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Flash Forums and ForumReader:
Crafting an Interface for a New Kind of Online Discussion
Kushal Dave, [email protected]*Martin Wattenberg, [email protected]
Michael J. Muller, [email protected]
IBM Research / Collaborative User Experience
Cambridge, MA USA
*Work done at IBM
Outline
• Flash Forums– What are they?– Why do they matter?
• ForumReader– Design decisions– Demo
• User feedback– Jam trial– Lab study
• Conclusions
Reading 892 of these is hard!
Flash forum examples
• Slashdot– “News for nerds” portal– Several articles discussed daily– Hundreds of posts per topic within a day
• IBM Jams– Company-wide discussions– Several broad forums– Thousands of posts over 3 days
• Blog comments, news discussions, et al.• As much text as a small novel
Flash Forums
In contrast to Usenet and other ongoing forums…
• Diffuse authorship• Large size• Focused topic• Short duration
• Cf. flash mobs: “a large group of people who gather in a usually predetermined location, perform some brief action, and then quickly disperse” [wordspy.com]
• Often, shallower threads
Flash forums are less conversational
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Percent of messages that are replies
Pe
rce
nt
of
au
tho
rs p
os
tin
g m
ore
th
an
on
ce
Usenet
Slashdot
JamFlash forums
Flash forum threads are shallower
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0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19Thread depth
Per
cen
t o
f m
ess
ages
Usenet (Linux)
Usenet (Prog)
VJam (Role)
VJam (Impact)
Slashdot (MySQL)
Slashdot (Windows)
Flash forums
Why diffuse authorship matters
• Authors are relevant…– Some known users on Slashdot– Some key personalities in IBM– Metadata about users (reputation,
seniority) provide cues• …but ideas become focus
– Users indicate ideas trump authors (unlike Usenet)
– Official and distributed moderation (try to) create meritocracy
Why time limits matter
“A Jam’s authenticity is derived from the fact that it’s a real-time and finite event, and that there are real, often serendipitous ‘knowledge accidents’ among participants that emerge because of the time constraint imposed.”
[Dorsett, Fontaine, O’Driscoll]
Why size and topic matter
• Many simultaneous posts, constrained topic, and shallow threads lead to:– Thread drift– Particular themes split across threads– Diminished utility of threads as filters
Discussion interfaces
• Much work on Usenet– Conversation Map– Netscan
• Our problem is different– Authors are inadequate filters– Threads are inadequate filters– Everything happens at once– Basically, the discussion is one big mess
ForumReader
• Easily move around the discussion• Many ways to enter discussion• Sense of orientation• Integrate visualization and text analytics
• Builds on existing work in thumbnail interfaces– SeeSoft/SeeSys, Reader’s Helper, Context
Lens
DEMO!
Jam feedback
• 8,973 posts, 22,000 participants• Survey of 1,248 participants:
– 16% used ForumReader successfully– Important (3.5 / 5) and satisfying (3.2 / 5)– Value in orientation– Ability to find themes came up repeatedly “Amazing. To be able to locate
commonalities, etc., and analyze the worth of this VALUABLE effort IS GREAT!”
But we still didn’t know…
• How do users navigate discussions? What cues do they use?
• Does the interface really help them understand the scope of discussions and find information? Which features are most valuable?
Lab study design
2x2 varying visualization, text analysis
Data Collected• Describe expectation• Explore discussion• Identify key arguments• Generate mindmap or outline• Indicate relative amounts of discussion of
topics• Argue for or against• Evaluation
4 4
4 4
VisualizationY N
Tex
t A
nal
ytic
sN
Y
Preference
0
1
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3
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6
Color by author
Color by re
cency
Layered text v
iew
Tree View
Color by ty
pe
Click to
search
List of e
xtracted to
pics
Color by sim
ilarity
Graphic map
Color selector
Color by m
oderation
Type to search
Scrollbar
Simple te
xt view
Su
bje
cts
' ra
tin
g o
f fe
atu
re
Users consider map, search andmoderation highlighting as valuableas scrollbar and text view.
Performance
• Visualization and text analytics might improve performance individually, but detract together. Bullet Items
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1
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5
6
7
8
9
10
noViz Viz
Visual i zation
Mindmap Items
0
2
4
6
8
10
noViz Viz
Visualization
Reasons
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
noViz Viz
Visual i zation
Subjective Score
0
0.5
1
1.5
2
2.5
noViz Viz
Visual i zation
Purple:Text analytics
Blue:No text
Left columns:No viz.
Right columns:Visualization
N.S.
P<.04
p<.03
P<.05
F(1,12)=1.95
F(1,12)=5.20
F(1,12)=6.57
F(1,12)=4.26
Navigation patterns
Rows are conditions: map (top), NLP (second), control (third), map + NLP (bottom)Dots show navigation events: scrollbar/arrow keys (blue), map (red), tree (cyan)Lines show click search (black), typed search (cyan), highlighting (all others)
Users used the map (red dots) extensively, often nonlinearly.
Reading patterns
Users spent more time viewing starts of threads, highly-moderated posts, and starts of discussions.
Summary
• Flash forums present novel structure and dynamics (diffuse, big, focused, short)
• Users value cues like readwear, moderation, threads, authors (especially themselves!)
• Navigation is idiosyncratic• Our visualization and text analytics appear
to help users see more of the discussion• But too much complexity may be distracting
Future Work
• Much more to learn about flash forums– Textual analysis– User goals– Moderation systems
• Opportunities for better interfaces– Multi-dimensional filtering– Anti-filtering: emphasize novelty, variety
Thanks!