Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study (original) (raw)

Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia

CHI Conference on Human Factors in Computing Systems, 2022

The success of Wikipedia and other user-generated content communities has been driven by the openness of recruiting volunteers globally, but this openness has also led to a persistent lack of trust in its content. Despite several attempts at developing trust indicators to help readers more quickly and accurately assess the quality of This work is licensed under a Creative Commons Attribution International 4.0 License.

Trust Evaluation Mechanisms for Wikipedia

Wikipedia is the well-nigh successful and most popular free encyclopedia developed by many editors in collaborative manner. It provides multitude of opportunities for online large scale knowledge sharing between virtual communities by letting the viewer to create and edit articles directly in the web browser. Information on Wikipedia is expanding largely, but the increase in quantity is not proportional to quality of the content. The cursory observer of Wikipedia may not be able to differentiate between the good and the bad quality of the content. Despite the success of Wikipedia, trust on Wikipedia content is still questioned because of its open editing model. In this paper primarily the challenges for trust evaluation mechanisms, caused by the significant characteristics of Wikipedia‟s knowledge base are discussed. Existing Wikipedia trust evaluation models are comprehensively surveyed and key issues related to these are highlighted. Finally based on this study new dimensions for ...

Computing trust from revision history

2006

Abstract: A new model of distributed, collaborative information evolution is emerging. As exemplified in Wikipedia, online collaborative information repositories are being generated, updated, and maintained by a large and diverse community of users. Issues concerning trust arise when content is generated and updated by diverse populations. Since these information repositories are constantly under revision, trust determination is not simply a static process.

Representing, Proving and Sharing Trustworthiness of Web Resources Using

2010

The World Wide Web has evolved into a distributed network of web applications facilitating the publication of information on a large scale. Judging whether such information can be trusted is a difficult task for humans, often leading to blind trust. In this paper we present a model and the corresponding veracity ontology which allows trust to be placed in web content by web agents. Our approach differs from current work by allowing the trustworthiness of web content to be securely distributed across arbitrary domains and asserted through the provision of machine-readable proofs (i.e. by citing another piece of information, or stating the credentials of the user/agent). We provide a detailed scenario as motivation for our work and demonstrate how the ontology can be used.

Read What You Trust: An Open Wiki Model Enhanced by Social Context

2011

Wiki systems, such as Wikipedia, provide a multitude of opportunities for large-scale online knowledge collaboration. Despite Wikipedia's successes with the open editing model, dissenting voices give rise to unreliable content due to conflicts amongst contributors. From our perspective, the conflict issue results from presenting the same knowledge to all readers, without regard for the importance of the underlying social context, which both reveals the bias of contributors and influences the knowledge perception of readers. Motivated by the insufficiency of the existing knowledge presentation model for Wiki systems, this paper presents Trust Wiki, a new Wiki model which leverages social context, including social background and relationship information, to present readers with personalized and credible knowledge. Our experiment shows, with reliable social context information, Trust Wiki can efficiently assign readers to their compatible editor community and present credible knowledge derived from that community. Although this new Wiki model focuses on reinforcing the neutrality policy of Wikipedia, it also casts light on the other content reliability problems in Wiki systems, such as vandalism and minority opinion suppression.

Scientific mashups: The issue of trust in the aggregation of web 2.0 content

The concept of scientific mashups is gaining popularity as the sheer amount of scientific content is scattered over different sources, such as databases or public websites. A variety of mashup development frameworks exist, but none fully address the needs of the scientific community. One limitation of scientific mashups is the issue of trust and attribute; especially when the content comes from collaborative information repositories where the quality of such content is unknown. In this paper, for our case study we focus on CalSWIM whose content is taken from both highly reliable sources and Wikipedia which may be less so. We will show how integrating CalSWIM with a reputation management system can help us assess the reputation of users and the trustworthiness of the content. Using user reputations, the system selects the most recent and trustworthy revision of the wiki article rather than merely the most recent revision, which might be vandalistic or of poor quality.

Wiki trust metrics based on phrasal analysis

Wiki users receive very little guidance on the trustworthiness of the information they find. It is difficult for them to determine how long the text in a page has existed, or who originally authored the text. It is also difficult to assess the reliability of authors contributing to a wiki page. In this paper, we create a set of trust indicators and metrics derived from phrasal analysis of the article revision history. These metrics include author attribution, author reputation, expertise ratings, article evolution, and text trustworthiness. We also propose a new technique for collecting and maintaining explicit article ratings across multiple revisions.

Report on the Models of Trust for the Web workshop (MTW'06)

2006

Abstract We live in a time when millions of people are adding information to the Web through a growing collection of tools and platforms. Ordinary citizens publish all kinds of content on Web pages, blogs, wikis, podcasts, vlogs, message boards, shared spreadsheets, and new publishing forums that seem to appear almost monthly. As it becomes easier for people to add information to the Web, it is more difficult, and also more important, to distinguish reliable information and sources from those that are not.

Trust policies for semantic web repositories

2006

The increasing reliance on information gathered from the Web and other Internet technologies (P2P networks, e-mails, blogs, wikis, etc.) raises the issue of trust. Trust policies are needed to filter out untrustworthy information. This filtering task can be leveraged by the increasing availability of Semantic Web metadata that describes the information retrieved. It is necessary, however, to adequately model the concept of trustworthiness; otherwise one may end up with operational trust measures that lack a clear meaning. It is also important to have a path from one's trust requirements to concrete trust policies through Semantic Web technologies. This paper proposes a horn logic model for trust policies, grounded on a real-world model of trust that offers justification for trust decisions and controlled trust measurement. We also propose the use of this model to enhance existing Semantic Web repositories with a trust layer.

RootSet: A Distributed Trust-based Knowledge Representation Framework For Collaborative Data Exchange

2014

In a collaborative setting, several organizations need to exchange data with each other. Trust management is a major hindrance for inter-organizational collaborations. Organizations show reluctance towards replication of data outside their own datacenters. This work demonstrates a distributed trust-based platform for data exchange, called RootSet, among several collaborating organizations. RootSet enables organizations to share data without replication. It provides credential-based access control to manage data access by users throughout the platform using access rules. This work showcases several features of this tool.