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1.
Data Brief ; 48: 109077, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2308620

ABSTRACT

Raw datasets were sourced from a U.S. based provider of digital gambling payments systems, who has demanded to remain anonymous. The raw datasets cover a time period of 6-years (2015-2021), representing over 300,000 customers and approximately 90 million transaction records. One of these raw datasets is a transaction log file representing customer payment transaction data across a variety of gambling merchants (e.g., online casinos, sportsbooks, and lottery providers). With this article we describe the transaction log file and provide two filtered subsets of the data. The subsets contain 1-year of customer payments transaction records for two gambling merchants: (1) a casino-focused brand and (2) a sports-focused brand. These data will be particularly helpful to researchers in the fields of gambling studies and behavioral sciences, and more generally for data and computer scientists. With digital payments becoming increasingly prevalent across the gambling industry, these data can be used to explore how individuals' payment behavior can inform us about their gambling behavior. The granularity and timespan of the data provide an opportunity to apply a variety of data science and machine learning techniques.

2.
Arch Sex Behav ; 51(1): 123-137, 2022 01.
Article in English | MEDLINE | ID: covidwho-1317579

ABSTRACT

Of the many changes in daily life brought about by the COVID-19 pandemic, social distancing efforts and governmentally mandated lockdowns were among the most drastic. Coinciding with these changes, popular pornography websites made some previously premium content available for free, spurring dramatic increases in traffic to these websites. This increase in time spent at home and reported increases in traffic to specific pornographic websites led to some speculation that pornography use might generally increase over the course of the pandemic and that problematic use might also increase. To test these speculations and quantify the effects of the pandemic and its associated restrictions on social behaviors on pornography use, we analyzed data from a longitudinal sample of American adults. Baseline, nationally representative data were collected in August 2019 via YouGov (N = 2518). Subsequent data were collected in February 2020 (n = 1677), May 2020 (n = 1533), August 2020 (n = 1470), and October 2020 (n = 1269). Results indicated that, in May 2020, immediately following the height of the first wave of pandemic-related lockdowns, more people reported past-month pornography use than at other follow-up time points, but less did so than at baseline. Among those who reported use in May 2020, only 14% reported increases in use since the start of the pandemic, and their use returned to levels similar to all other users by August 2020. In general, pornography use trended downward over the pandemic, for both men and women. Problematic pornography use trended downward for men and remained low and unchanged in women. Collectively, these results suggest that many fears about pornography use during pandemic-related lockdowns were largely not supported by available data.


Subject(s)
COVID-19 , Pandemics , Adult , Communicable Disease Control , Erotica , Female , Humans , Longitudinal Studies , Male , SARS-CoV-2 , United States/epidemiology
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