Search (240 results, page 1 of 12)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Internet"
  1. Schultz, S.: ¬Die eine App für alles : Mobile Zukunft in China (2016) 0.04 
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    Date
    22. 6.2018 14:22:02
    Source
    http://www.spiegel.de/wirtschaft/unternehmen/messenger-apps-wie-china-die-mobile-zukunft-erfindet-a-1071815.html
  2. Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016) 0.03 
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    Date
    19. 1.2019 17:42:22
    Source
    Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
    Type
    a
  3. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.03 
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    Date
    22. 6.2018 14:29:46
    Type
    a
  4. Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016) 0.03 
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    Abstract
    All text is ephemeral. Some texts are more ephemeral than others. The web has proved to be among the most ephemeral and changing of information vehicles. The research note revisits Koehler's original data set after about 20 years since it was first collected. By late 2013, the number of URLs responding to a query had fallen to 1.6% of the original sample. A query of the 6 remaining URLs in February 2015 showed only 2 still responding.
    Date
    22. 1.2016 14:37:14
    Type
    a
  5. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.03 
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    Abstract
    This paper introduces a project to develop a reliable, cost-effective method for classifying Internet texts into register categories, and apply that approach to the analysis of a large corpus of web documents. To date, the project has proceeded in 2 key phases. First, we developed a bottom-up method for web register classification, asking end users of the web to utilize a decision-tree survey to code relevant situational characteristics of web documents, resulting in a bottom-up identification of register and subregister categories. We present details regarding the development and testing of this method through a series of 10 pilot studies. Then, in the second phase of our project we applied this procedure to a corpus of 53,000 web documents. An analysis of the results demonstrates the effectiveness of these methods for web register classification and provides a preliminary description of the types and distribution of registers on the web.
    Date
    4. 8.2015 19:22:04
    Type
    a
  6. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.02 
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    Abstract
    Hundreds of scholarly studies have investigated various aspects of Wikipedia. Although a number of literature reviews have provided overviews of this vast body of research, none has specifically focused on the readers of Wikipedia and issues concerning its readership. In this systematic literature review, we review 99 studies to synthesize current knowledge regarding the readership of Wikipedia and provide an analysis of research methods employed. The scholarly research has found that Wikipedia is popular not only for lighter topics such as entertainment but also for more serious topics such as health and legal information. Scholars, librarians, and students are common users, and Wikipedia provides a unique opportunity for educating students in digital literacy. We conclude with a summary of key findings, implications for researchers, and implications for the Wikipedia community.
    Date
    18.11.2014 13:22:03
    Type
    a
  7. Arbelaitz, O.; Martínez-Otzeta. J.M.; Muguerza, J.: User modeling in a social network for cognitively disabled people (2016) 0.02 
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    Abstract
    Online communities are becoming an important tool in the communication and participation processes in our society. However, the most widespread applications are difficult to use for people with disabilities, or may involve some risks if no previous training has been undertaken. This work describes a novel social network for cognitively disabled people along with a clustering-based method for modeling activity and socialization processes of its users in a noninvasive way. This closed social network is specifically designed for people with cognitive disabilities, called Guremintza, that provides the network administrators (e.g., social workers) with two types of reports: summary statistics of the network usage and behavior patterns discovered by a data mining process. Experiments made in an initial stage of the network show that the discovered patterns are meaningful to the social workers and they find them useful in monitoring the progress of the users.
    Date
    22. 1.2016 12:02:26
    Type
    a
  8. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.02 
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    Abstract
    The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 events, determined by a measure of relative increase in (general) term usage, the results give strong evidence that popular events are normally associated with increases in negative sentiment strength and some evidence that peaks of interest in events have stronger positive sentiment than the time before the peak. It seems that many positive events, such as the Oscars, are capable of generating increased negative sentiment in reaction to them. Nevertheless, the surprisingly small average change in sentiment associated with popular events (typically 1% and only 6% for Tiger Woods' confessions) is consistent with events affording posters opportunities to satisfy pre-existing personal goals more often than eliciting instinctive reactions.
    Date
    22. 1.2011 14:27:06
    Type
    a
  9. Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016) 0.02 
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    Abstract
    Recent work by Evans, Cordova, and Sipole (2014) reveals that in the two months leading up to the 2012 election, female House candidates used the social media site Twitter more often than male candidates. Not only did female candidates tweet more often, but they also spent more time attacking their opponents and discussing important issues in American politics. In this article, we examine whether the female winners of those races acted differently than the male winners in the 2012 election, and whether they differed in their tweeting-style during two months in the summer of 2013. Using a hand-coded content analysis of every tweet from each member in the U.S. House of Representatives in June and July of 2013, we show that women differ from their male colleagues in their frequency and type of tweeting, and note some key differences between the period during the election and the period after. This article suggests that context greatly affects representatives' Twitter-style.
    Date
    22. 1.2016 11:51:19
    Type
    a
  10. Bhatia, S.; Biyani, P.; Mitra, P.: Identifying the role of individual user messages in an online discussion and its use in thread retrieval (2016) 0.02 
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    Abstract
    Online discussion forums have become a popular medium for users to discuss with and seek information from other users having similar interests. A typical discussion thread consists of a sequence of posts posted by multiple users. Each post in a thread serves a different purpose providing different types of information and, thus, may not be equally useful for all applications. Identifying the purpose and nature of each post in a discussion thread is thus an interesting research problem as it can help in improving information extraction and intelligent assistance techniques. We study the problem of classifying a given post as per its purpose in the discussion thread and employ features based on the post's content, structure of the thread, behavior of the participating users, and sentiment analysis of the post's content. We evaluate our approach on two forum data sets belonging to different genres and achieve strong classification performance. We also analyze the relative importance of different features used for the post classification task. Next, as a use case, we describe how the post class information can help in thread retrieval by incorporating this information in a state-of-the-art thread retrieval model.
    Date
    22. 1.2016 11:50:46
    Type
    a
  11. Dalip, D.H.; Gonçalves, M.A.; Cristo, M.; Calado, P.: ¬A general multiview framework for assessing the quality of collaboratively created content on web 2.0 (2017) 0.02 
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    Abstract
    User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaboratively generated content. Quality is addressed as a multidimensional concept, modeled as a combination of independent assessments, each regarding different quality dimensions. Accordingly, we adopt a machine-learning (ML)-based multiview approach to assess content quality. We perform a thorough analysis of our framework on two different domains: Questions and Answer Forums and Collaborative Encyclopedias. This allowed us to better understand when and how the proposed multiview approach is able to provide accurate quality assessments. Our main contributions are: (a) a general ML multiview framework that takes advantage of different views of quality indicators; (b) the improvement (up to 30%) in quality assessment over the best state-of-the-art baseline methods; (c) a thorough feature and view analysis regarding impact, informativeness, and correlation, based on two distinct domains.
    Date
    16.11.2017 13:04:22
    Type
    a
  12. Hartmann, B.: Ab ins MoMA : zum virtuellen Museumsgang (2011) 0.02 
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    Date
    3. 5.1997 8:44:22
    Type
    a
  13. Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011) 0.02 
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    Abstract
    Webcasting systems were developed to provide remote access in real-time to live events. Today, these systems have an additional requirement: to accommodate the "second life" of webcasts as archival information objects. Research to date has focused on facilitating the production and storage of webcasts as well as the development of more interactive and collaborative multimedia tools to support the event, but research has not examined how people interact with a webcasting system to access and use the contents of those archived events. Using an experimental design, this study examined how 16 typical users interact with a webcasting system to respond to a set of information tasks: selecting a webcast, searching for specific information, and making a gist of a webcast. Using several data sources that included user actions, user perceptions, and user explanations of their actions and decisions, the study also examined the strategies employed to complete the tasks. The results revealed distinctive system-use patterns for each task and provided insights into the types of tools needed to make webcasting systems better suited for also using the webcasts as information objects.
    Date
    22. 1.2011 14:16:14
    Type
    a
  14. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.02 
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    Abstract
    Political sentiment analysis using social media, especially Twitter, has attracted wide interest in recent years. In such research, opinions about politicians are typically divided into positive, negative, or neutral. In our research, the goal is to mine political opinion from social media at a higher resolution by assessing statements of opinion related to the personality traits of politicians; this is an angle that has not yet been considered in social media research. A second goal is to contribute a novel retrieval-based approach for tracking public perception of personality using Gough and Heilbrun's Adjective Check List (ACL) of 110 terms describing key traits. This is in contrast to the typical lexical and machine-learning approaches used in sentiment analysis. High-precision search templates developed from the ACL were run on an 18-month span of Twitter posts mentioning Obama and Romney and these retrieved more than half a million tweets. For example, the results indicated that Romney was perceived as more of an achiever and Obama was perceived as somewhat more friendly. The traits were also aggregated into 14 broad personality dimensions. For example, Obama rated far higher than Romney on the Moderation dimension and lower on the Machiavellianism dimension. The temporal variability of such perceptions was explored.
    Date
    22. 1.2016 11:25:47
    Type
    a
  15. Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014) 0.02 
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    Abstract
    Purpose - The purpose of this paper is to engage in a systematic analysis of academic research that relies on the collection and use of Twitter data, creating topology of Twitter research that details the disciplines and methods of analysis, amount of tweets and users under analysis, the methods used to collect Twitter data, and accounts of ethical considerations related to these projects. Design/methodology/approach - Content analysis of 382 academic publications from 2006 to 2012 that used Twitter as their primary platform for data collection and analysis. Findings - The analysis of over 380 scholarly publications utilizing Twitter data reveals noteworthy trends related to the growth of Twitter-based research overall, the disciplines engaged in such research, the methods of acquiring Twitter data for analysis, and emerging ethical considerations of such research. Research limitations/implications - The findings provide a benchmark analysis that must be updated with the continued growth of Twitter-based research. Originality/value - The research is the first full-text systematic analysis of Twitter-based research projects, focussing on the growth in discipline and methods as well as its ethical implications. It is of value for the broader research community currently engaged in social media-based research, and will prompt reflexive evaluation of what research is occurring, how it is occurring, what is being done with Twitter data, and how researchers are addressing the ethics of Twitter-based research.
    Date
    20. 1.2015 18:30:22
    Type
    a
  16. Bünte, O.: Bundesdatenschutzbeauftragte bezweifelt Facebooks Datenschutzversprechen (2018) 0.02 
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    Date
    23. 3.2018 13:41:22
    Footnote
    Vgl. zum Hintergrund auch: https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election; https://www.nytimes.com/2018/03/18/us/cambridge-analytica-facebook-privacy-data.html; http://www.latimes.com/business/la-fi-tn-facebook-cambridge-analytica-sued-20180321-story.html; https://www.tagesschau.de/wirtschaft/facebook-cambridge-analytica-103.html; http://www.spiegel.de/netzwelt/web/cambridge-analytica-der-eigentliche-skandal-liegt-im-system-facebook-kolumne-a-1199122.html; http://www.spiegel.de/netzwelt/netzpolitik/cambridge-analytica-facebook-sieht-sich-im-datenskandal-als-opfer-a-1199095.html; https://www.heise.de/newsticker/meldung/Datenskandal-um-Cambridge-Analytica-Facebook-sieht-sich-als-Opfer-3999922.html.
    Type
    a
  17. Joint, N.: Web 2.0 and the library : a transformational technology? (2010) 0.02 
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    Abstract
    Purpose - This paper is the final one in a series which has tried to give an overview of so-called transformational areas of digital library technology. The aim has been to assess how much real transformation these applications can bring about, in terms of creating genuine user benefit and also changing everyday library practice. Design/methodology/approach - The paper provides a summary of some of the legal and ethical issues associated with web 2.0 applications in libraries, associated with a brief retrospective view of some relevant literature. Findings - Although web 2.0 innovations have had a massive impact on the larger World Wide Web, the practical impact on library service delivery has been limited to date. What probably can be termed transformational in the effect of web 2.0 developments on library and information work is their effect on some underlying principles of professional practice. Research limitations/implications - The legal and ethical challenges of incorporating web 2.0 platforms into mainstream institutional service delivery need to be subject to further research, so that the risks associated with these innovations are better understood at the strategic and policy-making level. Practical implications - This paper makes some recommendations about new principles of library and information practice which will help practitioners make better sense of these innovations in their overall information environment. Social implications - The paper puts in context some of the more problematic social impacts of web 2.0 innovations, without denying the undeniable positive contribution of social networking to the sphere of human interactivity. Originality/value - This paper raises some cautionary points about web 2.0 applications without adopting a precautionary approach of total prohibition. However, none of the suggestions or analysis in this piece should be considered to constitute legal advice. If such advice is required, the reader should consult appropriate legal professionals.
    Date
    22. 1.2011 17:54:04
    Type
    a
  18. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.02 
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    Abstract
    Purpose - The purpose of this paper is to get a first approximation of the usefulness of online forums with regard to information seeking and knowledge generation. Design/methodology/approach - This study captures the characteristics of knowledge generation by examining the pragmatics and types of information needs of posted questions and by investigating knowledge related characteristics of discussion posts as well as the success of communication. Three online forums were examined. The data set consists of 55 threads, containing 533 posts which were categorized manually by two researchers. Findings - Results show that questioners often ask for personal estimations. Information needs often aim for actionable insights or uncertainty reduction. With regard to answers, factual information is the dominant content type and has the highest knowledge value as it is the strongest predictor with regard to the generation of new knowledge. Opinions are also relevant, but in a rather subsequent and complementary way. Emotional aspects are scarcely observed. Overall, results indicate that knowledge creation predominantly follows a socio-cultural paradigm of knowledge exchange. Research limitations/implications - Although the investigation captures important aspects of knowledge building processes, the measurement of the forums' knowledge value is still rather limited. Success is only partly measurable with the current scheme. The central coding category "new topical knowledge" is only of nominal value and therefore not able to compare different kinds of knowledge gains in the course of discussion. Originality/value - The investigation reaches out beyond studies that do not consider that the role and relevance of posts is dependent on the state of the discussion. Furthermore, the paper integrates two perspectives of knowledge value: the success of the questioner with regard to the expressed information need and the knowledge building value for communicants and readers.
    Date
    20. 1.2015 18:30:22
    Type
    a
  19. Jamali, H.R.; Shahbaztabar, P.: ¬The effects of internet filtering on users' information-seeking behaviour and emotions (2017) 0.02 
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    Abstract
    Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users' access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.
    Date
    20. 1.2015 18:30:22
    Type
    a
  20. Kaeser, E.: ¬Das postfaktische Zeitalter (2016) 0.01 
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    Content
    "Es gibt Daten, Informationen und Fakten. Wenn man mir eine Zahlenreihe vorsetzt, dann handelt es sich um Daten: unterscheidbare Einheiten, im Fachjargon: Items. Wenn man mir sagt, dass diese Items stündliche Temperaturangaben der Aare im Berner Marzilibad bedeuten, dann verfüge ich über Information - über interpretierte Daten. Wenn man mir sagt, dies seien die gemessenen Aaretemperaturen am 22. August 2016 im Marzili, dann ist das ein Faktum: empirisch geprüfte interpretierte Daten. Dieser Dreischritt - Unterscheiden, Interpretieren, Prüfen - bildet quasi das Bindemittel des Faktischen, «the matter of fact». Wir alle führen den Dreischritt ständig aus und gelangen so zu einem relativ verlässlichen Wissen und Urteilsvermögen betreffend die Dinge des Alltags. Aber wie schon die Kurzcharakterisierung durchblicken lässt, bilden Fakten nicht den Felsengrund der Realität. Sie sind kritikanfällig, sowohl von der Interpretation wie auch von der Prüfung her gesehen. Um bei unserem Beispiel zu bleiben: Es kann durchaus sein, dass man uns zwei unterschiedliche «faktische» Temperaturverläufe der Aare am 22. August 2016 vorsetzt.
    Type
    a

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