scholarly journals QRFA: A Data-Driven Model of Information-Seeking Dialogues

Author(s):  
Svitlana Vakulenko ◽  
Kate Revoredo ◽  
Claudio Di Ciccio ◽  
Maarten de Rijke
2017 ◽  
Vol 78 (8) ◽  
pp. 436
Author(s):  
Douglas Black

I didn’t set out to become a data-driven librarian. The concept was still new when I was in library school, and smitten as I was with the human element of information structures and information seeking, the idea seemed detached, focused on mere numbers divorced from the daily face-to-face reality of a reference librarian.Well.


This chapter poses and attempts to answer a significant question regarding emotions research within academic librarianship – namely, why isn't this topic being researched more? Given how emotionally-laden the work is and how emotionally-laden information-seeking behavior can be, it seems surprising that there is a dearth of research on emotion-related issues. Other people-oriented professions like healthcare and hospitality seem very focused on understanding the qualitative experiences of their professionals; in comparison, academic librarianship seems reluctant to tackle the topic. The chapter examines what does exist in the academic librarianship literature regarding emotions and branches out into other disciplines to see how they examine the issue of emotion and its impact on professional practice. The chapter also posits answers for why this topic isn't studied more within academic librarianship, focusing on issues of objectivity and data-driven decision making.


Author(s):  
Adeola Opesade ◽  

Introduction. Despite the wide use of the search engine Google to access the Internet, its ability to record users' digital traces amassed over time and make this available to the public, no known study has employed this resource to examine Internet users' information-seeking behavior. This study, using Google Trends data, investigates the use of the Internet for multiple hierarchical information needs in the developing country Nigeria. Methods. A data-driven research method was used in this study. Data-driven research uses exploratory approaches to analyse big data to extract scientifically interesting insights. Analysis. Microsoft Office Excel 2007 and Statistical Package for the Social Sciences (SPSS) Version 17 were employed for data analyses. The former was used primarily for charting while the latter was used for other descriptive and inferential statistical analyses. ResultsThe findings present profiles of Internet user groups through their levels of search interests in five diverse needs. It also revealed differing levels of interest in searching for the diverse needs. Furthermore, the result shows that there is a divide between the Northern and Southern parts of Nigeria. ConclusionThe research extends studies in information seeking by utilising Web data to understand Internet users' information seeking behaviour in Nigeria.


2019 ◽  
Vol 42 ◽  
Author(s):  
Jessica L. Alquist ◽  
Roy F. Baumeister

AbstractWhen an environment is uncertain, humans and other animals benefit from preparing for and attempting to predict potential outcomes. People respond to uncertainty both by conserving mental energy on tasks unrelated to the source of the uncertainty and by increasing their attentiveness to information related to the uncertainty. This mental hoarding and foraging allow people to prepare in uncertain situations.


Crisis ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 211-219 ◽  
Author(s):  
Vinod Singaravelu ◽  
Anne Stewart ◽  
Joanna Adams ◽  
Sue Simkin ◽  
Keith Hawton

Abstract. Background: The Internet is used by young people at risk of self-harm to communicate, find information, and obtain support. Aims: We aimed to identify and analyze websites potentially accessed by these young people. Method: Six search terms, relating to self-harm/suicide and depression, were input into four search engines. Websites were analyzed for access, content/purpose, and tone. Results: In all, 314 websites were included in the analysis. Most could be accessed without restriction. Sites accessed by self-harm/suicide search terms were mostly positive or preventive in tone, whereas sites accessed by the term ways to kill yourself tended to have a negative tone. Information about self-harm methods was common with specific advice on how to self-harm in 15.8% of sites, encouragement of self-harm in 7.0%, and evocative images of self-harm/suicide in 20.7%. Advice on how to get help was given in 56.1% of sites. Conclusion: Websites relating to suicide or self-harm are easily accessed. Many sites are potentially helpful. However, a significant proportion of sites are potentially harmful through normalizing or encouraging self-harm. Enquiry regarding Internet use should be routinely included while assessing young people at risk.


Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr

Abstract. Background: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. Aims: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking. Method: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries. Results: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. Limitations: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms). Conclusion: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.


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