Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites
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DOI: 10.1177/0002716215570866
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References listed on IDEAS
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Cited by:
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- Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2024.
"The Effect of Social Media on Elections: Evidence from The United States,"
Journal of the European Economic Association, European Economic Association, vol. 22(3), pages 1495-1539.
- Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
- Fujiwara, Thomas & Muller, Karsten & Schwarz, Carlo, 2024. "The Effect of Social Media on Elections: Evidence from the United States," CAGE Online Working Paper Series 700, Competitive Advantage in the Global Economy (CAGE).
- Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2022. "The Effect of Social Media on Elections: Evidence from the United States," Working Papers 2022-18, Princeton University. Economics Department..
- Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021.
"The Effect of Social Media on Elections: Evidence from the United States,"
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28849, National Bureau of Economic Research, Inc.
- Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," Working Papers 2021-53, Princeton University. Economics Department..
- Mortati, Marzia & Magistretti, Stefano & Cautela, Cabirio & Dell’Era, Claudio, 2023. "Data in design: How big data and thick data inform design thinking projects," Technovation, Elsevier, vol. 122(C).
- Stieglitz, Stefan & Mirbabaie, Milad & Ross, Björn & Neuberger, Christoph, 2018. "Social media analytics – Challenges in topic discovery, data collection, and data preparation," International Journal of Information Management, Elsevier, vol. 39(C), pages 156-168.
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Keywords
big data; Internet skills; digital inequality; social network sites; sampling frame; biased sample; sampling;All these keywords.
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