| Item type |
JInfP(1) |
| 公開日 |
2015-01-15 |
| タイトル |
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|
タイトル |
User's Action and Decision Making of Retweet Messages towards Reducing Misinformation Spread during Disaster |
| タイトル |
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言語 |
en |
|
タイトル |
User's Action and Decision Making of Retweet Messages towards Reducing Misinformation Spread during Disaster |
| 言語 |
|
|
言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
[Special Issue on Collaboration Technologies and Network Services that Concentrate Wisdom toward Future Society] emergency, misinformation, decision making, retweet, Twitter |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者所属 |
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|
|
Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者所属 |
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Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者所属 |
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|
National Institute of Informatics, Research Organization of Information and Systems |
| 著者所属 |
|
|
|
Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者所属(英) |
|
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|
en |
|
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Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者所属(英) |
|
|
|
en |
|
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Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者所属(英) |
|
|
|
en |
|
|
National Institute of Informatics, Research Organization of Information and Systems |
| 著者所属(英) |
|
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|
en |
|
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Graduate School of Software and Information Science, Iwate Prefectural University |
| 著者名 |
NorAthiyahAbdullah
Dai, Nishioka
Yuko, Tanaka
Yuko, Murayama
|
| 著者名(英) |
Nor, AthiyahAbdullah
Dai, Nishioka
Yuko, Tanaka
Yuko, Murayama
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The online social media such as Facebook, Twitter and YouTube has been used extensively during disaster and emergency situation. Despite the advantages offered by these services on supplying information in vague situation by citizen, we raised the issue of spreading misinformation on Twitter by using retweets. Accordingly, in this study, we conduct a user survey (n=133) to investigate what is the user's action towards spread message in Twitter, and why user decide to perform retweet on the spread message. As the result of the factor analyses, we extracted 3 factors on user's action towards spread message which are: 1) Desire to spread the retweet messages as it is considered important, 2) Mark the retweet messages as favorite using Twitter “Favorite” function, and 3) Search for further information about the content of the retweet messages. Then, we further analyze why user decides to perform retweet. The results reveal that user has desire to spread the message which they think is important and the reason why they retweet it is because of the need to retweet, interesting tweet content and the tweet user. The results presented in this paper provide an understanding on user behavior of information diffusion, with the aim to reduce the spread of misinformation using Twitter during emergency situation. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The online social media such as Facebook, Twitter and YouTube has been used extensively during disaster and emergency situation. Despite the advantages offered by these services on supplying information in vague situation by citizen, we raised the issue of spreading misinformation on Twitter by using retweets. Accordingly, in this study, we conduct a user survey (n=133) to investigate what is the user's action towards spread message in Twitter, and why user decide to perform retweet on the spread message. As the result of the factor analyses, we extracted 3 factors on user's action towards spread message which are: 1) Desire to spread the retweet messages as it is considered important, 2) Mark the retweet messages as favorite using Twitter “Favorite” function, and 3) Search for further information about the content of the retweet messages. Then, we further analyze why user decides to perform retweet. The results reveal that user has desire to spread the message which they think is important and the reason why they retweet it is because of the need to retweet, interesting tweet content and the tweet user. The results presented in this paper provide an understanding on user behavior of information diffusion, with the aim to reduce the spread of misinformation using Twitter during emergency situation. |
| 書誌レコードID |
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|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA00700121 |
| 書誌情報 |
Journal of information processing
巻 23,
号 1,
p. 31-40,
発行日 2015-01-15
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1882-6652 |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-JIP2301006.pdf (1.4 MB)
