scholarly journals Patent citation data in social science research: Overview and best practices

2017 ◽  
Vol 68 (6) ◽  
pp. 1360-1374 ◽  
Author(s):  
Adam B. Jaffe ◽  
Gaétan de Rassenfosse
Keyword(s):  
Best Practices ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Patent Citation ◽  
Citation Data

scholarly journals Measurement Considerations for Quantitative Social Science Research Using Social Media Data

2020 ◽  
Author(s):  
Jonathan Ladd ◽  
Rebecca Ryan ◽  
Lisa Singh ◽  
Leticia Bode ◽  
Ceren Budak ◽  
...  
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Social Scientists ◽  
Social Media Data ◽  
Measurement Issues ◽  
Computer Scientists ◽  
Media Data

Harnessing social media data for social science research entails creating measures out of the largely unstructured, noisy data that users generate on different platforms. This harnessing, particularly of data at scale, requires using methods developed in computer science. But it also typically requires integrating these methods with assessments of measurement quality along social science criteria -- reliability, validity and unbiasedness. In this paper, we outline measurement issues that arise when using social media data. We show examples of how to construct measures and discuss different measurement considerations and best practices. We conclude with a discussion of ways to accelerate research in this space, highlighting contributions that can be made by both social scientists and computer scientists.

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