Twitter’s Coverage for the Hashtag # Corruption Cases in the State of Kuwait: An Analytical Study.

Résumé

The study aims to identify the most prominent corruption cases that were addressed by Twitter application, relevant to the Kuwaiti affairs via the hashtag # Kuwait _Corruption by analyzing the content of a sample of tweets marked with the # sign.

As far as the methodology is concerned, data have been collected with the Content Analysis tool. The study relied on the survey sampling technique of all what has been posted on Twitter about the Kuwaiti case. This included a sample of tweets that amounted to 78079 tweets during the period from January 1, 2020 to January 1, 2021 via the hashtag # Kuwait_Corruption.

The findings have shown that the majority of tweets related to corruption cases in Kuwait were of unknown source, and made a percentage of 68.3%. The study has also shown that there are significant differences in the priorities of attention to different corruption cases in the tweets, according to their source, and the differences were in favor of tweets that were issued by unknown source. Analysis has revealed that the relationship between the trend of negative corruption case tweets, and the anonymous source of these tweets was strong. The study recommended the necessity of passing legislations that can protect whistleblowers of corruption cases, focusing on studies that try to reveal the reasons for the association of political, academic, religious, and media elites with corruption in the State of Kuwait, and carrying out a study to measure the effectiveness of Media Richness Theory in non-democratic countries.