著者
小川 祐樹 山本 仁志 宮田 加久子
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.29, no.5, pp.483-492, 2014-09-01 (Released:2014-08-27)
参考文献数
38
被引用文献数
1

The purpose of this paper is to test the Spiral of Silence theory in Internet society. Even today Noelle-Neumann's Spiral of Silence Theory is an important topic on the formation of public opinion. In the Spiral of Silence Theory up to now, the willingness to speak out has been handled as a dependent variable. However, there is significant bias in the question as to what extent the willingness to speak out actually influences the number of times a person speaks out. In addition, snowball sampling has been used, even in regard to the distribution of opinions of persons close to an individual. Accuracy increases because the attitudes of direct close users can be studied; however, only a small portion of close users can be studied. One defect of this approach is that it is actually quite costly. We use as a dependent variable the actual number of `tweets' on Twitter rather than willingness to speak out. In addition, for the attitude of close users, we used machine learning to estimate the attitudes of persons the users came in contact with, and we quantified homogeneity. We used and combined social investigations and behavior log analysis. With these, we were able to adopt simultaneously the following to a model: 1) individuals' internal situations, which can only be clarified by a questionnaire. 2) the actual quantity of behavior and the structure of communication networks, which can only be clarified through analysis of behavior logs. In the result, we found that a person's perception that their opinion in the majority and estimated homogeneity had a positive effect on the number of times a person spoke out. Our results suggest that the spiral of silence in regard to actual speaking out on Twitter.
著者
長谷川 孝治 宮田 加久子 浦 光博
出版者
日本社会心理学会
雑誌
社会心理学研究 (ISSN:09161503)
巻号頁・発行日
vol.23, no.1, pp.45-56, 2007

This study examined the mutual influence processes between self-appraisal on the Internet and actual self-appraisal. Specifically, we researched the discrepancies in each self-evaluation, and how the degree of those discrepancies related to mental health. In a forum on the Internet, a survey with a two-wave panel design was conducted on the Web for mothers with pre-school children who were exchanging childcare information. At the time of each investigation, the actual self-appraisal (SA), the reflected self-appraisal (RSA: participants infer how a significant other evaluates them), the reflected self-appraisal on the Net (RSA-N: participants infer how a significant other in the forum in which they participate evaluates them), and mild depression were measured as an index of mental health. The result showed that the discrepancy betweerl SA and RSA-N was significantly larger than the discrepancy between SA and RSA. We further found that the level of the RSA-N score was significantly lower than that of RSA or SA. However, depression was not influenced by the lowness of the RSA-N score or the discrepancy between SA and RSA-N, but was instead influenced by the lowness of the SA score or the discrepancy between SA and RSA. Moreover, Path analysis found the self-process on the Internet. Specifically, Time 1 SA affected Time 2 RSA; in turn, RSA correlated with RSA-N at Time 2. These results suggested that the self-appraisal on the Internet was formed based on actual self-appraisal by using the Internet about an actual problem.
著者
宮田 加久子 安野 智子 市川 芳治
出版者
日本社会心理学会
雑誌
社会心理学研究 (ISSN:09161503)
巻号頁・発行日
vol.30, no.1, pp.21-34, 2014-08-18 (Released:2015-06-06)
参考文献数
43
被引用文献数
2

How do the news media stimulate political deliberation, political interest, and political knowledge? To compare the effects of online news with those of the traditional news media, we collected three types of data: a web-based survey, diary logs of mass media use, and access logs to news sites. The results showed that exposure to news media reinforced political interest and political deliberation. Online news use, however, facilitated only online deliberation, while exposure to TV and newspapers stimulated face-to-face conversation. In addition, online and TV news use had a direct effect on political knowledge. The results also showed that political conversation with the family had a direct effect on interest in politics and political knowledge, while political conversation with friends had a positive impact only on political interest. The implications of the findings were discussed in terms of how occasional political communication narrows the gap between the politically sophisticated and the less sophisticated.
著者
宮田 加久子 安野 智子 市川 芳治
出版者
日本社会心理学会
雑誌
社会心理学研究 (ISSN:09161503)
巻号頁・発行日
vol.30, no.1, pp.21-34, 2014-08-18
被引用文献数
2

How do the news media stimulate political deliberation, political interest, and political knowledge? To compare the effects of online news with those of the traditional news media, we collected three types of data: a web-based survey, diary logs of mass media use, and access logs to news sites. The results showed that exposure to news media reinforced political interest and political deliberation. Online news use, however, facilitated only online deliberation, while exposure to TV and newspapers stimulated face-to-face conversation. In addition, online and TV news use had a direct effect on political knowledge. The results also showed that political conversation with the family had a direct effect on interest in politics and political knowledge, while political conversation with friends had a positive impact only on political interest. The implications of the findings were discussed in terms of how occasional political communication narrows the gap between the politically sophisticated and the less sophisticated.
著者
山本仁志 小川祐樹 宮田加久子 池田謙一
雑誌
研究報告知能システム(ICS)
巻号頁・発行日
vol.2013, no.5, pp.1-7, 2013-03-03

ソーシャルメディアにおけるコミュニケーションは世論形成においてどのような影響を持ちうるであろうか。東日本大震災を契機に Twitter や Facebook の普及率が急増し、今後は政治的コミュニケーションメディアとしての利用が予想される。また震災と同時に発生した原子力発電所の事故によって原子力発電の政策に対して人々は選択を迫られている。本研究は、争点として原発の賛否問題を取り上げ、Twitter 上で得られる個人の発言とそこから得られる様々なネットワーク指標に加え、社会調査で得られる個人の意見、知識、価値観などの心理的態度のデータとを結びつけた分析によって Twitter による世論の形成過程を明らかにする。
著者
小川 祐樹 山本 仁志 宮田 加久子 池田 謙一
出版者
人工知能学会
雑誌
人工知能学会全国大会論文集 (ISSN:13479881)
巻号頁・発行日
vol.26, 2012

Twitter上の社会的ネットワークがもたらす情報接触やコミュニケーション環境は、意見の異なる他者への接触機会を促進させるのか、あるいは、選択的接触を促進させるのか。本研究では、これらを探るための基礎的分析として、社会調査のデータと、Twitter上で得られる個人の行動ログのデータを結びつけた分析により、個人の社会的態度とTwitter上で形成するフレンドや情報接触環境の関連性について探る。
著者
長谷川 孝治 宮田 加久子 浦 光博
出版者
日本社会心理学会
雑誌
社会心理学研究 (ISSN:09161503)
巻号頁・発行日
vol.23, no.1, pp.45-56, 2007-08-01 (Released:2017-02-08)

This study examined the mutual influence processes between self-appraisal on the Internet and actual self-appraisal. Specifically, we researched the discrepancies in each self-evaluation, and how the degree of those discrepancies related to mental health. In a forum on the Internet, a survey with a two-wave panel design was conducted on the Web for mothers with pre-school children who were exchanging childcare information. At the time of each investigation, the actual self-appraisal (SA), the reflected self-appraisal (RSA: participants infer how a significant other evaluates them), the reflected self-appraisal on the Net (RSA-N: participants infer how a significant other in the forum in which they participate evaluates them), and mild depression were measured as an index of mental health. The result showed that the discrepancy betweerl SA and RSA-N was significantly larger than the discrepancy between SA and RSA. We further found that the level of the RSA-N score was significantly lower than that of RSA or SA. However, depression was not influenced by the lowness of the RSA-N score or the discrepancy between SA and RSA-N, but was instead influenced by the lowness of the SA score or the discrepancy between SA and RSA. Moreover, Path analysis found the self-process on the Internet. Specifically, Time 1 SA affected Time 2 RSA; in turn, RSA correlated with RSA-N at Time 2. These results suggested that the self-appraisal on the Internet was formed based on actual self-appraisal by using the Internet about an actual problem.
著者
小川 祐樹 山本 仁志 宮田 加久子 池田 謙一
出版者
人工知能学会
雑誌
人工知能学会全国大会論文集 (ISSN:13479881)
巻号頁・発行日
vol.27, 2013

ソーシャルメディアにおけるコミュニケーションは世論形成においてどのような影響を持ちうるであろうか。本研究は、政治的争点である原発の賛否問題を取り上げ、Twitter上で得られる個人の発言とそこから得られる様々なネットワーク指標に加え、社会調査で得られる個人の意見、知識、価値観などの心理的態度のデータとを結びつけた分析によってTwitterによる世論の形成過程を明らかにする。