Presentation stopand frisk

•

1 j'aime•902 vues

A

Technologie Spirituel

#StopandFrisk
Anna Prohl

The Data
•  n=5213 tweets
•  97.83% in English
•  Collection Range:
1/14/14 – 2/25/14
Visualiza(on
courtesy
of
www.Cartodb.com

It’s
all
about

New
York.

Visualiza(on
courtesy
of
www.wordle.net

Twitter connects people talking about stop-and-frisk
Visualiza(on
produced
in
Gephi

h@p://www.nyc.gov/html/nypd/html/home/home.shtml

The NYPD has published their stop-and-
frisk data from 2003-2013 online.

85% of people frisked by the NYPD from 2003
to 2012 were Black or Hispanic.

“I think we disproportionately stop whites too
much. And minorities too little.” – Former NYC
Mayor Michael Bloomberg, WOR, June 28, 2013.

Where?

Visualizing
Race:
Brownsville
vs.
Manha@an

Maps
generated
using
Social
Explorer

Percentage
of

total
popula(on

that
iden(ﬁed
as

“Black
or
African

American
Alone”

on
the
2010

census.

“It’s not racially driven profiling, it’s crime driven
profiling.”- Newark Police Director
Quote: http://www.theatlantic.com/features/archive/2014/03/is-stop-and-frisk-worth-it/358644/

“Stop-and-Frisk gets guns off the streets.” –
Former NYC Mayor Michael Bloomberg

Conclusions

1. #Stopandfrisk pertains to NYC.
2. Twitter connects people interested in
stop-and-frisk.
3. NYPD-published data contradicts the
claims of stop-and-frisk advocates: the data
indicates Stop-and-frisk to be driven by
racial profiling.

Cita(ons

NYPD
Stop-‐and-‐Frisk
Data

h@p://www.nyc.gov/html/nypd/html/analysis_and_planning/
stop_ques(on_and_frisk_report.shtml

Newspaper
Headlines

1.
h@p://www.ny(mes.com/2014/01/31/nyregion/de-‐blasio-‐stop-‐and-‐frisk.html?_r=0

2.
h@p://www.ny(mes.com/2013/08/13/nyregion/stop-‐and-‐frisk-‐prac(ce-‐violated-‐
rights-‐judge-‐rules.html?pagewanted=all

Images

1.Bill
de
Blasio
h@p://www.crainsnewyork.com/apps/pbcsi.dll/storyimage/CN/20140224/
BLOGS04/140229936/AR/0/Bill-‐de-‐Blasio.jpg?q=100

2.Brownsville
Graﬁc:
h@p://
citynoise.org/cache/preview/49988.jpg

3.
Michael
Bloomberg:
h@p://graphics8.ny(mes.com/images/2013/08/13/nyregion/
subFRISK/subFRISK-‐ar(cleLarge.jpg

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Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world. Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance. For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age. Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.

ChatGPT and the Future of Work - Clark Boyd

ChatGPT and the Future of Work - Clark Boyd

ChatGPT and the Future of Work - Clark Boyd

Getting into the tech field. what next

Getting into the tech field. what next

Getting into the tech field. what next

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How to have difficult conversations

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Rajiv Jayarajah, MAppComm, ACC

Introduction to Data Science

Introduction to Data Science

Introduction to Data Science

Christy Abraham Joy

Time Management & Productivity - Best Practices

Time Management & Productivity - Best Practices

Time Management & Productivity - Best Practices

The six step guide to practical project management If you think managing projects is too difficult, think again. We’ve stripped back project management processes to the basics – to make it quicker and easier, without sacrificing the vital ingredients for success. “If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.” Dr Andrew Makar, Tactical Project Management

The six step guide to practical project management

The six step guide to practical project management

The six step guide to practical project management

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

RachelPearson36

En vedette (20)

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2024 State of Marketing Report – by Hubspot

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Everything You Need To Know About ChatGPT

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Content Methodology: A Best Practices Report (Webinar)

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How to Prepare For a Successful Job Search for 2024

How to Prepare For a Successful Job Search for 2024

How to Prepare For a Successful Job Search for 2024

Social Media Marketing Trends 2024 // The Global Indie Insights

Social Media Marketing Trends 2024 // The Global Indie Insights

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Trends In Paid Search: Navigating The Digital Landscape In 2024

Trends In Paid Search: Navigating The Digital Landscape In 2024

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5 Public speaking tips from TED - Visualized summary

5 Public speaking tips from TED - Visualized summary

5 Public speaking tips from TED - Visualized summary

ChatGPT and the Future of Work - Clark Boyd

ChatGPT and the Future of Work - Clark Boyd

ChatGPT and the Future of Work - Clark Boyd

Getting into the tech field. what next

Getting into the tech field. what next

Getting into the tech field. what next

Google's Just Not That Into You: Understanding Core Updates & Search Intent

Google's Just Not That Into You: Understanding Core Updates & Search Intent

Google's Just Not That Into You: Understanding Core Updates & Search Intent

How to have difficult conversations

How to have difficult conversations

How to have difficult conversations

Introduction to Data Science

Introduction to Data Science

Introduction to Data Science

Time Management & Productivity - Best Practices

Time Management & Productivity - Best Practices

Time Management & Productivity - Best Practices

The six step guide to practical project management

The six step guide to practical project management

The six step guide to practical project management

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Presentation stopand frisk

1. #StopandFrisk Anna Prohl

2. The Data •  n=5213 tweets •  97.83% in English •  Collection Range: 1/14/14 – 2/25/14 Visualiza(on courtesy of www.Cartodb.com

3. It’s all about New York. Visualiza(on courtesy of www.wordle.net

4. Twitter connects people talking about stop-and-frisk Visualiza(on produced in Gephi

5. h@p://www.nyc.gov/html/nypd/html/home/home.shtml The NYPD has published their stop-and- frisk data from 2003-2013 online.

6. 85% of people frisked by the NYPD from 2003 to 2012 were Black or Hispanic.

7. “I think we disproportionately stop whites too much. And minorities too little.” – Former NYC Mayor Michael Bloomberg, WOR, June 28, 2013.

9. Visualizing Race: Brownsville vs. Manha@an Maps generated using Social Explorer Percentage of total popula(on that iden(ﬁed as “Black or African American Alone” on the 2010 census.

10. “It’s not racially driven profiling, it’s crime driven profiling.”- Newark Police Director Quote: http://www.theatlantic.com/features/archive/2014/03/is-stop-and-frisk-worth-it/358644/

11. “Stop-and-Frisk gets guns off the streets.” – Former NYC Mayor Michael Bloomberg

12. Conclusions 1. #Stopandfrisk pertains to NYC. 2. Twitter connects people interested in stop-and-frisk. 3. NYPD-published data contradicts the claims of stop-and-frisk advocates: the data indicates Stop-and-frisk to be driven by racial profiling.

13. Cita(ons NYPD Stop-‐and-‐Frisk Data h@p://www.nyc.gov/html/nypd/html/analysis_and_planning/ stop_ques(on_and_frisk_report.shtml Newspaper Headlines 1. h@p://www.ny(mes.com/2014/01/31/nyregion/de-‐blasio-‐stop-‐and-‐frisk.html?_r=0 2. h@p://www.ny(mes.com/2013/08/13/nyregion/stop-‐and-‐frisk-‐prac(ce-‐violated-‐ rights-‐judge-‐rules.html?pagewanted=all Images 1.Bill de Blasio h@p://www.crainsnewyork.com/apps/pbcsi.dll/storyimage/CN/20140224/ BLOGS04/140229936/AR/0/Bill-‐de-‐Blasio.jpg?q=100 2.Brownsville Graﬁc: h@p:// citynoise.org/cache/preview/49988.jpg 3. Michael Bloomberg: h@p://graphics8.ny(mes.com/images/2013/08/13/nyregion/ subFRISK/subFRISK-‐ar(cleLarge.jpg