Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World

Abstract

In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems. In addition, we survey the most outstanding related papers to this study. Open challenges based on this framework are described as well, and a proposed methodology to minimize these challenges is given. Finally, the conclusion and further research points that are worth studying are discussed.

A Scoping Review of the Relationship of Big Data Analytics with Context-Based Fake News Detection on Digital Media in Data Age

“…In the modern age led by social media applications, online fake news is a great challenge; therefore, big data analytics are highly significant to identify correct information from the flood of misinformation effectively. Lewis and Westlund [42], Olmedilla et al [12], Guo and Vargo [43], Golbeck et al [2], Khan et al [6)], Jung et al [8], King and Wang [18], and Darwiesh et al [22] also reported similar results in their studies.…”

“…Murayama [44] concluded that a big dataset assessed the truthfulness of a certain piece of news from news content being posted at digital media forums. Darwiesh et al [22] inferred that social media big data analytics was a promised solution to develop classical business intelligence systems for detecting false online news. Raza and Ding [39] recommended that big data sets proved valuable in fake news identification in modern times of technological innovations.…”

“…The complex nature of fake news and social media comments accompanied by doubtful images or videos create suspicions in viewers' minds [33,44]. Social media data possess misinformation, fake accounts, and fake news [22]. Fake data spreads faster and penetrates social networks to a larger extent than credible news [16].…”

“…Massive and unstructured data on social media within a short time-span and building effective gathering data tools are big challenges due to the different structures, types, and the huge amount and velocity of creation data on social media platforms. As data are unstructured and collected from a wide range of users, the quality of data will be decreased [22]. Challenges of content evaluation, changing users' behaviors, overflowing of information resources, unmanageable spammy content, and shortage of labeled data are barriers to identifying online news authenticity [3,20].…”

“…Big data analytics assist in finding out correct information speedily from large stored data and reducing the harms of fake news being circulated on digital media [21]. Social media big data analytics provides a solution to build an intelligent system to take effective decisions based on correct information [22].…”