Sociology in the Era of Big Data: The Ascent of Forensic Social Science

165 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data (2018, methodology): “Digital traces of activity have exposed human behavior to quantitative analysis (Lazer et al. 2009; McFarland, Lewis, and Goldberg 2016).”
Computational social scientist beware: Simpson’s paradox in behavioral data (2017, background): “The new data have vastly expanded the opportunities for discovery in the social sciences [17].”
Artificial Intelligence and Management: The Automation–Augmentation Paradox (2020, background): “…from disciplines such as astronomy (Haiman, 2019), biology (Webb, 2018), law (Corrales, Fenwick, & Forgo ́ , 2018), medicine (Topol, 2019), politics (Helbing et al., 2019), psychology (Jaeger, 2016), and sociology (McFarland, Lewis, & Goldberg, 2016) have addressed and presented conceptual ideas.”
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022, background): “Additionally, while social scientists are interested in theory-based assumptions and their implications, data scientists focus on discovering new patterns (Cai and Zhou, 2016) that appear to be irrational due to their limited explanatory power for social phenomena (McFarland et al., 2016).”