User Response Based Information Quality Assessment of Social Media News Posts

Abstract

Information on social media platform suffers from lack of monitoring. So the evaluation of information credibility on the social media platform is an important subject. Specifically, social media have become popular for news consumption. News in its purest form, unbiased and trustworthiness is a big challenge. Through social media the information spread at such a fast rate, that false information perceives potential to cause real-world impacts on millions of users within a minute. Despite its importance, research has not taken its upliftment to mitigate the factors influencing information quality. In this paper, we will review the content dimension by studying Information quality of news on social media. We discuss this problem by presenting a dimension and levels to IQ. We test and validate the proposed model by computing IQI through distribution. The results show that based on user responses we can provide an IQ index to the news article. Providing a scale to measure the credibility of content. The prediction that a particular news article to what extent it is trustworthy based on the analysis of user responses to the dimension of IQ can be an important step to fight against digital misinformation.