Abstract
Search engines play a critical role in the diffusion of online information because they determine what content is easily visible to Web users. Major search engines, such as Google, Microsoft Live Search, and Yahoo!, provide two distinct types of results, organic and paid, each of which uses different mechanisms for selecting and ranking relevant Web pages. Using a third-party trust assurance program from BBB (Better Business Bureau) Online we find that vendors represented by websites in organic and paid results have varying reliability ratings. These ratings, based on overall customer experiences, may range from satisfactory to unsatisfactory. We empirically examine how vendors' reliability ratings from BBB Online are associated with cues (such as type of search result, relative price of a product, and number of sites selling the product) that can be observed or derived from organic and paid search results. Further, we apply a data mining technique to predict the vendors' BBB reliability ratings using those cues and achieve good performance.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 768-775 |
| Number of pages | 8 |
| Journal | Decision Support Systems |
| Volume | 52 |
| Issue number | 3 |
| DOIs | |
| State | Published - Feb 2012 |
| Externally published | Yes |
Keywords
- Organic results
- Paid results
- Reliability prediction
- Search engine marketing
- Search result reliability
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- Information Systems and Management