Source Bias Detection
Source Bias Detection is a methodological framework within source evaluation that systematically identifies and assesses systematic distortions in information arising from the presuppositions, interests, or perspectives of a source.
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5.7K
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312
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181
Institutions
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2017–2026
28
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Examining the Impact and Detection of the "Urban Legend" of Common Method Bias
Andrew Schwarz, Tracey E. Rizzuto, Colleen Carraher Wolverton et al. · ACM SIGMIS Database the DATABASE for Advances in Information Systems · 2017 · 255 citations
Business, Information Systems, Management Information Systems +14
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Yale University
New Haven, United States
5 h-index
9 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
493 citations
Columbia University
New York, United States
4 h-index
11 publications
539 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
5 publications
286 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
312 citations
Texas A&M University
College Station, United States
3 h-index
7 publications
980 citations
Stanford University
Stanford, United States
3 h-index
8 publications
815 citations
Louisiana State University
Baton Rouge, United States
3 h-index
5 publications
762 citations
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3 publications · 117 citations
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3 publications · 159 citations
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2 publications · 67 citations
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DP · 2 publications · 91 citations
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Repository · 2 publications · 150 citations
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