Fourth Amendment Doctrine Mash-Up: The Curious Case of Cell Phone Location Data

2015 ◽  
Author(s):  
Monu Singh Bedi
2020 ◽  
Vol 27 (8) ◽  
Author(s):  
Shiv T Sehra ◽  
Louis J Kishfy ◽  
Alexander Brodski ◽  
Michael D George ◽  
Douglas J Wiebe ◽  
...  
Keyword(s):  

Social Forces ◽  
2020 ◽  
Author(s):  
Byungkyu Lee

Abstract Close elections are rare, but most Americans have experienced a close election at least once in their lifetime. How does intense politicization in close elections affect our close relationships? Using four national egocentric network surveys during the 1992, 2000, 2008, and 2016 election cycles, I find that close elections are associated with a modest decrease in network isolation in Americans’ political discussion networks. While Americans are more politically engaged in close elections, they also are less likely to be exposed to political dissent and more likely to deactivate their kinship ties to discuss politics. I further investigate a potential mechanism, the extent of political advertising, and show that cross-cutting exposure is more likely to disappear in states with more political ads air. To examine the behavioral consequence of close elections within American families, I revisit large-scale cell phone location data during the Thanksgiving holiday in 2016. I find that Americans are less likely to travel following close elections, and that families comprised of members with strong, opposing political views are more likely to shorten their Thanksgiving dinner. These results illuminate a process in which politicization may “close off” strong-tied relationships in the aftermath of close elections.


2019 ◽  
Vol 37 (6) ◽  
pp. 751-775 ◽  
Author(s):  
Emma W. Marshall ◽  
Jennifer L. Groscup ◽  
Eve M. Brank ◽  
Analay Perez ◽  
Lori A. Hoetger

Author(s):  
Eli P. Fenichel ◽  
Kevin Berry ◽  
Jude Bayham ◽  
Gregg Gonsalves

AbstractTransmission of the SAR-COV-2 virus that causes COVID-19 is largely driven by human behavior and person-to-person contact. By staying home, people reduce the probability of contacting an infectious individual, becoming infected, and passing on the virus. One of the most promising sources of data on time use is smartphone location data. We develop a time use driven proportional mixing SEIR model that naturally incorporates time spent at home measured using smartphone location data and allows people of different health statuses to behave differently. We simulate epidemics in almost every county in the United States. The model suggests that Americans’ behavioral shifts have reduced cases in 55%-86% of counties and for 71%-91% of the population, depending on modeling assumptions. Resuming pre-epidemic behavior would lead to a rapid rise in cases in most counties. Spatial patterns of bending and flattening the curve are robust to modeling assumptions. Depending on epidemic history, county demographics, and behavior within a county, returning those with acquired immunity (assuming it exists) to regular schedules generally helps reduce cumulative COVID-19 cases. The model robustly identifies which counties would experience the greatest share of case reduction relative to continued distancing behavior. The model occasionally mischaracterizes epidemic patterns in counties tightly connected to larger counties that are experiencing large epidemics. Understanding these patterns is critical for prioritizing testing resources and back-to-work planning for the United States.


2021 ◽  
pp. 001391652110311
Author(s):  
David S. Curtis ◽  
Alessandro Rigolon ◽  
Dorothy L. Schmalz ◽  
Barbara B. Brown

The COVID-19 pandemic may have altered visitation patterns to parks, with potential effects on human health. Little is known about park use early in the pandemic, how park availability influenced use, and whether park visits accelerated COVID-19 spread. Using weekly cell phone location data for 620 U.S. counties, we show park visits decreased by an average 26% between March 15 and May 9, 2020. Net of weekly trends, park visits were 2.2% lower when stay-at-home orders were in effect, yet increased by 8.4% with school closures and 4.4% with business closures. Park visits decreased less during the pandemic in counties where park availability was high. Levels of park visits were not associated with COVID-19 growth rate or incidence in the following weeks. Thus, parks served as recreation and leisure outlets when schools and businesses closed, especially where parks were more available, with no evidence of park use increasing COVID-19 spread.


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