Wednesday, July 10, 2013

Building Your Tool Chest: Facebook's Graph Search

Building Your Tool Chest is a series devoted to the review and analysis of tools that assist with social media and open source research and analytics. 

For the past few months, a few of us at CES have been beta testing Facebook’s Graph Search feature. On July 8, 2013, Facebook announced the feature will soon be available to all Facebook users who have selected US English as their language. In order to prepare for the new search features, it is important to understand that Graph Search works quite differently than the current Facebook search feature.

Flexible Queries

Graph Search allows users to create flexible, complex queries for information. Instead of the current system in which users have to search for a term and then sort the data, users can now string together the relevant pieces of information to narrow search results. For instance, if you wanted to locate a jewelry store in Saint Augustine, Florida, you would simply type “Jewelry Stores in Saint Augustine, Florida.” The returned results only include jewelry stores which are located in Saint Augustine. The ease of using Graph Search allows us researchers to perform queries at a faster rate because we no longer have to take the extra step to run filters, and we can make more complicated searches than ever before. (See the Facebook Graph Search Cheat Sheet below.) However, not all search terms are easy to work with, and search results can be misleading.

Data Issues

Just because Graph Search says it returned all relevant search results, it does not necessarily mean all relevant results were accessible and/or properly categorized. There are a few major issues with search results in Facebook. First and foremost, users can choose to opt out of search results; this would exclude these users from the results even if they meet the criteria. Second, many users have privacy settings that prevent the system from returning their information in search results. Third, Facebook users do not necessarily complete their profile nor input their data in a uniform way. For instance, one person our St. Augustine office technically lived in New York, New York, but she identified her location on Facebook as her neighborhood, Harlem, New York, which would excluded her from New York, New York results. Finally, not all data fields or types of information are currently searchable, including posts. If the data you are searching for is embedded in posts, you will miss that information in your search.

Conclusion

Facebook’s Graph Search is a great tool. In the office, many of us used to complain about the difficulty we had searching for information inside of Facebook. Aside from the missing post search feature, the site has become much easier to use for locating information. Although Graph Search has some issues and requires users to learn the language before they can effectively search the system, it is ultimately a step forward for searching inside of Facebook.

In order to help you use Graph Search, we created a quick Graph Search Cheat Sheet.


About CES PRISM Blog

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The CES PRISM blog is the place where CES shares the newest developments in social media sites and tools, data analytics, eDiscovery, investigations, and intelligence. We will also share workflow tips and tricks, case studies, and the developmental progress of our open source social media research and analysis tool, PRISM. Our goal is to open a dialogue with the community which allows all of us to learn together.