Search

Showing total 34 results

Search Constraints

Start Over You searched for: Search Limiters Available in Library Collection Remove constraint Search Limiters: Available in Library Collection Topic information-seeking behavior Remove constraint Topic: information-seeking behavior Publication Type Books Remove constraint Publication Type: Books Publication Type Conference Materials Remove constraint Publication Type: Conference Materials Publisher wiley-blackwell Remove constraint Publisher: wiley-blackwell
34 results

Search Results

1. How does Citing Behavior for a Scientific Article Change over Time? A Preliminary Study.

2. Large-scale log analysis of digital reading.

3. Newcomers from the other side of the globe: International students' local information seeking during adjustment.

4. Information Practices in the Broader 'Deportment' of Mobile Knowledge Work.

5. class evaluation that classifies each statement as true, viewpoint or erroneous; and 2) 2-class evaluation that distinguishes between the true statements and all the others (i.e. viewpoint and erroneous statements were considered as one category). Interestingly, as shown in Table 2 the obtained results for the baselines are comparable for the two experiments, while for all the aggregation measures the second experiment's results were consistently higher (by up to 17%) than those of the first experiment. Therefore, we conclude that workers have quite a good ability to objectively assess the others' opinions, while their own opinions seem less reliable and consequently yield lower accuracy in classification. The accuracy of the individual worker judgment baseline is quite low for both experiments (0.7 and 0.72). Approximately 30,000 individual worker judgments were produced in each of the crowdsourcing experiments. Thus, every worker in isolation does not do any better than the "all true" baseline strategy (0.73), as could be expected. However, the workers' collective decisions (after aggregation) for each statement were much more accurate. We observe that the aggregation measure has a crucial influence on the results: a better aggregation measure can increase the accuracy by over 25% compared to the baselines. The best results were obtained by the Bayesian inference measure with alpha=0.5 and beta=0.5 for Jeffrey's prior. The AUC values are presented in Table 2 and the ROC curves are shown in Figure 3. This measure elicited 0.92 accuracy (by definition this measure could only be applied for the 2-class classification). CONCLUSION The main contribution of this research is that we show that crowdsourcing workers can quite accurately assess statements in a multi-viewpoint ontology to distinguish between true, viewpoint and erroneous statements for a given professional domain, and especially to differentiate true statements from the others. In addition, we found that a h

6. How I learned to love classical studies: Information representation design of the digital latin library.

7. Reflections on the use of participatory mapping to study everyday health information seeking by LGBTQ youth.

8. Different Geospatial Information Behaviors of New Domestic and International Graduate Students.

9. Toward a conceptual framework for data sharing practices in social sciences: A profile approach.

10. Evaluating the credibility of english web sources as a foreign-language searcher.

11. 'Searching for inspiration': User needs and search architecture in Europeana collections.

12. Evolution of information practices over time.

13. Enhancing agency through information: A phenomenographic exploration of young people's political information experiences.

14. Toward an understanding of fiction and information behavior.

15. personality and information behavior in web search.

16. "It's useless for that": Finding, Frustration, and Fun with Mobile Technology in Outdoor Markets.

17. Whakapapa: genealogical information seeking in an indigenous context.

18. Online Search in English as a Non-native Language.

19. Examining the Role of Information in the Civic Engagement of Youth.

20. How Is She? Information and the Surgical Waiting Lounge.

21. Exploring support for the unconquerable barriers in information seeking.

22. Research trends in mothers' health information seeking behaviors: A review of the literature.

23. Strategic Planning for A Data-Driven, Shared-Access Research Enterprise: Virginia Tech Research Data Assessment and Landscape Study.

24. Exploratory Search in Digital Libraries: A Preliminary Examination of the Use and Role of Interface Features.

25. Collectivist information behavior: Mentoring circles as sites for knowledge creation.

26. Exploring the relationships between search intentions and query reformulations.

27. Observing Serendipity in Digital Information Environments.

28. Information Seeking and Beyond: Impacts of Studying Different Forms of Information Behavior.

29. "A Family Like Ours": Demographic Variations in Information Seeking Behavior and Community Participation Among Parents of Individuals with Autism Spectrum Disorder (ASD).

30. Bracing for Impact: The Role of Information Science in Supporting Societal Research Impact.

31. Body-As-Information: Learning to Listen to the Body in the Context of Chronic Illness.

32. The Quality and Helpfulness of Answers to Eating Disorder Questions in Yahoo! Answers: Teens Speak Out.

33. Needs Analysis on the Development of Evidence-Based Practice in an Undergraduate Problem-Based Learning Context.

34. Digital Latin Library: Information Work Practices of Classics Scholars, Graduate Students, and Teachers.