Slashdot, open news and informated media: exploring the intersection of imagined futures and web publishing technology

"In this essay, my interest is in how imagined media futures are implicated in the work of producing novel web publishing technology. I explore the issue through an account of the emergence of Slashdot, the tech news and discussion site that by 1999 had implemented a number of recommendation features now associated with social media and web 2.0 platforms. Specifically, I aim to understand the connection between the development of Slashdot’s influential content-management system (CMS) - an elaborate publishing infrastructure called “Slash” that allowed editors to choose reader submissions for publication and automatically distributed the work of moderating the comments sections among trusted users - and two distinct visions of a web-enabled transformation of media production.

Collaborative news networks : distributed editing, collective action, and the construction of online news on Slashdot.org

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Comparative Media Studies, 2002.Includes bibliographical references.The growth and spread of the Internet have generated new possibilities for public participation with news content, forcing news scholars and makers alike to confront a number of questions about what the nature, role and function of news, journalists, and audiences are in a networked society. If news gathering, reporting, and circulation had existed for generations as a largely centralized process, left to the minds and hands of reporters organized through news rooms across the nation, the environment of the Internet and interactive properties of new media counter such a model, affording users with as much capacity to produce their own news content as they have had to merely consume it. This thesis, then, seeks to contribute to scholarship on online journalism through an ethnographic study of the five-year-old, technology-centered news site Slashdot.org as an emerging model of online news production and distribution I call a collaborative new network. Embodying a pronounced case of the decentralization of editorial control in online news environments, Slashdot's collaborative news network operates through an inscription of users as the primary producers of news content; an expansion of an understanding of the site of news to include not just journalistic reports and articles, but the discussion by users around them; debate around issues of editorial authority; a valuation of subjectivity and transparency as properties of news; and the generation of user-driven forms of collective action whose effects extend beyond the environment of Slashdot's network. This study will focus, then, on an examination of the social practices and processes surrounding the production, consumption and distribution of news on Slashdot, and the meanings that are generated through such activities. Through such an analysis, I hope to explore how practices enacted on Slashdot (re)construct users' relationship to news, editors, and one another - and similarly investigate how it (re)constructs editors relationship to news, readers, and one another.by Anita J. Chan.S.M

Characterization and Detection of Malicious Behavior on the Web

Web platforms enable unprecedented speed and ease in transmission of knowledge, and allow users to communicate and shape opinions. However, the safety, usability and reliability of these platforms is compromised by the prevalence of online malicious behavior -- for example 40% of users have experienced online harassment. This is present in the form of malicious users, such as trolls, sockpuppets and vandals, and misinformation, such as hoaxes and fraudulent reviews. This thesis presents research spanning two aspects of malicious behavior: characterization of their behavioral properties, and development of algorithms and models for detecting them. We characterize the behavior of malicious users and misinformation in terms of their activity, temporal frequency of actions, network connections to other entities, linguistic properties of how they write, and community feedback received from others. We find several striking characteristics of malicious behavior that are very distinct from those of benign behavior. For instance, we find that vandals and fraudulent reviewers are faster in their actions compared to benign editors and reviewers, respectively. Hoax articles are long pieces of plain text that are less coherent and created by more recent editors, compared to non-hoax articles. We find that sockpuppets are created that vary in their deceptiveness (i.e., whether they pretend to be different users) and their supportiveness (i.e., if they support arguments of other sockpuppets controlled by the same user). We create a suite of feature based and graph based algorithms to efficiently detect malicious from benign behavior. We first create the first vandal early warning system that accurately predicts vandals using very few edits. Next, based on the properties of Wikipedia articles, we develop a supervised machine learning classifier to predict whether an article is a hoax, and another that predicts whether a pair of accounts belongs to the same user, both with very high accuracy. We develop a graph-based decluttering algorithm that iteratively removes suspicious edges that malicious users use to masquerade as benign users, which outperforms existing graph algorithms to detect trolls. And finally, we develop an efficient graph-based algorithm to assess the fairness of all reviewers, reliability of all ratings, and goodness of all products, simultaneously, in a rating network, and incorporate penalties for suspicious behavior. Overall, in this thesis, we develop a suite of five models and algorithms to accurately identify and predict several distinct types of malicious behavior -- namely, vandals, hoaxes, sockpuppets, trolls and fraudulent reviewers -- in multiple web platforms. The analysis leading to the algorithms develops an interpretable understanding of malicious behavior on the web

Online News and Changing Models of Journalism

The move to Internet news publishing is the latest in a series of technological shifts which have required journalists not merely to adapt their daily practice but which have also – at least in the view of some – recast their role in society. For over a decade, proponents of the networked society as a new way of life have argued that responsibility for news selection and production will shift from publishers, editors and reporters to individual consumers

Exploring the Role of Social Community Within an E-Marketplace

Marketplaces have provided a meeting place for communities to socialise, exchange information and transact business for many centuries. It is perhaps a natural progression that the inclusion of social network facilities should be an intrinsic part of e-marketplace development. This exploratory study examines the concept of designing social features into an e-marketplace by considering the needs of online community members. Using TradeMe, a New Zealand horizontal intermediary e-marketplace, as an illustrative case study it was found that the use of an online community to encourage information flow, reciprocity and trust has resulted in a vibrant, successful business model. Further research is required to investigate the viability of the community model beyond the case illustrated

The Dissemination of Scholarly Information: Old Approaches and New Possibilities

Current methods of disseminating scholarly information focus on the use of journals who retain exclusive rights in the material they publish. Using a simple model we explore the reasons for the development of the traditional journal model, why it is no longer efficient and how it could be improved upon. One of our main aims is to go beyond the basic question of distribution (access) to that of filtering, i.e. the process of matching information with the scholars who want it. With the volume of information production ever growing - and attention ever more scarce - filtering is becoming crucial and digital technology offers the possibility of radical innovation in this area. In particular, distribution and filtering can be separated allowing filtering to be made open and decentralized. This would promises to deliver dramatic increases in transparency and efficiency as well as greatly increased innovation in related product, processes and services