English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The U.S. has the highest rate of firearm-related deaths when compared toother industrialized countries. Violence particularly affects low-income, urbanneighborhoods in cities like Chicago, which saw a 40% increase in firearmviolence from 2014 to 2015 to more than 3,000 shooting victims. While recentstudies have found that urban, gang-involved individuals curate a unique andcomplex communication style within and between social media platforms,organizations focused on reducing gang violence are struggling to keep up withthe growing complexity of social media platforms and the sheer volume of datathey present. In this paper, describe the Digital Urban Violence AnalysisApproach (DUVVA), a collaborative qualitative analysis method used in acollaboration between data scientists and social work researchers to develop asuite of systems for decoding the high- stress language of urban, gang-involvedyouth. Our approach leverages principles of grounded theory when analyzingapproximately 800 tweets posted by Chicago gang members and participation ofyouth from Chicago neighborhoods to create a language resource for naturallanguage processing (NLP) methods. In uncovering the unique language andcommunication style, we developed automated tools with the potential to detectaggressive language on social media and aid individuals and groups inperforming violence prevention and interruption.

Using Natural Language Processing and Qualitative Analysis to Intervene  in Gang Violence: A Collaboration Between Social Work Researchers and Data  Scientists