Social and interactional practices for disseminating current awareness information in an organisational setting.

Current awareness services are designed to keep users informed about recent developments based around user need profiles. In organisational settings, they may operate through both electronic and social interactions aimed at delivering information that is relevant, pertinent and current. Understanding these interactions can reveal the tensions in current awareness dissemination and help inform ways of making services more effective and efficient. We report an in-depth, observational study of electronic current awareness use within a large London law firm. The study found that selection, re-aggregation and forwarding of information by multiple actors gives rise to a complex sociotechnical distribution network. Knowledge management staff act as a layer of “intelligent filters” sensitive to complex, local information needs; their distribution decisions address multiple situational relevance factors in a situation fraught with information overload and restrictive time-pressures. Their decisions aim to optimise conflicting constraints of recall, precision and information quantity. Critical to this is the use of dynamic profile updates which propagate back through the network through formal and informal social interactions. This supports changes to situational relevance judgements and so allows the network to ‘self-tune’. These findings lead to design requirements, including that systems should support rapid assessment of information items against an individual’s interests; that it should be possible to organise information for different subsequent uses; and that there should be back-propagation from information consumers to providers, to tune the understanding of their information needs

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

Telling the market story through organic information interaction design and broadcast media : submitted to the College of Creative Arts as requirement for the degree of Master of Design, Massey University, Wellington, New Zealand, 2007

Interaction Design, which is essentially story-creating and telling, is at once both and ancient art and a new technology. Media have always effected the telling of stories and the creation of experiences. (Shedroff, N., 1994, p. 2) Advances with visual representations within broadcast design have been applied to areas such as weather simulations, sporting events, and historical reconstruction's. However, financial market information presentation is fairly uniform in television news broadcasting, showing little progression in pace with other news information catego­ries. While stock market news segments make limited use of supporting graphics, addi­ tional information that may assist the viewer is filtered out, effecting viewers interest, understanding and decision making process often associated with market related stories. Research to date has been limited to single visualisations. There has been little re­search into the use of multiple information views that are composed to support news presentations. People use many different information sources on a daily basis. News sources are used to stay informed about events, to some sources, viewer evaluation of informa­tion is a part of that process. News information and other data commodity sources are now more accessible, allowing designers to look at ways of transforming them into new or improved information services. This research explores the display of stock market information by looking at ap­propriate media delivery methods combined with Organic Information Interaction Design to enhance information relationships. Organic Design and Information Inter­action Design 1 principles are combined. This denotes a 'living' relationship between elements, incorporating hierarchy principles with enhanced information delivery and user experiences. Four themes are tied together through the use of a conceptual prototype. [FROM INTRO

BlogForever D2.6: Data Extraction Methodology

This report outlines an inquiry into the area of web data extraction, conducted within the context of blog preservation. The report reviews theoretical advances and practical developments for implementing data extraction. The inquiry is extended through an experiment that demonstrates the effectiveness and feasibility of implementing some of the suggested approaches. More specifically, the report discusses an approach based on unsupervised machine learning that employs the RSS feeds and HTML representations of blogs. It outlines the possibilities of extracting semantics available in blogs and demonstrates the benefits of exploiting available standards such as microformats and microdata. The report proceeds to propose a methodology for extracting and processing blog data to further inform the design and development of the BlogForever platform

Search Bias Quantification: Investigating Political Bias in Social Media and Web Search

Users frequently use search systems on the Web as well as online social media to learn about ongoing events and public opinion on personalities. Prior studies have shown that the top-ranked results returned by these search engines can shape user opinion about the topic (e.g., event or person) being searched. In case of polarizing topics like politics, where multiple competing perspectives exist, the political bias in the top search results can play a significant role in shaping public opinion towards (or away from) certain perspectives. Given the considerable impact that search bias can have on the user, we propose a generalizable search bias quantification framework that not only measures the political bias in ranked list output by the search system but also decouples the bias introduced by the different sources—input data and ranking system. We apply our framework to study the political bias in searches related to 2016 US Presidential primaries in Twitter social media search and find that both input data and ranking system matter in determining the final search output bias seen by the users. And finally, we use the framework to compare the relative bias for two popular search systems—Twitter social media search and Google web search—for queries related to politicians and political events. We end by discussing some potential solutions to signal the bias in the search results to make the users more aware of them.publishe

UTILIZATION OF SOCIAL MEDIA SERVICES FOR CURRENT AWARENESS PROVISON TO REGISTERED USERS OF FEDERAL UNIVERSITY LIBRARY, LAFIA

This study was carried out to investigate the acceptance and use of SMS for Current awareness Services provision in Federal University Library, Lafia, Nasarawa State. To achieve the objectives of the study, four research questions were raised and answered in the study to include; What services are provided by the Federal University Library, Lafia, Nasarawa State?, What forms of Current Awareness services are used in the library?, What are the challenges of providing current awareness services in Federal University Library, Lafia, Nasarawa State?, In what ways could SMS be used in providing current awareness services in Federal University Library, Lafia, Nasarawa State?, Literatures were reviewed under the following subheadings: Services of Academic Libraries, Current Awareness services in Libraries, types of SMS use in the library. Survey Research Method was adopted for the study and 200 respondents were sampled for the study. Questionnaire was used to collect data for the study. It was discovered that services in the library are not adequate as users are virtually left to fend for themselves in the library. The study also revealed that the major forms of CAS offered by FUL Lafia are Notice boards and the Library Website. Many users of the Library do not visit the Library Website. author recommended In-house trainings be regular in aspects of the utilization of ICTs to Library routines, to be organized by the ICT Section of the Library. Research should be encouraged in the aspect of utilization of ICTs in the Library