• Fear of stricter regulations spurs gun s

    From ScienceDaily@1337:3/111 to All on Tue Aug 11 21:30:38 2020
    Fear of stricter regulations spurs gun sales after mass shootings, new analysis suggests

    Date:
    August 11, 2020
    Source:
    Cell Press
    Summary:
    Researchers used data science to study why gun sales tend to go up
    after a mass shooting. By working with spatio-temporal data from all
    the states in the United States, they determined that the increase
    in firearm purchases after mass shootings is driven by a concern
    about regulations rather than a perceived need for protection.



    FULL STORY ==========================================================================
    It's commonly known that gun sales go up after a mass shooting, but two competing hypotheses have been put forth to explain why that's the case:
    is it because people fear more violence and want to protect themselves,
    or is it because mass shootings trigger discussions about tighter gun regulations, which sends people out to stock up? In a new study appearing August 11 in the journal Patterns, investigators used data science to
    study this phenomenon. By working with spatio-temporal data from all the
    states in the US, they determined that the increase in firearm purchases
    after mass shootings is driven by a concern about regulations rather
    than a perceived need for protection.


    ========================================================================== "It's been well documented that mass shootings are linked to increases
    in firearm purchases, but the motivation behind this connection has been understudied," says first author Maurizio Porfiri, Institute Professor at
    the New York University Tandon School of Engineering, who is currently
    on research sabbatical at the Technical University of Cartagena in
    Spain. "Previous research on this topic has been done mostly from the perspective of social science. We instead used a data-science approach." Porfiri and his colleagues employed a statistical method called transfer entropy analysis, which is used to study large, complex systems like
    financial markets and climate-change models. With this approach, two
    variables are defined, and then computational techniques are used to
    determine if the future of one of them can be predicted by the past
    of the other. "This is a step above studying correlation," Porfiri
    explains. "It's actually looking at causation.

    Unique to this study is the analysis of spatio-temporal data, by
    examining the behavior of all the US states" The data that were put into consideration came from several sources: FBI background checks, which
    enabled the approximation of monthly gun sales by state; a Washington
    Post database on mass shootings; and news coverage about mass shooting
    from five major newspapers around the country. The news stories were
    put in two categories: those that mentioned gun regulations and those
    that didn't. In all, the study used data related to 87 mass shootings
    that occurred in the United States between 1999 and 2017.

    The researchers also rated individual states by how restrictive their
    gun laws are. "We expected to find that gun sales increased in states
    that have more permissive gun laws, but it was less expected in states
    with restrictive laws.

    We saw it in both," Porfiri says. "Also, when we looked at particular geographic areas, we didn't find any evidence that gun sales increased
    when mass shootings happened nearby." He adds that one limitation of
    the data is that news coverage may not fully capture public sentiment
    at a given time. In addition, although the study was successful in
    determining causal links among states, more work is needed to study the
    nature of these relationships, especially when one has laws that are
    much more restrictive than another Porfiri usually uses computational
    systems to study topics related to engineering, including ionic polymer
    metal composites and underwater robots.

    His reason for studying mass shootings is personal: he received his PhD
    in 2006 from Virginia Tech, which, the following year, was the site
    where -- at that time -- the deadliest mass shooting in the country
    took place. One member of his PhD committee was killed in the shooting,
    and he knew many others who were deeply affected.

    For him, this project is part of a larger effort to study gun
    violence. "Mass shootings are a small part of death from guns," Porfiri
    says. "Suicide and homicide are much more common. But mass shootings
    are an important catalyst for a larger discussion. I plan to look
    at the wider role of guns in the future." This study is part of the collaborative activities carried out under the programs of the region
    of Murcia (Spain): "Groups of Excellence of the region of Murcia, the Fundacio'n Se'neca, Science and Technology Agency" project 19884/GERM/15
    and "Call for Fellowships for Guest Researcher Stays at Universities and
    OPIS" project 21144/IV/19. The researcher was also supported by the New
    York University Research Challenge Fund Program and Mitsui-USA foundation.


    ========================================================================== Story Source: Materials provided by Cell_Press. Note: Content may be
    edited for style and length.


    ========================================================================== Journal Reference:
    1. Maurizio Porfiri, Roni Barak-Ventura, Manuel Ruiz
    Mari'n. Self-Protection
    versus Fear of Stricter Firearm Regulations: Examining the
    Drivers of Firearm Acquisitions in the Aftermath of a Mass
    Shooting. Patterns, 2020; 100082 DOI: 10.1016/j.patter.2020.100082 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/08/200811120200.htm

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