Saudi Public Attitudes toward Social Media Platforms Handling of Corruption Issues: The Hash tag Homeland without Corruption is an Example

Abstract

This study aimed to uncover Saudi public attitudes towards combating corruption issues through precise analysis using artificial intelligence techniques on a set of responses and comments on the hashtag (#NationWithoutCorruption). The goal was to identify sentiment trends (positive-neutral-negative) towards addressing corruption issues and to monitor the forms of public interaction with these issues. This was achieved through in-depth analysis of comments on topics and prevailing content, as well as identifying the types of issues that received the highest degree of electronic engagement, whether through comments, likes, retweets, or reach views. The descriptive analytical method was used on a sample of 3,490 comments, following a four-stage model: data collection, data processing and cleaning, data analysis, and presentation of results and data, using Python language and Excel program.
Findings: The study found that the public interacts directly and emotionally with issues that express their interests and values. The words (God-bless-Salman-honor) were the most frequently repeated in the comments, indicating praise and support for the leadership. Regarding emojis, laughter, applause, support, prayer, and white and green hearts were used to indicate happiness, support, and patriotism.