↓ Skip to main content

Detecting Insider Threats Through Language Change

Overview of attention for article published in Law and Human Behavior, January 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 1,167)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
policy
1 policy source
twitter
3 X users

Readers on

mendeley
112 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Detecting Insider Threats Through Language Change
Published in
Law and Human Behavior, January 2013
DOI 10.1037/lhb0000032
Pubmed ID
Authors
Abstract

The act of conducting an insider attack carries with it cognitive and social challenges that may affect an offender's day-to-day work behavior. We test this hypothesis by examining the language used in e-mails that were sent as part of a 6-hr workplace simulation. The simulation involved participants (N = 54) examining databases and exchanging information as part of a four-stage organized crime investigation. After the first stage, 25% of the participants were covertly incentivized to act as an "insider" by providing information to a provocateur. Analysis of the language used in participants' e-mails found that insiders became more self-focused, showed greater negative affect, and showed more cognitive processing compared to their coworkers. At the interpersonal level, insiders showed significantly more deterioration in the degree to which their language mimicked other team members over time. Our findings demonstrate how language may provide an indirect way of identifying employees who are undertaking an insider attack.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 2%
United States 1 <1%
Malaysia 1 <1%
Ireland 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Researcher 14 13%
Student > Master 11 10%
Student > Postgraduate 8 7%
Lecturer 6 5%
Other 23 21%
Unknown 26 23%
Readers by discipline
Readers by discipline Count As %
Psychology 29 26%
Computer Science 26 23%
Social Sciences 9 8%
Business, Management and Accounting 4 4%
Decision Sciences 2 2%
Other 10 9%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 October 2019.
All research outputs
#802,101
of 32,332,113 outputs
Outputs from Law and Human Behavior
#45
of 1,167 outputs
Outputs of similar age
#5,257
of 334,032 outputs
Outputs of similar age from Law and Human Behavior
#1
of 26 outputs
Altmetric has tracked 32,332,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.