Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries
2003

Searching for Cancer Information on the Internet

Sample size: 7500 publication 10 minutes Evidence: moderate

Author Information

Author(s): Judith L Bader, Mary Frances Theofanos, Robert Zeng, Kevin McCaul

Primary Institution: National Cancer Institute

Hypothesis

What do lay users want to know about cancer when searching online?

Conclusion

Natural-language searching allows users to express their information needs and can help improve the content provided on health websites.

Supporting Evidence

  • 78.37% of sampled cancer queries asked about 14 specific cancer types.
  • The most common cancer types mentioned were Digestive/Gastrointestinal/Bowel, Breast, Skin, and Genitourinary.
  • Users often misspelled words in their queries, indicating a need for better search assistance.

Takeaway

People looking for cancer information online often ask about specific types of cancer and their treatments. They use full sentences and sometimes misspell words.

Methodology

The study analyzed 3 months of cancer-related queries from Ask.com, focusing on a sample of 7500 user questions categorized by cancer type and information needs.

Potential Biases

Potential biases in the sample due to the nature of the search engine and the demographics of its users.

Limitations

The study did not have access to raw query logs or user identities, which limits understanding of user behavior post-search.

Participant Demographics

General public users seeking cancer information online.

Statistical Information

Confidence Interval

1.11% at 95% confidence level

Digital Object Identifier (DOI)

10.2196/jmir.5.4.e31

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