Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 96 === The ecology of media keeps changing. In early ages, “Mass media” are the only media. Nowadays, “Mass media” and “Alternative media” affect opinion formation of the society. “Mass media” are well known, and “Alternative media” are the media which influence only...
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ndltd-TW-096NCTU53940602015-10-13T13:51:50Z http://ndltd.ncl.edu.tw/handle/23224683640492127332 Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics 改良有界信心模型探討大眾媒體與小眾媒體對於意見動態的影響 Yu-ying Hsu 徐鈺瀅 碩士 國立交通大學 資訊科學與工程研究所 96 The ecology of media keeps changing. In early ages, “Mass media” are the only media. Nowadays, “Mass media” and “Alternative media” affect opinion formation of the society. “Mass media” are well known, and “Alternative media” are the media which influence only the specific target audiences. In addition to the target audiences, the communicating strategies they use, including the degree of polarization or the frequency of the broadcast ratio, are the differences between two media. Different strategies lead to different effect on the audiences. What we concern is the influence of all rank of media on the social opinion formation. We use “Bounded Confidence Model” to simulation the communication between agents, and we use the “Extended Scale Free Network” to be our social network. Based on the definition in communication, we add “Mass media” and “Alternative media” in our model. According to the results of our experiences, we find that exaggerated reports from alternative media contribute to the fragmentation and the polarization of the society, and mass media play an important role in maintaining the concordance. In some special issues, such as “gay issue”, mass media is the “educator” teaching the society correct concept. The “Alternative media” broadcasting information to specific audiences impact the society more efficiently. Chuen-Tsai Sun 孫春在 2008 學位論文 ; thesis 68 zh-TW |
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碩士 === 國立交通大學 === 資訊科學與工程研究所 === 96 === The ecology of media keeps changing. In early ages, “Mass media” are the only media. Nowadays, “Mass media” and “Alternative media” affect opinion formation of the society. “Mass media” are well known, and “Alternative media” are the media which influence only the specific target audiences. In addition to the target audiences, the communicating strategies they use, including the degree of polarization or the frequency of the broadcast ratio, are the differences between two media. Different strategies lead to different effect on the audiences. What we concern is the influence of all rank of media on the social opinion formation.
We use “Bounded Confidence Model” to simulation the communication between agents, and we use the “Extended Scale Free Network” to be our social network. Based on the definition in communication, we add “Mass media” and “Alternative media” in our model.
According to the results of our experiences, we find that exaggerated reports from alternative media contribute to the fragmentation and the polarization of the society, and mass media play an important role in maintaining the concordance. In some special issues, such as “gay issue”, mass media is the “educator” teaching the society correct concept. The “Alternative media” broadcasting information to specific audiences impact the society more efficiently.
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Chuen-Tsai Sun |
author_facet |
Chuen-Tsai Sun Yu-ying Hsu 徐鈺瀅 |
author |
Yu-ying Hsu 徐鈺瀅 |
spellingShingle |
Yu-ying Hsu 徐鈺瀅 Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
author_sort |
Yu-ying Hsu |
title |
Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
title_short |
Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
title_full |
Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
title_fullStr |
Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
title_full_unstemmed |
Using Bounded Confidence Model to Analyze the Influence of Media in Opinion Dynamics |
title_sort |
using bounded confidence model to analyze the influence of media in opinion dynamics |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/23224683640492127332 |
work_keys_str_mv |
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