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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 周承復(Cheng-Fu Chou) | |
| dc.contributor.author | Cheng-Hsuan Wu | en |
| dc.contributor.author | 吳政軒 | zh_TW |
| dc.date.accessioned | 2021-06-15T16:30:45Z | - |
| dc.date.available | 2016-08-20 | |
| dc.date.copyright | 2015-08-20 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-08-13 | |
| dc.identifier.citation | [1] Social Bakers (2015). Facebook statistics directory, [online] http://www.
socialbakers.com/facebook-statistics/taiwan. [2] Internet usage in Asia: 2014 Q2, [online] http://www. internetworldstats.com/stats3.htm. [3] Facebook Stats for Years 2013 - 2015, [online] http:// internetworldstats.com/facebook.htm. [4] Meredith Ringel Morris, Jaime Teevan, and Katrina Panovich. What do people ask their social networks, and why?: a survey study of status message q&a behavior. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 1739–1748. ACM, 2010. [5] Alexa (2014). Top sites in Taiwan: The top 500 sites in Taiwan., [online] http: //www.alexa.com/topsites/countries/tw. [6] InsightXplorer (2014). ARO/ MMX May 2014 Media Metrix Report., [online] http://www.insightxplorer.com/news/news_07_07_14.html. [7] Theresa Sauter. ‘what’s on your mind?’writing on facebook as a tool for selfformation. new media & society, page 1461444813495160, 2013. [8] S Mo Jang, Hoon Lee, and Yong Jin Park. The more friends, the less political talk? predictors of facebook discussions among college students. Cyberpsychology, Behavior, and Social Networking, 17(5):271–275, 2014. 32 [9] Cliff Lampe, Rebecca Gray, Andrew T Fiore, and Nicole Ellison. Help is on the way: Patterns of responses to resource requests on facebook. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, pages 3–15. ACM, 2014. [10] Saleem Alhabash, Yi-hsuan Chiang, and Kanni Huang. Mam & u&g in taiwan: Differences in the uses and gratifications of facebook as a function of motivational reactivity. Computers in Human Behavior, 35:423–430, 2014. [11] Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort. Auditing algorithms: Research methods for detecting discrimination on internet platforms. Data and Discrimination: Converting Critical Concerns into Productive Inquiry, 2014. [12] Motahhare Eslami, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. I always assumed that i wasn’t really that close to [her]”: Reasoning about invisible algorithms in the news feed. In Proceedings of the 33rd Annual SIGCHI Conference on Human Factors in Computing Systems, pages 153–162, 2015. [13] Facebook Inc. How does News Feed decide which stories to show?, [online] https://www.facebook.com/help/166738576721085. [14] McGee, M. EdgeRank Is Dead: Facebook’s News Feed Algorithm Now Has Close to 100K Weight Factors., [online] http://goo.gl/x4yoja. [15] W Lance Bennett and Shanto Iyengar. A new era of minimal effects? the changing foundations of political communication. Journal of Communication, 58(4):707–731, 2008. [16] Cass R Sunstein. Republic. com 2.0. Princeton University Press, 2009. [17] R Pegoraro. Facebook news feed filtering can make friends vanish. The Washington Post, 2011. 33 [18] R Kelly Garrett. Echo chambers online?: Politically motivated selective exposure among internet news users1. Journal of Computer-Mediated Communication, 14(2): 265–285, 2009. [19] Eli Pariser. The filter bubble: What the Internet is hiding from you. Penguin UK, 2011. [20] Aniket Kittur, Ed Chi, Bryan A Pendleton, Bongwon Suh, and Todd Mytkowicz. Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. World wide web, 1(2):19, 2007. [21] Sabine Niederer and José Van Dijck. Wisdom of the crowd or technicity of content? wikipedia as a sociotechnical system. New Media & Society, 12(8):1368–1387, 2010. [22] Nojin Kwak, Ann E Williams, Xiaoru Wang, and Hoon Lee. Talking politics and engaging politics: An examination of the interactive relationships between structural features of political talk and discussion engagement. Communication Research, 32(1):87–111, 2005. [23] Judd Antin and Coye Cheshire. Readers are not free-riders: reading as a form of participation on wikipedia. In Proceedings of the 2010 ACM conference on Computer supported cooperative work, pages 127–130. ACM, 2010. [24] Daniel Gruhl, Ramanathan Guha, David Liben-Nowell, and Andrew Tomkins. Information diffusion through blogspace. In Proceedings of the 13th international conference on World Wide Web, pages 491–501. ACM, 2004. [25] Martin J Halvey and Mark T Keane. Exploring social dynamics in online media sharing. In Proceedings of the 16th international conference on World Wide Web, pages 1273–1274. ACM, 2007. [26] Jennifer Preece and Ben Shneiderman. The reader-to-leader framework: Motivating technology-mediated social participation. AIS Transactions on Human-Computer Interaction, 1(1):13–32, 2009. 34 [27] Social Media 2013: User Demographics For Facebook, Twitter, Pinterest And Instagram, [online] http://www.adweek.com/socialtimes/socialmedia- user-demographics/479579?red=at. [28] Jonathan Scott Morgan, Cliff Lampe, and Muhammad Zubair Shafiq. Is news sharing on twitter ideologically biased? In Proceedings of the 2013 conference on Computer supported cooperative work, pages 887–896. ACM, 2013. [29] Eytan Bakshy, Solomon Messing, and Lada Adamic. Exposure to ideologically diverse news and opinion on facebook. Science, page aaa1160, 2015. [30] DigitalShadow, [online] http://digitalshadow.com/. [31] Floodwatch, [online] https://floodwatch.o-c-r.org/. [32] Adam DI Kramer, Jamie E Guillory, and Jeffrey T Hancock. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24):8788–8790, 2014. [33] United Daily News site , [online] http://udn.com/news/index. [34] Ettoday News site, [online] http://www.ettoday.net/. [35] Claude Elwood Shannon. A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review, 5(1):3–55, 2001 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52854 | - |
| dc.description.abstract | 隨著近年來網路的蓬勃發展,過濾機制在我們每天接觸到的許多數
位內容都扮演著極為重要的角色,例如您使用google 得到的搜尋結果 都是它根據以往的搜尋記錄來提供個人化的回應;或是在YouTube 等 許多音樂網站也都會根據您的喜愛提供推薦列表。而臉書作為知名的 社群網站,它同時具有社交以及資訊功能,人們能在認識新朋友或是 與舊朋友保持聯絡不管你們之間到底有多遠,同時也可以在動態消息 上面閱讀各式各樣的文章,而作為世界上擁有最多使用者的社群網站, 根據統計每天有數以億計的內容跟照片在上面被分享。但是存在於臉 書動態消息的過濾機制也帶來了一些社會學者的討論傳統,”過濾氣泡 現象”以及”回聲室”這兩個現象說明臉書使用者更容易因為過濾機制 的存在而更容易去接觸到與他們意識形態或價值觀相符合的內容,但 同時也有學者認為暴露在多元的言論底下不僅可以幫助人們養成民主 思維,同時也因為在每個人都有相同權利去發表不同的意見時也會帶 來所謂的”群眾智慧”。在這個研究內,我們想量化臉書動態消息的 同質性程度,同時去找到使用者的行為對同質性程度的影響力,最後 也會提出使用者動態消息的滿意程度與同質性程度之間的關係。 | zh_TW |
| dc.description.abstract | Our daily digital life is full of algorithmically filtered content such as social
media feeds, recommendations to the pages you might like, and personalized the search results. Facebook known as the famous platform, have social function of keeping in touch with friends in despite of distances and informational function of reading articles of various categories from friends’posting. However the curating algorithm may also bring some phenomenon in Facebook News Feed. The “filter bubble”and “echo chambers”describes that individuals more accessible to the information which their own ideology similar to, or contents which have values consistent with. Many sociologists considered that the opportunity to be exposed to diverse opinion have a positive impact on developing a democratic society and bringing crowd of wisdom. In this study, we want to quantify the homogeneity on the Facebook News Feed and provide insight how user engagement involved with. And we would also discuss the relation between homogeneity and user’s satisfaction. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T16:30:45Z (GMT). No. of bitstreams: 1 ntu-104-R02922133-1.pdf: 1032327 bytes, checksum: 6aad5dd4f3ad356f9da0b73e12b65623 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 口試委員會審定書i
致謝ii 中文摘要iii Abstract iv Contents v List of Figures vii List of Tables ix 1 Introduction 1 2 Related Works 6 3 Study Design 8 3.1 Experiment Flow 8 3.2 Coding the posts 9 3.3 Questionnaire 12 4 Measures 15 4.1 Participants 15 4.2 Homogeneity Measures 16 4.3 Satisfaction Measures 18 5 Results and Analysis 20 5.1 Potential Reasons about Homogeneity 21 5.2 Relationship between Satisfaction and Homogeneity 23 6 Conclusion 30 Bibliography 32 | |
| dc.language.iso | en | |
| dc.subject | 同質性程度 | zh_TW |
| dc.subject | 動態消息 | zh_TW |
| dc.subject | 臉書 | zh_TW |
| dc.subject | en | |
| dc.subject | News Feed | en |
| dc.subject | Homogeneity | en |
| dc.title | 探討臉書動態消息的同質性程度及相關的影響因素 | zh_TW |
| dc.title | Facebook News Feed Homogeneity and Associated Factors | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 畢恆達(Herng-Dar Bih) | |
| dc.contributor.oralexamcommittee | 吳曉光(Hsiao-kuang Wu),黃心怡(Hsin-I Huang),彭立沛(Li-Pei Peng) | |
| dc.subject.keyword | 臉書,動態消息,同質性程度, | zh_TW |
| dc.subject.keyword | facebook,News Feed,Homogeneity, | en |
| dc.relation.page | 35 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-08-13 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位: | 資訊工程學系 | |
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| ntu-104-1.pdf 未授權公開取用 | 1.01 MB | Adobe PDF |
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