. However, this established approach is not without its limitations. Second, we introduce two alternate concepts that may support personalization based on work around readability indices and job crafting. These approaches may also help to address some of the limitations of learning analytics. The emphasis is on how personalization may support the development of individual learning paths that would provide means for both self-pacing and co-construction of the experience. The paper concludes with a review of facilitating and challenging factors for program leaders, online technical staff and designers working in open educational contexts.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

Supporting Awareness of Content-related Controversies in a Wiki-based Learning Environment

Title: Supporting Awareness of Content-related Controversies in a Wiki-based Learning Environment

Authors: Sven Heimbuch (University of Duisburg-Essen), Daniel Bodemer (University of Duisburg-Essen)

Abstract: User generated content in Wikis is mainly distributed on the article view and its corresponding talk page. Potentials of analysing and supporting discussants’ knowledge construction processes on the level of talk pages have still been rarely researched. The presented experimental study addresses this issue by providing external representations of content-related controversies which were led by contradictory evidence between discussants to foster awareness on socio-cognitive conflicts which can be beneficial for learning. Its aim is to investigate how increased salience of controversies can guide participants’ (N = 81) navigation and learning processes. Three conditions differing in their degree of awareness support were implemented in this study. Results indicate that the implementation of awareness representations helped students to focus on meaningful discussion threads. Findings suggest that Wiki talk page users can benefit from additional structuring aids.

This contribution to OpenSym 2014 will be made available as part of the OpenSym 2014 proceedings on or after August 27, 2014.

Geographic and Linguistic Normalization: Towards a Better Understanding of the Geo-linguistic Dynamics of Knowledge

Title: Geographic and Linguistic Normalization: Towards a Better Understanding of the Geo-linguistic Dynamics of Knowledge

Authors: Han-Teng Liao, Thomas Petzold

Abstract: This paper proposes a method of geo-linguistic normalization to advance the existing comparative analysis of open collaborative communities, with multilingual Wikipedia projects as the example. Such normalization requires data regarding the potential users and/or resources of a geolinguistic unit.

This contribution to OpenSym 2014 will be made available as part of the OpenSym 2014 proceedings on or after August 27, 2014.

Contropedia – The Analysis and Visualization of Controversies in Wikipedia Articles

Title: Contropedia – The Analysis and Visualization of Controversies in Wikipedia Articles

Authors: Erik Borra, Esther Weltevrede, Paolo Ciuccarelli, Andreas Kaltenbrunner, David Laniado, Giovanni Magni, Michele Mauri, Richard Rogers, Tommaso Venturini

Abstract: Collaborative content creation inevitably reaches situations where different points of view lead to conflict. In Wikipedia, one of the most prominent examples of collaboration online, conflict is mediated by both policy and software, and conflicts often reflect larger societal debates. Contropedia is a platform for the analysis and visualization of such controversies in Wikipedia. Controversy metrics are extracted from activity streams generated by edits to, and discussions about, individual articles and groups of related articles. An article’s revision history and its corresponding discussion pages constitute two parallel streams of user interactions that, taken together, fully describe the process of the collaborative creation of an article. Our proposed platform, Contropedia, builds on state of the art techniques and extends current metrics for the analysis of both edit and discussion activity and visualizes these both as a layer on top of Wikipedia articles as well as a dashboard view presenting additional analytics. Furthermore, the combination of these two approaches allows for a deeper understanding of the substance, composition, actor alignment, trajectory and liveliness of controversies on Wikipedia. Our research aims to provide a better understanding of sociotechnical phenomena that take place on the web and to equip citizens with tools to fully deploy the complexity of controversies. Contropedia is useful for the general public as well as user groups with specific interests such as scientists, students, data journalists, decision makers and media communicators.

This contribution to OpenSym 2014 will be made available as part of the OpenSym 2014 proceedings on or after August 27, 2014.

Measuring the Quality of Edits to Wikipedia

Title: Measuring the Quality of Edits to Wikipedia

Authors: Susan Biancani

Abstract: Wikipedia is unique among reference works both in its scale and in the openness of its editing interface. The question of how it can achieve and maintain high-quality encyclopedic articles is an area of active research. In order to address this question, researchers need to build consensus around a sensible metric to assess the quality of contributions to articles. This measure must not only reflect an intuitive concept of “quality,” but must also be scalable and run efficiently. Building on prior work in this area, this paper uses human raters through Amazon Mechanical Turk to validate an efficient, automated quality metric.

This contribution to OpenSym 2014 will be made available as part of the OpenSym 2014 proceedings on or after August 27, 2014.

Reliability of User-Generated Data: the Case of Biographical Data in Wikipedia

Title: Reliability of User-Generated Data: the Case of Biographical Data in Wikipedia

Authors: Robert Viseur

Abstract: Wikipedia is a collaborative multilingual encyclopedia launched in 2001. We already conducted a first research on the extraction of biographical data about personalities from Belgium in order to build a large database with biographical data. However, the question of the reliability of the data arises. In particular, in the case of Wikipedia, the data are generated by users and could be subject to errors. In consequence, we wanted to answer to the following question: are the data introduced in Wikipedia articles reliable? Our research is organized in three sections. The first section provides a brief state of the art about the reliability of the user-generated data. A second section presents the methodology of our research. A third section will present the results. The error rates that were measured for the birthdate is low (0.75%), although it is higher than the 0.21% score that we observed for the baseline (reference sources). In a fourth section, the results are discussed.

This contribution to OpenSym 2014 will be made available as part of the OpenSym 2014 proceedings on or after August 27, 2014.