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Showing 2 results for Information-Seeking

Mohsen Nowkarizi, Soodeh Shoaei, Hassan Behzadi,
Volume 5, Issue 3 (12-2018)
Abstract

Purpose: the aim was to identify users' search strategies and the rate of using search strategies on the web.

Method: It is a practical survey. The statistical population included all the postgraduate students in the first semester at Ferdowsi University of Mashhad. 95 students were selected by stratified random sampling method. To gather the data, log files were used.

Findings: 12 search strategies were identified which was divided into 5 general categories. Iterative evaluation strategy in another tab was a new form of evaluation strategy of results. Among all, starting search strategies were the most commonly used category which were repeated 397 times, and the search results evaluation strategies were ranked afterward, with 321 replications. The category of Simultaneous multiple resource access strategies, with 77 repetitions, were also the least used strategies, but in particular, the recurring exploration strategy, with 21 repetitions, was the least applicable strategy. Conducting correlation test between strategies showed that some of Pearson's correlation coefficients were significant. The strongest relationship was between the starting search strategies and the search result evaluation strategies with a 0.591 correlation coefficient.

Discussion: The results showed that the majority of students used traditional and simple strategies, such as the formulation of search terms strategy and the iterative result evaluation strategy, and they used more complex strategies in few cases. These results showed that the students need to be trained in using strategies.


Behnaz Jalalie, Mitra Ghiasi, Safieh Tahmasebi Lmoni,
Volume 6, Issue 4 (3-2020)
Abstract

Aim: Growing number social network  users for communicating between   groups   has made them a major  segment of people's social life. So, the purpose of this study is to identify the factors affecting the use of social networks and information-seeking behavior in daily life of the Kurds in virtual networks and effect of ethnic identity on the behavior of information-seeking in their daily life.
Methodology: Research is an applied and quantitatively exploratory in terms of data analysis.  Questionnaire  was used which its validity was obtained by Delphi method and its reliability based on the weights test model, was significant in all weights of the combined external model with 99% confidence. Population consisted of 70,696 people from different social classes of the Kurds of Kermanshah. The sample size based on Cochran's formula was 480 users who were members of one of the online public and specialized social  networks.
Systematic stratified random sampling was used in terms of percentage of jobs. Bartlett test, exploratory and confirmatory factor analysis was used to analyze the data.
Findings: Findings show that all identified factors have the ability to predict the   behavior of Kurds’ in information seeking in cyberspace: Leisure with standard coefficient of 0.82, cultural information with coefficient of 0.68, scientific information with coefficient of 0.56, economic information with coefficient of 0.75, social information with The coefficient of 0.74 and the consumption pattern with a coefficient of 0.52. Also, language with a coefficient of 0.30 and customs with a standard coefficient of 0.76 can predict the ethnic identity. In addition, virtual networks and ethnic identities with a coefficient of 0.54 are able to predict changes in the informational behavior of Kurds’ everyday life.
Conclusion: Leisure, cultural information, scientific information, economic information, social information, and consumption pattern were discovered and identified as factors influencing information seeking behavior in daily life, as well as language and customs were confirmed as factors of ethnic identity affecting the information-seeking behavior of the Kurds of Kermanshah.

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