Search (43 results, page 1 of 3)

  • × theme_ss:"Internet"
  • × year_i:[2010 TO 2020}
  1. Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011) 0.04 
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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
  2. Schultz, S.: ¬Die eine App für alles : Mobile Zukunft in China (2016) 0.02 
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    Date
    22. 6.2018 14:22:02
  3. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01 
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    Date
    22. 6.2018 14:29:46
  4. Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016) 0.01 
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    Date
    19. 1.2019 17:42:22
  5. Naaman, M.; Becker, H.; Gravano, L.: Hip and trendy : characterizing emerging trends on Twitter (2011) 0.01 
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    Abstract
    Twitter, Facebook, and other related systems that we call social awareness streams are rapidly changing the information and communication dynamics of our society. These systems, where hundreds of millions of users share short messages in real time, expose the aggregate interests and attention of global and local communities. In particular, emerging temporal trends in these systems, especially those related to a single geographic area, are a significant and revealing source of information for, and about, a local community. This study makes two essential contributions for interpreting emerging temporal trends in these information systems. First, based on a large dataset of Twitter messages from one geographic area, we develop a taxonomy of the trends present in the data. Second, we identify important dimensions according to which trends can be categorized, as well as the key distinguishing features of trends that can be derived from their associated messages. We quantitatively examine the computed features for different categories of trends, and establish that significant differences can be detected across categories. Our study advances the understanding of trends on Twitter and other social awareness streams, which will enable powerful applications and activities, including user-driven real-time information services for local communities.
  6. Social Media und Web Science : das Web als Lebensraum, Düsseldorf, 22. - 23. März 2012, Proceedings, hrsg. von Marlies Ockenfeld, Isabella Peters und Katrin Weller. DGI, Frankfurt am Main 2012 (2012) 0.01 
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  7. Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016) 0.01 
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    Date
    22. 1.2016 14:37:14
  8. Bäcker, P.; Macit, U.: Computergestützte Freizeitplanung basierend auf Points Of Interest (2010) 0.01 
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    Abstract
    Beschrieben wird die Entwicklung eines Systems, das auf Basis einer Point Of Interest-Datenbank eine automatische Freizeitplanung durchführt. Nach Auswahl eines Tagesthemas wie z. B. "Tag in der Natur" oder "Tag zu zweit", entwirft das System einen thematisch passenden Tagesplan mit mehreren Etappen in zeitlicher Abfolge. Zunächst wird das entwickelte System grob vorgestellt, gefolgt von einem Überblick über ähnliche aktuelle Forschungen. Im Anschluss folgen eine kurze Einführung in den Mashup-Begriff sowie eine Beschreibung der vom System genutzten Dienste. Schließlich werden die Komponenten des Systems erklärt und ein Ausblick in die Zukunft der POI-Dienste und -Suchmaschinen gegeben.
  9. Hartmann, B.: Ab ins MoMA : zum virtuellen Museumsgang (2011) 0.01 
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    Date
    3. 5.1997 8:44:22
  10. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.01 
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    Date
    22. 1.2011 14:27:06
  11. 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) 0.01 
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    Date
    18.11.2014 13:22:03
  12. Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015) 0.01 
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    Date
    5. 7.2015 22:02:31
  13. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01 
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    Date
    4. 8.2015 19:22:04
  14. Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016) 0.01 
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    Date
    22. 1.2016 11:51:19
  15. Arbelaitz, O.; Martínez-Otzeta. J.M.; Muguerza, J.: User modeling in a social network for cognitively disabled people (2016) 0.01 
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    Date
    22. 1.2016 12:02:26
  16. Elsweiler, D.; Harvey, M.: Engaging and maintaining a sense of being informed : understanding the tasks motivating twitter search (2015) 0.01 
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    Abstract
    Micro-blogging services such as Twitter represent constantly evolving, user-generated sources of information. Previous studies show that users search such content regularly but are often dissatisfied with current search facilities. We argue that an enhanced understanding of the motivations for search would aid the design of improved search systems, better reflecting what people need. Building on previous research, we present qualitative analyses of two sources of data regarding how and why people search Twitter. The first, a diary study (p?=?68), provides descriptions of Twitter information needs (n?=?117) and important meta-data from active study participants. The second data set was established by collecting first-person descriptions of search behavior (n?=?388) tweeted by twitter users themselves (p?=?381) and complements the first data set by providing similar descriptions from a more plentiful source. The results of our analyses reveal numerous characteristics of Twitter search that differentiate it from more commonly studied search domains, such as web search. The findings also shed light on some of the difficulties users encounter. By highlighting examples that go beyond those previously published, this article adds to the understanding of how and why people search such content. Based on these new insights, we conclude with a discussion of possible design implications for search systems that index micro-blogging content.
  17. Zhang, Y.; Sun, Y.; Xie, B.: Quality of health information for consumers on the web : a systematic review of indicators, criteria, tools, and evaluation results (2015) 0.01 
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    Abstract
    The quality of online health information for consumers has been a critical issue that concerns all stakeholders in healthcare. To gain an understanding of how quality is evaluated, this systematic review examined 165 articles in which researchers evaluated the quality of consumer-oriented health information on the web against predefined criteria. It was found that studies typically evaluated quality in relation to the substance and formality of content, as well as to the design of technological platforms. Attention to design, particularly interactivity, privacy, and social and cultural appropriateness is on the rise, which suggests the permeation of a user-centered perspective into the evaluation of health information systems, and a growing recognition of the need to study these systems from a social-technical perspective. Researchers used many preexisting instruments to facilitate evaluation of the formality of content; however, only a few were used in multiple studies, and their validity was questioned. The quality of content (i.e., accuracy and completeness) was always evaluated using proprietary instruments constructed based on medical guidelines or textbooks. The evaluation results revealed that the quality of health information varied across medical domains and across websites, and that the overall quality remained problematic. Future research is needed to examine the quality of user-generated content and to explore opportunities offered by emerging new media that can facilitate the consumer evaluation of health information.
  18. Babik, W.: ¬The Internet as the present-day agora of information and knowledge (2017) 0.01 
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    Source
    Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber
  19. Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
  20. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.01 
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    Date
    22. 1.2016 11:25:47

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