Computational Controversy

Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.Comment: In Proceedings of the 9th International Conference on Social Informatics (SocInfo) 201

Identifying idiolect in forensic authorship attribution: an n-gram textbite approach

Forensic authorship attribution is concerned with identifying authors of disputed or anonymous documents, which are potentially evidential in legal cases, through the analysis of linguistic clues left behind by writers. The forensic linguist “approaches this problem of questioned authorship from the theoretical position that every native speaker has their own distinct and individual version of the language [. . . ], their own idiolect” (Coulthard, 2004: 31). However, given the diXculty in empirically substantiating a theory of idiolect, there is growing concern in the Veld that it remains too abstract to be of practical use (Kredens, 2002; Grant, 2010; Turell, 2010). Stylistic, corpus, and computational approaches to text, however, are able to identify repeated collocational patterns, or n-grams, two to six word chunks of language, similar to the popular notion of soundbites: small segments of no more than a few seconds of speech that journalists are able to recognise as having news value and which characterise the important moments of talk. The soundbite oUers an intriguing parallel for authorship attribution studies, with the following question arising: looking at any set of texts by any author, is it possible to identify ‘n-gram textbites’, small textual segments that characterise that author’s writing, providing DNA-like chunks of identifying material

The Prosecutor and the Press: Lessons (Not) Learned from the Mike Nifong Debacle

Current projections indicate that by 2050, two in every three people will live in urban areas, and that cities will accommodate 3 billion people during this period. Cities are consuming three-quarters of the world's energy and causing three-quarters of global pollution. To reduce these impacts, new technologies have been considered in the development of smart sustainable cities, but technology has not always favoured the idea of sustainable consumption. To address this issue, we have aimed to focus on identifying the role of sustainable consumption within implementations of smart cities’ projects across Europe. We have selected a set of smart city projects in 76 cities in Europe from CONCERTO initiatives, Mapping Smart Cities in Europe, Energy Study for the Stockholm Region and Joint European Support for Sustainable Investment in City Areas and classified them according to: smart governance, smart mobility, smart living, smart environment, smart citizens and smart economy. Furthermore, we established a number of categories for the classification of the evaluated projects based on their relevance to sustainable consumption, and considered several solutions for the integration of sustainable consumption in smart sustainable cities. The results show that in 18.9% of the projects, sustainable consumption is not relevant at all. The second classification shows the percentage of the remaining categories where sustainable consumption is relevant; 8.3% consider sustainable consumption as relevant even though it was not implemented in the project. These cities aim to achieve a higher level of sustainable consumption, which is expected to be included in future projects. If they keep themselves in this category, their behavioural consumption patterns will not change and the impact of citizens on the cities will remain the same. The majority of the projects, 54.2%, implemented technology to reduce consumption but if the projects do not coincide with the behaviour of citizens, a big rebound effect will occur. 37.5% of the projects consider relevant sustainable consumption to its full potential and this can change citizen’s behaviour. In conclusion, sustainable consumption is relevant in most of the projects analysed, with new technologies available to help energy savings and reduction of our consumption. However, if there is a lack of smart consumption from the citizens, the technologies available might not be sufficient and consumption could increase. One quarter of the analysed smart cities projects still do not consider the consumption behaviour of the citizens. This can be changed through campaigns and explanations targeting the population on how to manage and reduce energy and resource consumption. To reduce the negative impact of the cities’ growth, projects considering smart sustainable cities need to integrate sustainable consumption policies that account for citizens' behaviour

Online Misinformation: Challenges and Future Directions

Misinformation has become a common part of our digital media environments and it is compromising the ability of our societies to form informed opinions. It generates misperceptions, which have affected the decision making processes in many domains, including economy, health, environment, and elections, among others. Misinformation and its generation, propagation, impact, and management is being studied through a variety of lenses (computer science, social science, journalism, psychology, etc.) since it widely affects multiple aspects of society. In this paper we analyse the phenomenon of misinformation from a technological point of view.We study the current socio-technical advancements towards addressing the problem, identify some of the key limitations of current technologies, and propose some ideas to target such limitations. The goal of this position paper is to reflect on the current state of the art and to stimulate discussions on the future design and development of algorithms, methodologies, and applications

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns

Given the extremely large pool of events and stories available, media outlets need to focus on a subset of issues and aspects to convey to their audience. Outlets are often accused of exhibiting a systematic bias in this selection process, with different outlets portraying different versions of reality. However, in the absence of objective measures and empirical evidence, the direction and extent of systematicity remains widely disputed. In this paper we propose a framework based on quoting patterns for quantifying and characterizing the degree to which media outlets exhibit systematic bias. We apply this framework to a massive dataset of news articles spanning the six years of Obama's presidency and all of his speeches, and reveal that a systematic pattern does indeed emerge from the outlet's quoting behavior. Moreover, we show that this pattern can be successfully exploited in an unsupervised prediction setting, to determine which new quotes an outlet will select to broadcast. By encoding bias patterns in a low-rank space we provide an analysis of the structure of political media coverage. This reveals a latent media bias space that aligns surprisingly well with political ideology and outlet type. A linguistic analysis exposes striking differences across these latent dimensions, showing how the different types of media outlets portray different realities even when reporting on the same events. For example, outlets mapped to the mainstream conservative side of the latent space focus on quotes that portray a presidential persona disproportionately characterized by negativity.Comment: To appear in the Proceedings of WWW 2015. 11pp, 10 fig. Interactive visualization, data, and other info available at http://snap.stanford.edu/quotus

The most controversial topics in Wikipedia: A multilingual and geographical analysis

We present, visualize and analyse the similarities and differences between the controversial topics related to "edit wars" identified in 10 different language versions of Wikipedia. After a brief review of the related work we describe the methods developed to locate, measure, and categorize the controversial topics in the different languages. Visualizations of the degree of overlap between the top 100 lists of most controversial articles in different languages and the content related to geographical locations will be presented. We discuss what the presented analysis and visualizations can tell us about the multicultural aspects of Wikipedia and practices of peer-production. Our results indicate that Wikipedia is more than just an encyclopaedia; it is also a window into convergent and divergent social-spatial priorities, interests and preferences.Comment: This is a draft of a book chapter to be published in 2014 by Scarecrow Press. Please cite as: Yasseri T., Spoerri A., Graham M., and Kert\'esz J., The most controversial topics in Wikipedia: A multilingual and geographical analysis. In: Fichman P., Hara N., editors, Global Wikipedia:International and cross-cultural issues in online collaboration. Scarecrow Press (2014

When Technology Makes Headlines: The Media's Double Vision About the Digital Age

Analyzes technology-related news items appearing in lead sections of mainstream media for trends in popular topics, companies, and messages about technology's influence and its risks. Compares findings with trends in new media such as blogs and Twitter