The Use of Social Media in Intelligence and Its Impact on Police Work

Fortin, Francis; Donne, Julie Delle; Knop, Justine

doi:10.1007/978-3-030-56765-1_13

Cited by 8 publications

(2 citation statements)

References 45 publications

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“…It is now common for police agencies to engage with social media (Fortin, Delle Donne, & Knop, 2021;Tiry, Oglesby-Neal, & Kim, 2019;Walsh & O'Connor, 2019). A 2015 survey of over 500 US police departments found that 94% of agencies had used social media in some capacity-to notify the public, recruit employees, gather intelligence, manage reputations, or perform other functions-and 89% had used it to further criminal investigations (International Association of Chiefs of Police, 2015).…”

Section: Police Use Of Social Mediamentioning

confidence: 99%

Racial Equity in Police Use of Social Media Monitoring Software

Burkhardt,

Borradaile,

Gelvin

2023

Preprint

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With the rise of so-called “big data,” police agencies are increasingly mining new sources of data to enhance their law enforcement capabilities. Social media represents one large and readily available source of such data. Social media monitoring (SMM) software allows police to cast a dragnet to capture suspicious activity by users in a large population. The present paper considers the equity of this dragnet process. Evidence from other domains demonstrates that law enforcement resources are often concentrated on marginalized populations. We ask: Does social media monitoring disproportionately identify members of certain racial groups as suspicious? To answer this question, we consider one SMM implementation by a local police department in Oregon over 13 months in 2016 and 2017. Using result logs, we compare the racial composition of flagged individuals against the local population of social media users. We find some evidence that the software flags White users at rates higher than would be expected given their use of social media, although this finding is sensitive to changes in sampling procedure. This paper offers the first publicly available equity audit of SMM software, and in so doing it highlights methodological and epistemological challenges in evaluating and ensuring equity in SMM.

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Section: Police Use Of Social Mediamentioning

confidence: 99%

Racial Equity in Police Use of Social Media Monitoring Software

Burkhardt,

Borradaile,

Gelvin

2023

Preprint

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“…Moreover, legislative amendments currently attempt to combat offensive language. Advanced technical approaches that can aid social media platforms and others in implementing these laws [6]. Online offensive language spotting has been used in multiple languages, such as English, German, Turkish, Hindi, Chinese, and Arabic [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

Detecting Arabic textual threats in social media using artificial intelligence: An overview

Elzayady

Mohamed

Badran

et al. 2022

IJEECS

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<span>Recent studies show that social media has become an integral part of everyone's daily routine. People often use it to convey their ideas, opinions, and critiques. Consequently, the increasing use of social media has motivated malicious users to misuse online social media anonymity. Thus, these users can exploit this advantage and engage in socially unacceptable behavior. The use of inappropriate language on social media is one of the greatest societal dangers that exist today. Therefore, there is a need to monitor and evaluate social media postings using automated methods and techniques. The majority of studies that deal with offensive language classification in texts have used English datasets. However, the enhancement of offensive language detection in Arabic has gotten less consideration. The Arabic language has different rules and structures. This article provides a thorough review of research studies that have made use of artificial intelligence (AI) for the identification of Arabic offensive language in various contexts.</span>

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(How) Should security authorities counter false information on social media in crises? A democracy-theoretical and ethical reflection

Sievi,

Pawelec

2025

International Journal of Disaster Risk Reduction

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The Use of Social Media in Intelligence and Its Impact on Police Work

Cited by 8 publications

References 45 publications

Racial Equity in Police Use of Social Media Monitoring Software

Racial Equity in Police Use of Social Media Monitoring Software

Detecting Arabic textual threats in social media using artificial intelligence: An overview

(How) Should security authorities counter false information on social media in crises? A democracy-theoretical and ethical reflection

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