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研究生:林彥伶
研究生(外文):Yen-LinLin
論文名稱:行動裝置使用者閱讀新聞之偏食現象的行為研究
論文名稱(外文):Investigating the behavior of imbalanced news consumption on mobile devices
指導教授:簡聖芬簡聖芬引用關係
指導教授(外文):Sheng-Fen Chien
學位類別:碩士
校院名稱:國立成功大學
系所名稱:創意產業設計研究所
學門:設計學門
學類:綜合設計學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:72
中文關鍵詞:新聞閱讀資訊過濾資訊偏食使用者行為行動新聞閱讀器
外文關鍵詞:news consumptioninformation filteringinformation imbalanceuser behaviormobile news app
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隨著資訊個人化的結果越來越精準,使用者能夠看到內容的多樣性也越來越低,在這樣相互循環的情況容易造成「過濾泡沫」的形成。而預防資訊偏食則是阻止「過濾泡沫」形成的最佳方法。此研究針對新聞資訊提供的方法與形式對於使用者閱讀行為可能的影響提出兩個研究問題。一、個人化過濾器如何導致偏食現象?二、什麼樣的新聞呈現方式對讀者來說較有吸引力?並藉由回答研究問題,達成以下研究目標:一、調查個人化過濾器對使用者閱讀行為的影響。二、觀察新聞的呈現形式如何影響使用者對新聞的選擇。三、提出針對行動裝置上的新聞閱讀器的設計建議。
針對研究問題進行文獻回顧,並歸納提出兩個假設,一、如果提供某新聞類型的比例較高,則使用者會選擇較多該類型的新聞來閱讀。二、若新聞使用多媒體的形式呈現,則較吸引使用者閱讀。
本研究以場域實驗進行研究假設的驗證。自行開發一個行動新聞閱讀器的應用軟體做為實驗裝置。此閱讀器具有四大功能以滿足實驗需求。擷取及顯示即時新聞內容、依照不同實驗階段與參與者的偏好來調整其顯示的內容、其操作功能簡單且容易以及收集使用者閱讀新聞的行為紀錄。其軟體主要利用網頁開發技術搭配線上資料庫為主要開發架構。
此研究之實驗招募參與者們其具有在行動裝置上閱讀新聞的習慣,此實驗分為兩個階段段進行。第一階段了解參與者們對於新聞的偏好以及閱讀行為,並依照參與者們偏食明顯的程度分成實驗組及對照組。並將第一階段所得到參與者偏好資料作為第二階段調整實驗變數的依據。在實驗的最後,比較兩個階段中參與者們閱讀新聞的行為變化。
實驗結果無法具體支持實驗假設。但此研究主要發現為,使用者不同的行為模式對於個人化過濾器的反應不同且多媒體的呈現方式不是影響使用者閱讀新聞的主要因素。作為實驗裝置的新聞閱讀器及其設計過程及開發知識對於該領域的未來研究能夠有所貢獻。最後此研究提出兩個針對行動裝置上的新聞閱讀器的設計建議。一、不同程度的新聞偏食適用於不同強度的個人化過濾器。二、讀者不同則適用不同型態的個人化過濾器。
News audiences have less varied information than in the past due to the improved performance of personalized filters. The interaction between personalized filters and user behavior may form a personal “filter bubble.” The best way to obstruct this “filter bubble” is to prevent imbalanced consumption of information. This research raises two research questions concerning the influence methods of provision and presentation styles on news reading behavior. The first question is how do personalized filters lead to imbalanced consumption? The second question is what style of news presentation is attractive to the news audience? Three research objectives are achieved by answering the two research questions: 1. To investigate the influence of personalized filters on reading behavior. 2. To observe the influence of presentation styles on news selection. 3. To make design suggestions for a mobile news app.
There are two hypotheses are proposed base on research questions and literature review. Hypothesis 1: If a mobile news app provides more news articles for a given news category, users will consume more news articles in that news category. Hypothesis 2: News presented in multimedia styles will attract consumption.
This research conducted a field experiment to verify the hypotheses. There is a mobile news app is implemented as the instrument of the experiment. The mobile news app can collect instant news from the Internet, and it displays news articles in accordance with the preferences of the participants and the phases of the experiment. The user interface is simple and easy to use. In the meantime, it records the users’ reading behavior. The mobile news app is implemented by the technology of website’s implementation. The framework of development includes an online database.
The experiment of this research recruits participants who have the habit of consuming news on mobile device. This experiment conducts in two phases: The first phase is aimed at an understanding of the preference and reading behavior of the participants. The preference data becomes the reference of the adjustment in phase two. At the end, the research compares the changes of individual participant’s reading behavior between the two phases.
The results of the experiment did not fully support the hypotheses. There are two main findings of this research. First one is that the different audience has different reactions to personalized filters. Second is that multimedia is not the main factor of news consumption. The knowledge of design and implementation of the mobile news app, instrument of this experiment, contributes to this research field for further research. Finally, this research gives two design suggestions for mobile news app: 1. Personalized filters should provide different strengths of filtering according to the level of imbalance. 2. Different types of news audiences are suited to different kind of personalized filters.
ABSTRACT II
TABLE OF CONTENTS IV
TABLE OF FIGURES VII
TABLE OF TABLES VIII
CHAPTER I. INTRODUCTION 1
1.1 Background and motivations 1
1.2 Research questions and objectives 2
1.3 Research methodology 3
1.4 Thesis organization 3
CHAPTER II. LITERATURE REVIEW 5
2.1 The way of consuming online news 5
2.1.1 News consumption with mobile devices 5
2.1.2 Information overload of news 5
2.2 Personalized news 6
2.2.1 Personalized news consumption on social media 6
2.2.2 Potential influence of personalized news 6
2.3 Picky consumption of news 7
2.3.1 Factors affecting news consumption 7
2.3.2 Information as food 8
2.4 Summary 8
CHAPTER III. STUDY OF NEWS READING BEHAVIOR 10
3.1 Hypotheses 10
3.2 Experimental design 11
3.2.1 Constant variables 12
3.2.2 Independent variables 13
3.2.3 Dependent variable: Preference score of news category 13
3.2.4 Dependent variable: Attraction score of presentation style 15
3.3 Participants 16
3.3.1 Selection criteria 16
3.3.2 Recruiting 16
3.3.3 Validation 16
3.3.4 Grouping 17
3.4 Preparation for the experiment 17
3.4.1 Instrument installation 17
3.4.2 Instrument tutorial 17
CHAPTER IV. INSTRUMENT: A MOBILE NEWS APP 20
4.1 System requirements 20
4.2 System architecture 20
4.3 Back-end data management 21
4.4 Front-end controller 22
4.5 Front-end user interface 25
CHAPTER V. RESULTS AND FINDINGS 30
5.1 Phase One: Understanding the news reading behaviors 30
5.1.1 Treatments 30
5.1.2 Participant validation 30
5.1.3 Records of reading behavior 30
5.2 Phase Two: Influences on news reading behavior 31
5.2.1 Grouping 31
5.2.2 Treatments 32
5.2.3 Data selection 34
5.2.4 Records of reading behavior 34
5.3 Verification of experimental hypotheses 36
5.3.1 Hypothesis one 36
5.3.2 Hypothesis two 38
CHAPTER VI. CONCLUSIONS 39
6.1 Contributions 39
6.1.1 Different reactions to personalized filters 39
6.1.2 Multimedia is not the major factor of news consumption 39
6.1.3 Mobile news reading app and research instrument 40
6.1.4 Suggestions for the design of mobile news apps 40
6.2 Research limitation 41
REFERENCES 43
APPENDIX 1: NEWS SOURCE 50
APPENDIX 2: PARTICIPANTS 53
APPENDIX 3: DETAIL OF INSTRUMENT IMPLEMENTATION 55
APPENDIX 4: DATA OF PHASE ONE 59
APPENDIX 5: DATA OF PHASE TWO 66
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