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Research Dilemmas with Behavioral Big Data
1Institute of Service Science, National Tsing Hua University , Hsinchu, Taiwan .
Big Data
|June 21, 2017
Summary
Behavioral big data (BBD) presents new challenges for researchers. This study explores the ethical and methodological dilemmas of using BBD for causal behavioral research.
Area of Science:
- Social Sciences
- Management Science
- Behavioral Economics
Background:
- Behavioral big data (BBD) offers unprecedented insights into human and social behaviors.
- The increasing availability of BBD necessitates new analytical approaches in research.
- Traditional research paradigms face significant shifts in the context of BBD.
Purpose of the Study:
- To identify and discuss the unique challenges and ethical dilemmas associated with BBD acquisition and analysis.
- To explore the trade-offs researchers face when conducting causal behavioral research using BBD.
- To provide a framework for navigating the complexities of BBD in scientific discovery.
Main Methods:
- Literature review of existing research on BBD.
- Conceptual analysis of the researcher-data-subject relationship in BBD studies.
- Discussion of methodological and ethical considerations specific to BBD.
Main Results:
- BBD introduces distinct methodological and technical hurdles compared to traditional data.
- Ethical considerations, including privacy and consent, are amplified with BBD.
- Trade-offs exist between data richness, analytical feasibility, and ethical responsibilities.
Conclusions:
- Researchers must address novel methodological and ethical challenges to effectively utilize BBD.
- Careful consideration of the evolving research landscape is crucial for valid causal inference.
- Navigating BBD requires a balanced approach to maximize scientific discovery while upholding ethical standards.
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