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GroupEpsilon-EthicalImplicationsofSocialMediaUseinPublicSafety1.pptx

Ethical Implications of Social Media Data Mining by Police

University of Maryland University College (UMUC)

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Executive Summary

Introduction

History

Current Trends

Alternatives

Conclusion

References

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TABLE OF CONTENTS

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EXECUTIVE SUMMARY

Social media is constantly inundated with posts that contain rich and timely information about events relevant to public safety

Social media can be used track people as they move from one location to the next

Software can be deployed to identify key words like “gun”, “fight”, and “shoot” to track posts that are indicative of danger and/or criminal activity

The goal of these programs and the partnership with law enforcement is to bypass privacy options of the social media sites

Social media data mining has great potential to make policing more proactive – But is it legal? Ethical?

Authorities are already using social media, such as posts and comments, to store information and to keep tabs on people

Facebook and Instagram oppose this effort

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INTRODUCTION

Is social media data mining ethical?

Should the government and law enforcement agencies be legally authorized to undermine resident privacy in an effort to prevent/deter crime?

What is the public’s reasonable expectation of privacy?

Is social data mining considered a warrantless search?

Social media posts are public – does that make it legal and ethical to monitor an individual’s posts over a period of time?

Law enforcement agencies should reveal what data they are collecting, how it is being collected, and what it is being used for

Public education/engagement about this effort should be mandatory!

Clear guidelines and regulations must be imposed on this process!

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HISTORY

100 Representatives attended a Social Media networking workshop.

Included federal, state, and local governments, private sector, and news media (to share case studies for learning).

Two goals to help emergency management learn how to:

Better protect communities.

Improve communication during crisis situations.

Police have been increasingly using social media

76% to gain tips on crime

72% to monitor public

70% for intelligence gathering

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HISTORY (cont.)

California fires in 2018 used real-time updates on evacuations and effected areas via social media outlets

Used to be done by TV and Radio which not everyone got the information.

Amber Alerts posted on Facebook and twitter to increase exposure.

Jurys using social media during trials is astoundingly high.

Juror was “friending” female defendant and got out of jury duty.

Results in numerous new trials and overturned verdicts.

Arkansas Supreme Court reverses capital murder conviction because of juror repeatedly tweeted comments during trial.

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Social Media posts can be loaded with useful data for policing. This data can assist law enforcement with:

Quicker Interventions – Crime Prevention, Incident Targeting, and Protest Awareness

Intelligence gathering – Hashtags, Live Streaming, Pictures of Emergency Situations, and Potential Criminal Networks

Software is presently being used to sift through this collection of data in an effort to pinpoint potential danger – Also used to “flag” and track people

Geofeedia:: Bypasses security settings; monitors key words to provide location based social data –”fight”, “shoot”, “bomb”

Snaptrends: : Creates “dummy” accounts to bait/attract sexual offenders

Media Son : Looks for insider threats through back-end social media monitoring.

*Facebook, Instagram, and Twitter have blocked these companies

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CURRENT TRENDS

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American Civil Liberties Union (ACLU) claims law enforcement is targeting racially loaded phrases

#blacklivesmatter, #DontShoot, #muslimlivesmatter

Boston Police has been accused of prejudice – Their social mining efforts have caused great public distrust

Current social media data mining practices are an invasion of privacy and a violation of civil rights

Social media posts are public, but bypassing security settings to monitor people over time and tracking citizen’s movement is unethical and should be deemed illegal

This could be considered warrantless digital searching

Social media can be used for positive police to public engagement - Safety messages, danger areas, etc.

Research shows that the existence of this engagement is low

Social media is more commonly used to make police look bad

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CURRENT TRENDS (cont.)

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Public safety is becoming more technologically sophisticated

Citizens should expect more community engagement by public safety organizations via social media

Law enforcement agencies have evolved from utilizing posters to social networks and police radio.

Social media is being used in jury trials

Jurors collect data via social media to research cases and defendants – Historical understanding of case and those involved

This can result in an unfair trial or biased verdicts

Social media data mining has influenced how law enforcement agencies respond to protests

Tracking highly charged phrases and hashtags provides police with the awareness to keep organized protests under control

Also allows police to intervene and sometimes kill protests before they start – Protesting is a legal right that should not be infringed upon – Freedom of speech is being controlled

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CURRENT TRENDS (cont.)

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ALTERNATIVES

Social media, if strategically added to the larger information environment, can help to provide the real-time “what,” the “who,” the “why,” and the “how,” and may even help in predicting the cascading effects of decisions, actions, and changing hazards

Integrating social data within all aspects of response, from planning, to training and exercises, will help to legitimize its role in public safety and emergency response

Police agencies should provide links to their social media accounts on their websites to build followers

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ALTERNATIVES (cont.)

Published material should also have the same links to increase law enforcement’s ability to communicate with the public

Jurors conducting their own research on the Internet could be made a punishable offense (a form of statutory contempt) to stop the use of social media during a trial

The use of e-government applications to provide information from the government to citizens in a mono-directional manner

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Law enforcement and public safety organizations have the potential to also utilize social media in productive capacities

Disseminate productive outreach messages

Disseminate information related to criminal activity

Alert the public of required information for ongoing cases

Utilizing a large social media presence can be advantageous to law enforcement organizations as they can rely on public entities to help solve crimes

Using AI and machine learning to access available public information to recreate crime scenes and capture other evidence from pictures and other digital media

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ALTERNATIVES (cont.)

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ALTERNATIVES (cont.)

Agencies can incorporate warning and alert systems through their social media fowling to keep citizens in their jurisdictions informed on latest trends

Public safety and other governmental services can collaborate with private business and organizations to request assistance with local and regional criminal trends

Rather than conduct questionable monitoring of private social media accounts, public safety organizations can also utilize aggregate sentiment to utilize group trending to change policies

Examples would be used with Twitter hashtags where large groups of citizens can tag areas of increased criminal activity

These tags would then inspire police in the area to change policies related to public safety

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CONCLUSION

Using social media to essentially “flag”, track, or target people should not be allowed – this is unethical

There must be rules and regulations imposed to ensure that this effort is legal and does not violate resident privacy

Does social mining actually work? Where is the evidence?

There must be more testing and more research

The U.S. 4th Amendment protects our right to privacy and the 1st Amendment protects our freedom of speech

People should not be targeted for what they say online

We should not have to adjust the way we talk

Social data mining results in racial profiling and can lead to biased policing and unfair trials

Be careful what you say and don’t overshare on social media because law enforcement is watching you!

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REFERENCES

Bousquet, C. (2018). Mining Social Media Data for Policing, the Ethical Way. Retrieved from https://www.govtech.com/public-safety/Mining-Social-Media-Data-for-Policing-the-Ethical-Way.html

Brainard, L., & Edlins, M. (2015). Top 10 US municipal police departments and their social media usage. The American Review of Public Administration, 45(6), 728-745.

Cohen, S. (2014). Social Media as a Sensor – Legitimizing the Role of Social Media in Public Safety. Retrieved from https://www.ghinternational.com/blog/legitimizing-the-role-of-social-media-in-public-safety

Gavigan, J. (2010). Article Archive Details Hendon Publishing. Retrieved from http://www.hendonpub.com/resources/article_archive/results/details?id=1536

Karakiz, Maria. (2015). The Impact of Social Media in the Public Sector. Procedia – Social and Behavioral Sciences. 175.10.1016/j.sbspro.2015.01.1214

Pfeifer, W. (2018, December 5). Will Social Media Affect the Outcome of Your Trial? Retrieved from https://www.thebalancesmb.com/social-media-in-the-courtroom-2151359

Tsytsarau, M. (2013). Large scale aggregated sentiment analytics. DISI - University of Trento International Doctorate School in Information and Communication Technologies. Accessed from: https://pdfs.semanticscholar.org/2d02/03f997c7d51983c57e78ea2714cc7ec1376c.pdf.

Schneider, C. J. (2016). Policing and social media: Social control in an era of new media. Lexington Books.

Waters, G. (2012). Social Media and Law Enforcement Potential Risks. FBI Articles. Accessed from https://leb.fbi.gov/articles/featured-articles/social-media-and-law-enforcement.

Williams, C. B., Fedorowicz, J., Kavanaugh, A., Mentzer, K., Thatcher, J. B., & Xu, J. (2018). Leveraging social media to achieve a community policing agenda. Government Information Quarterly, 35(2), 210–222

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