Beyond self reporting: Behavioral matrices used for social identity mapping of multiple social identity expression on multi-platfrom digital environments

Research output: Other contribution to conferenceAbstractpeer-review

Abstract

The importance of social identity, salience and group membership to individual wellbeing is an area intrinsically linked to contemporary understandings of motivations for engagement in extremism and violence. The research measures reliable indicators of multiple social identity expressions in real world settings by utilizing social identity theory to identify sources of expressed social and group identity in a multi-platform digital environment.

Taking a grounded approach and using prominent events with a variety of national security implications as the anchor point for data collection and subject identification, the research seeks to examine the expected and unexpected ideologies and identities which react to the event. Moving beyond self-reporting as the core source of data for social identity mapping, the research will employ engagement behavioral matrices, thematic discourse analysis, and social network analysis to produce a complex and multi-faceted social identity map of individual subjects identified in the data.

The social identity maps generated will extend the approach provided by existing social identity mapping frameworks such as pSIM and oSIM, examining identity benefits, identity change, and identity intervention. By doing so, the research will move beyond self-report and produce behavioral measures of salience, loyalty, motivation, and social influence for individuals within the sample data. The findings are expected to advance the understanding of measurements of risk, and by extension, identify opportunities for early intervention in individuals potentially at risk of mobilizing for physical acts of violence. Steps to minimise or prevent misdirection or obscuring of identities by online actors who may be strategically presenting digital versions of self is also embedded in the analysis.

By using both retroactive data, and data occurring within the research period, hypotheses of readiness to act in the physical environment, can be analysed to strengthen the assessment of risk via behavioral matrices measuring online engagement. The research will conclude with a set of generalizable and objective behavioral indicators, across a number of platforms, at both individual and emerging group levels.

Original languageEnglish
Pages92
Number of pages1
Publication statusPublished - 10 Sept 2024
Event2nd Annual Intelligence Community Tech Week 2024: Invitation Only - Office of the Director of National Intelligence, McLean, United States
Duration: 09 Sept 202413 Sept 2024
https://na.eventscloud.com/website/72403/ (Event website)

Conference

Conference2nd Annual Intelligence Community Tech Week 2024
Abbreviated titleEmerging Technologies and the Intelligence Community
Country/TerritoryUnited States
CityMcLean
Period09/09/2413/09/24
OtherTech Week 2024 (TW24)... the learning journey begins now
Do you like solving problems? Are you interested in connecting with colleagues across government, industry, and academia? Or learning more about S&T challenges across the Intelligence Community, and how you can contribute to our mission solutions? Then...

TW24 is where you want to be!

9 - 13 September 2024

TW24 will feature keynote speakers, expert panel discussions, academic presentations, MITRE lab tours, and working sessions that will explore changing mission needs across the science and technology enterprise, and improving our ability to harness state-of-the-art technologies, including:

Artificial Intelligence
Biological Sciences
Computing
Electronics
Energy and Power
Internet address

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