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Introduction

Computational journalism and fact checking have become increasingly important in today’s digital age as misinformation and fake news continue to spread rapidly. With the proliferation of social media platforms and online news sources, the need for accurate and reliable information has never been greater. This thesis aims to explore the use of open data sources in computational journalism and fact checking to enhance the quality and credibility of news reporting.

1.2 Background of Study

The rise of digital media has transformed the way news is produced and consumed, leading to challenges in verifying the accuracy and reliability of information. Computational journalism has emerged as a promising approach to address these challenges by using data analysis and computational tools to aid in the reporting process. Fact checking, on the other hand, plays a crucial role in ensuring the accuracy of news stories and debunking false information.

1.3 Problem Statement

The spread of fake news and misinformation poses a threat to the integrity of journalism and the public’s trust in the media. Traditional fact-checking methods can be time-consuming and resource-intensive, making it difficult to keep up with the rapid pace of information dissemination online. This research aims to investigate how open data sources can be leveraged to improve the efficiency and effectiveness of fact checking in computational journalism.

1.4 Objective of Study

The main objective of this study is to examine the potential of open data sources in enhancing computational journalism and fact checking practices. Specifically, the research aims to:

– Explore the use of open data sources for fact checking in journalism
– Evaluate the effectiveness of open data in verifying the accuracy of news stories
– Identify challenges and limitations in using open data for fact checking
– Provide recommendations for improving the use of open data in computational journalism

1.5 Limitation of Study

This study is limited in scope to the use of open data sources for fact checking in computational journalism. Other aspects of journalism ethics and practices are not within the scope of this research.

1.6 Scope of Study

The scope of this study includes an analysis of various open data sources that can be used for fact checking, a review of existing literature on computational journalism and fact checking, and an evaluation of the effectiveness of open data in verifying the accuracy of news stories.

1.7 Significance of Study

The findings of this research are expected to contribute to the growing body of knowledge on computational journalism and fact checking using open data sources. The insights gained from this study can inform journalists, news organizations, and policymakers on best practices for leveraging open data in the fight against fake news.

1.8 Structure of the Thesis

This thesis is organized into five chapters. Chapter 1 provides an introduction to the research topic, background of study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. Chapter 2 presents a comprehensive literature review on computational journalism, fact checking, and the use of open data sources. Chapter 3 outlines the research methodology used in this study, including data collection and analysis methods. Chapter 4 discusses the findings of the research and examines the implications for computational journalism and fact checking practices. Finally, Chapter 5 presents the conclusion and summary of the thesis.

1.9 Definition of Terms

– Computational journalism: The use of data analysis and computational tools in news reporting
– Fact checking: The process of verifying the accuracy of news stories and debunking false information
– Open data sources: Publicly available data that can be used for research and analysis

Thesis Overview

Computational journalism and fact checking using open data sources have become increasingly important in today’s digital age. This thesis aims to explore the potential of open data sources in enhancing the quality and credibility of news reporting. The research will focus on the use of open data for fact checking in computational journalism, evaluating its effectiveness in verifying the accuracy of news stories.

Chapter 1 provides an introduction to the research topic, background of study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. Chapter 2 presents a comprehensive literature review on computational journalism, fact checking, and the use of open data sources. Chapter 3 outlines the research methodology used in this study, including data collection and analysis methods. Chapter 4 discusses the findings of the research and examines the implications for computational journalism and fact checking practices. Finally, Chapter 5 presents the conclusion and summary of the thesis, highlighting key findings and recommendations for future research in this area.

In conclusion, this thesis aims to contribute to the growing body of knowledge on computational journalism and fact checking using open data sources. The findings of this research are expected to inform best practices for journalists, news organizations, and policymakers in the fight against fake news and misinformation in the digital age.

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