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You searched for subject:(echo chamber effect). Showing records 1 – 3 of 3 total matches.

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NSYSU

1. Chen, Nan-Ning. Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations.

Degree: Master, Information Management, 2016, NSYSU

Recently, citizens have more channel to take part in public issues by using information technology. In those platform, existing diverse information about public issues. In mobile age, mobile application is an important platform of citizen participation. In this study, focusing on how information influencing citizensâ opinions of the public issues in App. Exploring the echo chamber effect and spiral of silence in App of citizen participation. This study select marriage equality and abolition of the death penalty as the research target and explore the effect of reported position (positive, negative, balance) and majorities of citizen opinion (approval, opposition, no idea) to the echo chamber effect and spiral of silence. Opinion polarization, fear of isolation and political efficacy are the moderators in this study. Using logistic regression for data analysis. The results show that majority of citizen opinion will result in echo chamber and spiral of silence, and opinion polarization will mediate the relationship between the majorities of citizen opinion to the echo chamber effect. Advisors/Committee Members: Feng-Yang Kuo (committee member), Rong-Fuh Day (chair), Hsin-Hui Lin (chair).

Subjects/Keywords: fear of isolation; opinion polarization; political efficacy; echo chamber effect; spiral of silence; citizen participation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, N. (2016). Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1127116-104228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Nan-Ning. “Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations.” 2016. Thesis, NSYSU. Accessed October 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1127116-104228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Nan-Ning. “Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations.” 2016. Web. 28 Oct 2020.

Vancouver:

Chen N. Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Oct 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1127116-104228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen N. Exploring the Reported Position of Public Issues and Majority of Citizen Opinions Influencing Citizen Opinions Expressed in App of Citizen Participations. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1127116-104228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

2. Jiang, Xuehan (author). A community-evolution based approach for detecting the echo chamber effect in recommender systems.

Degree: 2018, Delft University of Technology

Information systems, such as information retrieval machines and recommendation systems, utilize various user information and history behaviors to provide personalized content to users. However, a debate on whether the personalization in information systems can trigger the online echo chamber effect has emerged. The online echo chamber effect describes the situation that Internet users are segregated into groups based on common interests or opinions and their existing views or confirmation bias are reinforced by repetition. Based on the idea that the strong community structure of the user network suggests the emergence of the echo chamber effect, we propose a brand new methodology based on temporal community evolution to detect the echo chamber effect in recommender systems. A two-layer temporal user network is constructed, with the first layer representing the user taste similarity and the second layer encoding potential information flows between users. Then, we apply an estrangement confinement based algorithm to detect the temporal communities in the two-layer temporal network. Our experiment results on the MovieLens dataset suggest the emergence of the echo chamber effect. Moreover, we find that the echo chamber effect is becoming more remarkable over time. In addition, we observe that some users tend to stay in one community over time. These users are potentially affected by the echo chamber effect and have a higher mean node strength in both network layers.

Computer Science

Advisors/Committee Members: Wang, Huijuan (mentor), Hanjalic, Alan (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Recommender Systems; Echo Chamber Effect; Temporal Community Detection; Community Evolution; User Segregation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jiang, X. (. (2018). A community-evolution based approach for detecting the echo chamber effect in recommender systems. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52

Chicago Manual of Style (16th Edition):

Jiang, Xuehan (author). “A community-evolution based approach for detecting the echo chamber effect in recommender systems.” 2018. Masters Thesis, Delft University of Technology. Accessed October 28, 2020. http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52.

MLA Handbook (7th Edition):

Jiang, Xuehan (author). “A community-evolution based approach for detecting the echo chamber effect in recommender systems.” 2018. Web. 28 Oct 2020.

Vancouver:

Jiang X(. A community-evolution based approach for detecting the echo chamber effect in recommender systems. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 28]. Available from: http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52.

Council of Science Editors:

Jiang X(. A community-evolution based approach for detecting the echo chamber effect in recommender systems. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52


University of Houston

3. -3304-4942. Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects.

Degree: MA, Communication, University of Houston

The 2016 presidential election cast light on political polarization in the United States. Generally, the discussion regarding polarization in communication scholarship is concerned with selective exposure to partisan media and its effects. The prospect of political ‘echo chambers’ that result worries communication scholars our polarized media is detrimental to democratic discourse. One example of partisan programming is Last Week Tonight with John Oliver (LWT), an acclaimed political comedy program that critiques and comments on contemporary politics with a ‘liberal’ slant. Influenced by the Reinforcing Spirals Framework, the present study finds Democrats are more likely to agree with John Oliver on net neutrality issues, but only if the participants were exposed to John Oliver’s video clip on net neutrality. Similarly, previous exposure to LWT was associated with higher intentions to participate for those exposed to the clip. The results shed light on the process of political polarization in the United States. Advisors/Committee Members: Camaj, Lindita (advisor), Hellmueller, Lea (committee member), Cutbirth, Joe H. (committee member).

Subjects/Keywords: Political comedy; Politics; Echo chambers; Echo chamber effect; Last Week Tonight; Political polarization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-3304-4942. (n.d.). Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4072

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

Chicago Manual of Style (16th Edition):

-3304-4942. “Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects.” Masters Thesis, University of Houston. Accessed October 28, 2020. http://hdl.handle.net/10657/4072.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

MLA Handbook (7th Edition):

-3304-4942. “Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects.” Web. 28 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

Vancouver:

-3304-4942. Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects. [Internet] [Masters thesis]. University of Houston; [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10657/4072.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

Council of Science Editors:

-3304-4942. Elements of an Echo Chamber: Partisanship and Previous Exposure as Moderators of 'Last Week Tonight's' Media Effects. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/4072

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

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