Masterarbeit, 2015
103 Seiten, Note: First Class Honours
Medien / Kommunikation - Public Relations, Werbung, Marketing, Social Media
CHAPTER 1: INTRODUCTION
1.1 Introduction to Study
1.2 Focus of Research
1.3 Structure of Thesis
CHAPTER 2: LITERATURE REVIEW
2.1 Introduction
2.2 The Evolution of Google Search keywords
2.3 Google Personalisation
2.4 Echo Chamber Effect
2.5 The Filter Bubble
2.6 The Knowledge Graph - things, not strings
2.7 Search Psychology
2.8 Reliance on the Internet as an external memory bank
2.9 User sentiment
2.10 Search Influence
2.11 Ethics
2.12 Google's Monopoly
2.13 Antitrust
2.14 Trust &Reputation
2.15 Conclusion
CHAPTER 3: RESEARCH METHODOLOGY
3.1 Introduction
3.2 Epistemology
3.3 Theoretical Perspective
3.4 Research Methodology
3.5 Research Methods
3.6 Quantitative Research
3.6.1 Online Survey
3.6.2 Data Collection - General Public Online Survey
3.6.3 Data Collection - Technical and Expert Group Surveys
3.6.4 Rationale for using online surveys
3.7 Qualitative Research
3.7.1 Interview
3.7.2 Data Collection - Technical Group Interviews
3.7.3 Rationale for using interviews
3.7.4 Questionnaires
3.7.5 Data Collection - Expert Conversational Questionnaire
3.7.6 Rationale for using Conversational Expert Questionnaire
3.8 Reliability and Validity
3.9 Ethics
3.10 Limitations
3.11 Conclusion
CHAPTER 4: QUANTITATIVE RESEARCH RESULTS AND ANALYSIS
4.1 Introduction
4.2 Quantitative Results and Discussion
4.2.1 Survey Age Demographic
4.2.2 Google Personalisation Awareness
4.2.3 Google Personalisation Results Satisfaction
4.2.4 Google Influence Concerns
4.2.5 Why Use Google and would you consider changing Search Engine?
4.2.6 Personalised Advertising Influence - Remarketing
4.2.7 Ethics
4.3 Survey Conclusion
CHAPTER 5: QUALITATIVE RESEARCH RESULTS AND ANALYSIS
5.1 Introduction
5.2 Qualitative Results and Discussion - Technical Interviews
5.2.1 Google Personalisation
5.2.2 Personalisation Influence
5.2.3 Why Use Google?
5.2.4 Google Ads Remarketing/Retargeting Users
5.2.5 Google and Privacy
5.2.6 Is Personalisation Ethical?
5.3 Qualitative Results and Discussion - Expert Conversational Questionnaire
5.3.1 Survey Results Opinions
5.3.2 The Evolution of Semantic Search
5.3.3 Trust in Google
5.3.4 Reliance on Google
5.3.5 Personalisation and Ethics
5.3.6 The future of Google's Monopoly
5.4 Qualitative Conclusion
CHAPTER 6: RESEARCH CONCLUSION
6.1 Overview
6.2 Objectives
6.3 Recommendations
6.4 Self-Reflection
The primary objective of this research is to investigate the perception of the Irish public regarding Google search, focusing on how semantic search personalisation, trust, and ethical considerations influence user behavior and decision-making.
2.6 The Knowledge Graph - things, not strings
A post on the Google Blog (2012) introduced us to the Knowledge Graph and the concept of things, not strings. This concept describes traditional search, which was based on matching the user’s keywords (strings) with the best matching results available. The transition to semantic search provides a richer meaningful experience for the user, understanding real world entities or things (people, places, objects etc.) and how they are connected. It tries to take out the ambiguity from search queries.
Amerland (2013) also describes Google's knowledge graph as the brain behind semantic search. The search results of the past served us with best guess results for us to trawl through. With the knowledge graph integrated seamlessly into semantic search, Google has now become a knowledge engine that serves us with richer meaningful results, recommendations, and predictions. According to Google (2012), the Knowledge graph helps a user explore collections of linked data, which, in turn, enables us to research topics faster and at a deeper level.
The knowledge graph was appearing more in search results, according to Meyers (2013), who noted that, on the 19th July 2013, the Knowledge Graph served 26.7% of search results, a climb from a previous average of 17.8%. Meyers suggests that Google had lowered their algorithm threshold so that more queries would launch Knowledge Graph results. Purtell (2013) states that Google are now able to serve the users with a better experience. Users can find what they are looking for without having to read through each search result that may have alternative meanings.
Juel Vang (2013) in her conclusion, in the paper, Ethics of Google's Knowledge Graph: some considerations, remarks that, although the Knowledge Graph can be a key information service in user’s lives, it can also make the rest of the web appear superfluous. Google can conveniently serve knowledge Graph results on its own web page, keeping users from clicking on external search results. Juel Vang also maintains that the Knowledge Graph raises two concerning issues:
CHAPTER 1: INTRODUCTION: This chapter introduces the research topic, providing an overview of the literature, research objectives, and methodology.
CHAPTER 2: LITERATURE REVIEW: This chapter discusses existing literature, tracing the evolution from Boolean to semantic search and identifying gaps concerning user trust and ethics.
CHAPTER 3: RESEARCH METHODOLOGY: This chapter details the mixed-method research design, including the epistemology, theoretical perspective, and the use of surveys and interviews.
CHAPTER 4: QUANTITATIVE RESEARCH RESULTS AND ANALYSIS: This chapter presents the statistical findings from the online survey, focusing on public awareness, satisfaction, and concerns regarding Google.
CHAPTER 5: QUALITATIVE RESEARCH RESULTS AND ANALYSIS: This chapter provides an in-depth analysis of the technical interviews and expert questionnaires, offering a deeper understanding of user opinions.
CHAPTER 6: RESEARCH CONCLUSION: This final chapter synthesizes the research findings, draws conclusions, and offers recommendations for future study.
Google Search, Semantic Search, Personalisation, Trust, Reputation, Ethics, Filter Bubble, Echo Chamber, User Sentiment, Digital Marketing, Irish Public, Big Data, Knowledge Graph, Search Influence, Online Privacy
The thesis investigates the Irish public's perception of Google search, specifically examining the impact of semantic search personalisation, trust, and ethical implications on user behavior.
Key themes include Google's market dominance, the evolution of search algorithms, the "Echo Chamber" and "Filter Bubble" effects, and the psychological reliance on Google for information.
The study aims to understand how the Irish public views Google, particularly in relation to how it presents information and its power to influence decision-making.
A mixed-methodology approach was used, incorporating quantitative online surveys for general public data and qualitative techniques, including in-depth interviews and expert questionnaires, for specialized insights.
The main body covers the theoretical foundation (literature review), the methodological approach, a quantitative analysis of public survey data, and a qualitative analysis of expert and technical perspectives.
Significant keywords include Google Search, Semantic Search, Personalisation, Trust, Ethics, Filter Bubble, Search Influence, and Digital Marketing.
The study finds that age plays a crucial role; for example, younger "Millennial" users tend to be more aware of personalisation and show different trust patterns compared to older demographics.
Experts suggest that Google is likely to maintain its dominance due to its technological advancement, although they emphasize the growing need for transparency and regulatory oversight.
There is a significant national split in Ireland, with roughly 50% of survey respondents viewing search personalisation as unethical, highlighting a critical debate on data responsibility.
The author defines it as the intelligence behind semantic search that focuses on entities (things) rather than keywords (strings), enabling a richer and more intuitive user experience.
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