-
Savolainen, R.: ¬The structure of argument patterns on a social Q&A site (2012)
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- Abstract
- This study investigates the argument patterns in Yahoo! Answers, a major question and answer (Q&A) site. Mainly drawing on the ideas of Toulmin (), argument pattern is conceptualized as a set of 5 major elements: claim, counterclaim, rebuttal, support, and grounds. The combinations of these elements result in diverse argument patterns. Failed opening consists of an initial claim only, whereas nonoppositional argument pattern also includes indications of support. Oppositional argument pattern contains the elements of counterclaim and rebuttal. Mixed argument pattern entails all 5 elements. The empirical data were gathered by downloading from Yahoo! Answers 100 discussion threads discussing global warming-a controversial topic providing a fertile ground for arguments for and against. Of the argument patterns, failed openings were most frequent, followed by oppositional, nonoppositional, and mixed patterns. In most cases, the participants grounded their arguments by drawing on personal beliefs and facts. The findings suggest that oppositional and mixed argument patterns provide more opportunities for the assessment of the quality and credibility of answers, as compared to failed openings and nonoppositional argument patterns.
-
Yuan, Y.C.; Zhao, X.; Liao, Q.; Chi, C.: ¬The use of different information and communication technologies to support knowledge sharing in organizations : from e-mail to micro-blogging (2013)
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-
Oh, S.: ¬The characteristics and motivations of health answerers for sharing information, knowledge, and experiences in online environments (2012)
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- Abstract
- In Web 2.0 environments, people commonly share their knowledge and personal experiences with others, but little is known about their background characteristics and motivations. Thus, the current study examines some of the characteristics and motivations common among answerers, who produce health-related answers to questions asked by anonymous others in a social Q&A site, Yahoo! Answers. An online survey questionnaire was distributed to top and recent answerers to investigate their demographics, areas of health expertise, and other characteristics related to answering behaviors online. Also, 10 motivation factors are proposed and tested in the survey: enjoyment, efficacy, learning, personal gain, altruism, community interest, social engagement, empathy, reputation, and reciprocity. Findings show that altruism is the most influential motivation, while personal gain is the least. Enjoyment and efficacy are more influential than other social motivations, such as reputation or reciprocity, although there are some variations across different groups of answerers. Motivational factors among top answerers or health experts are further analyzed. The findings of this study have practical implications for promoting health answerers to share knowledge and experiences in social contexts. Furthermore, the study design of the current study can be used to examine motivations of answerers in other topic areas as well as other social contexts.
-
Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018)
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- Date
- 22. 6.2018 14:29:46
-
Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016)
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- Date
- 19. 1.2019 17:42:22
-
Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016)
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- Date
- 22. 1.2016 14:37:14
-
Hartmann, B.: Ab ins MoMA : zum virtuellen Museumsgang (2011)
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- Date
- 3. 5.1997 8:44:22
-
Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011)
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- Date
- 22. 1.2011 14:27:06
-
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)
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- Date
- 18.11.2014 13:22:03
-
Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015)
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- Date
- 4. 8.2015 19:22:04
-
Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016)
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- Date
- 22. 1.2016 11:51:19
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Arbelaitz, O.; Martínez-Otzeta. J.M.; Muguerza, J.: User modeling in a social network for cognitively disabled people (2016)
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- Date
- 22. 1.2016 12:02:26
-
Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011)
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- Date
- 22. 1.2011 14:16:14
-
Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014)
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- Date
- 20. 1.2015 18:30:22
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Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016)
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- Date
- 22. 1.2016 11:25:47
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Bhatia, S.; Biyani, P.; Mitra, P.: Identifying the role of individual user messages in an online discussion and its use in thread retrieval (2016)
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- Date
- 22. 1.2016 11:50:46
-
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)
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- Date
- 16.11.2017 13:04:22
-
Bünte, O.: Bundesdatenschutzbeauftragte bezweifelt Facebooks Datenschutzversprechen (2018)
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- Date
- 23. 3.2018 13:41:22
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Kaeser, E.: ¬Das postfaktische Zeitalter (2016)
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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.
-
Joint, N.: Web 2.0 and the library : a transformational technology? (2010)
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- Date
- 22. 1.2011 17:54:04
