website recorded in the month following the march
11 Japan earthquake showed a rapid rise (*1) The
number is 1362140 from March 11
th
to 31
st
, and
almost of them are for the Q&A.(Figure : 2)
The SMCJ was presented with an award by the
National Institute of Science and Technology Policy
(NISTEP) for its activities to mediate between
experts and people who were affected by the crisis.
3 METHOD
The analyses for this study are based on two sets of
data collected from (1) the SMCJ website, and (2)
the website operated by a joint project including
DRS, DPRI, Kyoto University, DCRC, and Tohoku
University in Japan (2).
We compared those two data qualitatively.
Data (1) Science Alerts articles from “ the collection
of Q&A about nuclear power”
Data (2) each Science Alert articles
Data (3) Trends Words from “TR(*2) Analysis of
Online Japanese News Information on the 2011
Great Tohoku Earthquake Disaster through Yahoo!
Japan”. TR inform us hot topic of the news at the
time.
Firstly, we analyzed Science Alerts which were
released at the time. The most-read article was “ the
collection of Q&A about nuclear power”. There are
the other Science Alerts on SMCJ website, but the
page views of “Q&A” stands out the most. The
collection was made by SMCJ staff. ( Section 2.4 ).
We studied how it was made, and then we
examined the contents in detail.
Secondly, we analyzed the data (3) for TW
(trends words) between 12:00 March 13th to 19th ,
and from March 21st to 28th. The words were
derived from Yahoo News Topics written in
Japanese as of then.
4 FINDINGS
In regards to Data1, the source of information was
gathered on the web, particularly from Twitter.
SMCJ staff had always followed reliable scientists,
and gathered information from tweets written by
physicists and engineers. At the same time the staff
checked what kind of information was needed, or in
other words, what kind of questions were being
asked more on Twitter.
A summary of that information was then
presented in a Q&A style. There are 32 Q&As in the
collection, and each Q&A can be classified into one
of four categories in terms of contents. That is, a)
ask for advice about individual action, b) ask for
general knowledge, c) ask for present circumstances,
or d) authentification about hearsay information.
(Table 1)
Looking at the topics of each Q&A; radial ray,
iodine, exposure, water spray, and evacuation are
visible.
From Data (1) analysis, the largest category is d)
authentification about hearsay information, and the
second largest is b) ask for general knowledge. By
March 15
th
, category a) and c) were growing.
(Figure 3)
SMCJ staff made their collection taking into
consideration the question tweets on the time line.
The Q&A style was derived naturally.
Table 1: The Number of Q&A by category.
Category Number
a 3
b 10
c 5
d 14
Figure 3: The Number of Q&A by category from day to
day.
Table 2: Topic of Science Alerts from 13
th
to 19
th
.
13
th
relief goods, theft,
ower outage,
hypocenter , health information, disaster
medical care, radiation, decontamination,
iodine, mental health-care,
direction of the wind,
radiation, exposure, evacuation, going out,
Geiger counter, reactor, cooling, seawater,
fresh water, boracic acid, hydrogen
explosion, meltdown
16th radiation, monitoring, people with
disabilities, elderly people, vulnerable
groups
18
t
exposure, power outage, reactor, radiation,
in air, Chernobyl, vegetable, water
19
th
radiation, contamination
KMIS2014-InternationalConferenceonKnowledgeManagementandInformationSharing
328