Social media heeft invloed op 8 Ws: Who, what, where, when, with what, how, why, reasons for knowledge Golden hour: informatie is beschikbaar
Misdaadanalisten – RTIC – rechercheurs Real Time Intelligence Centre Opsporing
Aanleiding van groen en rijgersberg 2011: information overload in social media investigation! (3) Technical expertise varies, tools are complex to work with or focus on a single source, plus it is hard to determine the relevance and reliability of information
Why focus on visualization? Humans are very good at reasoning with visual information The field of information visualization focuses on making large amounts of information intelligible Insight goals Card
Other example: social networks in a graph database
Include Bertin’s guidance Lines for relations Depends on insight goals Save spatial position for the most important attribute you want insight in. What to do with a large amount of attributes/insight goals?
Reduce data quantity Edge bundling Miniaturize visual glyphs
Overview+detail Powerpoint Focus+context Fisheye lens Zoom+pan Google Maps
Details on demand Continuous interaction with data
Brushing+linking Filtering History keeping
Rogers sharp & Preece
Details interview-opzet uitleggen + doel
1-4: research questions 5-8: opinion on insight in the data 9-11: usage of the tool in the intelligence process 12-13: divisibility of information 14-15: Applicability to mobile devices 16-17: applicability to work in general
Brushing and linking on the Twitter page, how to visualize the connection of different sources Limitations in support of objective reasoning
Social Media Quick Scan Presentation
DEVELOPMENT OF AN INTERACTIVE
VISUALIZATION TOOL FOR SOCIAL MEDIA
INFORMATION IN SUPPORT OF TACTICAL
FINAL-YEAR RESEARCH PROJECT
Towards a Social Media Quick
Too much (complex)
Limited response time
How can visualization of social media information
support detectives in their work?
How can the results of a quick scan of social media
information best be visualized?
How can objective reasoning be supported in the
visualization? (tunnel vision prevented)
Following from the previous question: How can the relevance
and reliability of User-Generated Content be validated?
How can the visualization(s) be accessible for people with
different technical expertise levels?
Background: Social media in police investigations
Who, what, where, when, whith what, why, in which way, why
can we say this?
From data to intelligence
1. Provenance: Is this the original piece of content?
2. Source: Who uploaded the content?
3. Date: When was the content created?
4. Location: Where was the content created?
Identify needs & requirements
11 interviews (2 female) with:
Social media investigation experts
Developing alternative designs
Building interactive versions
Build interactive prototype of one case (one type of crime)
9 interviews (male) with the same police employees
List of statements
Find factual information on persons
Look into the network of friends
Insight in the online impact of a crime
Create a visual overview of the environment of the
Show the source and context of the information
View data in a timeline
Select and export relevant information
Establishment of requirements
Quickly access data from multiple sources
Connect data from multiple sources
Collaborate and share relevant information with
Interact with the data
Combining data from multiple sources
Including several libraries for the visualizations
Twitter dataset from Jong&Dückers(2016)
Manually collected data
Focus on overview, calmness and usability
Embed the data when possible
Always show the source and link to the original content
Evaluation – interview results
“Clean”, “overview”, “easy”
Panels with overview of the sources and the golden Ws
Pin to board and export
List of friend suggestions
How to add data from other sources?
Search in table
Filter buttons on Twitter page
Evaluation – interview results
Twitter search queries
Filter on retweets
How to work with multiple cases
Move the chat-panel to a pop-up
Filter buttons for witness terms
Sort the data on number of comments
Evaluation - Usability
Mean SUS score of 80,1
(>68 is above average, 100 max)
The chosen visualizations suit the insight goals
Focus on source and context information
Applicable for users with different expertise levels
Challenges for future development
Add data real-time?
This project adds to research on developing
That can integrate multiple sources
And is accessible to users with different technical backgrounds,
This project added to the knowledge on information
overload in the police domain, the use of social
media in police investigations and what technology is
needed to support this.
The first big steps towards a Social Media Quick Scan
Great potential for supporting detectives in their
Use social media information earlier on in police