https://github.com/franfj/a-systematic-review-on-media-bias-detection-prisma

https://github.com/franfj/a-systematic-review-on-media-bias-detection-prisma

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• Host: GitHub
• URL: https://github.com/franfj/a-systematic-review-on-media-bias-detection-prisma
• Owner: franfj
• License: gpl-3.0
• Created: 2023-08-10T16:38:21.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-20T16:45:32.000Z (about 1 year ago)
• Last Synced: 2023-09-21T06:37:48.932Z (about 1 year ago)
• Language: Rich Text Format
• Size: 249 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A-systematic-review-on-media-bias-detection-PRISMA

This repository contains the methodology, search results, and reports related to our systematic review on media bias detection, conducted in accordance with the PRISMA guidelines.

## Contents

### Methodology and Reports

    search_report_scholar_keywords.rtf: This report details the search strategy and results obtained from Google Scholar using keywords.

    search_report_scholar_title.rtf: This report outlines the search strategy and results from Google Scholar, focusing on titles.

    search_report_scopus.rtf: A comprehensive report on the search strategy and results from the Scopus database.

### Search Results

    results_scholar_title: Contains the raw results from Google Scholar based on title searches.

    results_scopus: Contains the raw results from the Scopus database search.

    results: This file aggregates all the results from the different search strategies.

    results_scholar: Contains the combined results from both keyword and title searches on Google Scholar.

### Usage

To replicate our methodology and validate our findings:

    - Review the methodology and reports to understand the search strategies employed.

    - Examine the raw search results to see the papers and articles that were initially identified.

    - Cross-reference with the aggregated results to understand the final set of papers included in our systematic review.

### Contributing

While this repository primarily serves as a record of our systematic review, contributions in the form of corrections or suggestions for future updates are welcome. Please open an issue or submit a pull request.

### Citation

```

F.-J. Rodrigo-Ginés, J. Carrillo-de-Albornoz and L. Plaza, A systematic

review on media bias detection: What is media bias, how it is expressed, and how to detect it.

Expert Systems With Applications (2023), doi: https://doi.org/10.1016/j.eswa.2023.121641.

```