1. Web Search Engines and Online Databases Solving the User Query “Causes and spread of the Ebola virus and Precautions one should take.” Information Access and Retrieval

2. What is the True information need? The Query The Information Need The basis of much of the interaction between librarians and information users begins with questions that require answers. In this case the question the parent is asking is an assessment of Ebola virus and the risk that it imposes to her family. Current events and national media attention on Ebola User has no medical background General understanding of the virus History of the virus Accurate assessment of the virus as a real threat

3. Search #1 The first was just a general search of the word Ebola. Out of the first ten results, seven were viewed as relevant to my patron’s information need precision ratio of 0.7 governmental sources international sources good reputation Search #2 Search performed with Boolean Logic: Ebola AND prevention. Out of the first ten results, six were viewed as relevant to my patron’s information need precision ratio of 0.6 some repeat hits good reputation Search #3 Search performed a search with Boolean Logic: Ebola AND prevention AND transmission. Out of the first ten results, six were viewed as relevant to my patron’s information need precision ratio of 0.6 new article about transmission Search Engine Results

4. Search #4 For the fourth and final search, I performed a search with Boolean Logic: Ebola AND children. Out of the first ten results, two were viewed as relevant to my patron’s information need, giving this search a precision ratio of 0.2.

5. All searches provided useful information Search parameters and relevancy (3) Searches yielded high precision Search with “children” altered results Google Web Search Break Down Search engine provided quality results Searches provided patron useful info

6. Search #1 Broad search of just the word Ebola. I determined that three were pertinent to the user’s query precision ratio of 0.15 1,471 retrieved results results were relevant 17/20 not query relevant Search #2 I chose the keyword Children, which produced eight results. The two results which I deemed relevant gave an overview of Ebola precision ratio of 0.25 6 results not relevant Search #3 Search performed a search with Boolean Logic: Ebola AND transmission AND prevention Out of the first twenty results, six were viewed as relevant to my patron’s information need precision ratio of 0.3 106 results Database Results

7. Search #3 Previous searches produced lower precision. Results in the previous searches were relevant, just not pertinent to the patron’s query. The final search, with the highest precision, was the only search to produce results completely not relevant to the query.

8. All searches provided useful information Searches took about twenty minutes Keywords: transmission and prevention Resources met the patron’s need MedlinePlus Database Break Down Medline provided mostly quality results No results hyperbolized risk or danger

9. Web Search Engine versus the Online Database Google Search and the Medline database returned relevant results to satisfy the user query Medline results were relevant to the general topic more often than user query Examples of not relevancy in Medline: Animal Ebola and Transmission in Africa Google search ads and news articles could sensationalize issue In Medline, no results hyperbolized the risk or misled the reader of the dangers of Ebola Search engine yielded higher precision relevant to query

10. Questions?