Where People Get Information About Restaurants and Other Local Businesses

Presents survey findings about the demographics and technology profiles of those who seek information about restaurants, bars, and local businesses and their sources of information, including the Internet, newspapers, word of mouth, and local television

Exploring social gambling: scoping, classification and evidence review

The aim of this report is to speculate on the level of concern we might have regarding consumer risk in relation to ‘social gambling.’ In doing so, this report is intended to help form the basis to initiate debate around a new and under-researched social issue; assist in setting a scientific research agenda; and, where appropriate, highlight concerns about any potential areas that need to be considered in terms of precautionary regulation. This report does not present a set of empirical research findings regarding ‘social gambling’ but rather gathers information to improve stakeholder understanding

Digital Differences

Examines 2000-11 trends in Internet use, high-speed broadband access, methods of accessing the Internet, and online and mobile activities by gender, race/ethnicity, age, income, education, and disability status, as well as reasons for not going online

The Evolution of American Microtargeting: An Examination of Trends in Political Messaging

The usage of targeted messaging by political campaigns has seen a drastic evolution over the past half-century. Through advancement in campaign technology, and an increasingly large amount of personal information up for sale, campaigns have continually narrowed their scope from targeting large demographic groups to targeting each voter individually through a process called microtargeting. This presentation examines both the history of microtargeting in American politics, and the potential effects of its utilization

Ethics, Logs and Videotape: Ethics in Large Scale User Trials and User Generated Content. Workshop organized at CHI'11.

Mobile Life CentreMobile 2.

Locational wireless and social media-based surveillance

The number of smartphones and tablets as well as the volume of traffic generated by these devices has been growing constantly over the past decade and this growth is predicted to continue at an increasing rate over the next five years. Numerous native features built into contemporary smart devices enable highly accurate digital fingerprinting techniques. Furthermore, software developers have been taking advantage of locational capabilities of these devices by building applications and social media services that enable convenient sharing of information tied to geographical locations. Mass online sharing resulted in a large volume of locational and personal data being publicly available for extraction. A number of researchers have used this opportunity to design and build tools for a variety of uses – both respectable and nefarious. Furthermore, due to the peculiarities of the IEEE 802.11 specification, wireless-enabled smart devices disclose a number of attributes, which can be observed via passive monitoring. These attributes coupled with the information that can be extracted using social media APIs present an opportunity for research into locational surveillance, device fingerprinting and device user identification techniques. This paper presents an in-progress research study and details the findings to date

Social media analytics: a survey of techniques, tools and platforms

This paper is written for (social science) researchers seeking to analyze the wealth of social media now available. It presents a comprehensive review of software tools for social networking media, wikis, really simple syndication feeds, blogs, newsgroups, chat and news feeds. For completeness, it also includes introductions to social media scraping, storage, data cleaning and sentiment analysis. Although principally a review, the paper also provides a methodology and a critique of social media tools. Analyzing social media, in particular Twitter feeds for sentiment analysis, has become a major research and business activity due to the availability of web-based application programming interfaces (APIs) provided by Twitter, Facebook and News services. This has led to an ‘explosion’ of data services, software tools for scraping and analysis and social media analytics platforms. It is also a research area undergoing rapid change and evolution due to commercial pressures and the potential for using social media data for computational (social science) research. Using a simple taxonomy, this paper provides a review of leading software tools and how to use them to scrape, cleanse and analyze the spectrum of social media. In addition, it discussed the requirement of an experimental computational environment for social media research and presents as an illustration the system architecture of a social media (analytics) platform built by University College London. The principal contribution of this paper is to provide an overview (including code fragments) for scientists seeking to utilize social media scraping and analytics either in their research or business. The data retrieval techniques that are presented in this paper are valid at the time of writing this paper (June 2014), but they are subject to change since social media data scraping APIs are rapidly changing

Determining citizens’ opinions about stories in the news media: analysing Google, Facebook and Twitter

We describe a method whereby a governmental policy maker can discover citizens’ reaction to news stories. This is particularly relevant in the political world, where governments’ policy statements are reported by the news media and discussed by citizens. The work here addresses two main questions: whereabouts are citizens discussing a news story, and what are they saying? Our strategy to answer the first question is to find news articles pertaining to the policy statements, then perform internet searches for references to the news articles’ headlines and URLs. We have created a software tool that schedules repeating Google searches for the news articles and collects the results in a database, enabling the user to aggregate and analyse them to produce ranked tables of sites that reference the news articles. Using data mining techniques we can analyse data so that resultant ranking reflects an overall aggregate score, taking into account multiple datasets, and this shows the most relevant places on the internet where the story is discussed. To answer the second question, we introduce the WeGov toolbox as a tool for analysing citizens’ comments and behaviour pertaining to news stories. We first use the tool for identifying social network discussions, using different strategies for Facebook and Twitter. We apply different analysis components to analyse the data to distil the essence of the social network users’ comments, to determine influential users and identify important comments

Who actually wants to use ‘the killer app’? Perceptions of location based services in the young and old

This paper describes the results of two qualitative case studies that assessed the perceptions of Location Based Services (LBS) with two UK user groups: a family with a behaviour-disordered teenager, and a group of older adults. The family (n=2) and older adults (n=13) were interviewed individually after experiencing LBS. The data from the interviews were thematically analysed with the aid of Nvivo software, and organised into themes to better understand attitudes towards LBS technology. Whilst both groups had the opportunity to use, adapt to and experience LBS, perceptions of ‘cool’ and ‘trendiness’ affected judgments of it, and their subsequent usage intentions. The family adopted the LBS system fully, with the device aiding navigation, and ultimately developing trust. Their teenage son also embraced the technology, aided in part by the unobtrusive and ‘trendy’ nature of the mobile phone the LBS was deployed on. In contrast, the older adults felt that LBS could not assist them in any way, and were concerned about the potential for invasions of privacy. This work highlights clear generational differences in the acceptance of LBS, and suggests consideration is needed for the future design of LBS to ensure suitability for the user