Data Quality Challenges in Twitter Content Analysis for Informing Policy Making in Health Care

Abstract

Social media platforms and microblogs have become popular fora where the general public expresses opinions and concerns on a variety of matters. As a result, private and public organizations have been looking into ways for finding, understanding and communicating insights extracted from this massive amount of text-based interconnected data. There are, however, important difficulties associated with the noisiness and reliability of the content that hinder the analysis of the data. This paper reports the main challenges found in a real-world experience with social media used as a source of data to support policy making and assessment. We also propose a set of strategies for the precise retrieval of data, the profiling of social media users, and the involvement of policy makers in the analytical process.

Social data provenance framework based on zero-information loss graph database

“…etc. The whole idea of social data provenance is about quality, credibility, and trust of digital contents published on social media (Soto et al 2018;Yang et al 2019). However, social data provenance is an efficient tool for combating misinformation and to create a more trustworthy environment on social media, but zero or very minimal provenance information is provided by such social networking sites that are not sufficient to restore the trust and to improve the information literacy (Feng et al 2018).…”

“…In recent years, social data provenance has gained a lot of attentions, as it serves different purposes such as audit trail, data discovery, update propagation, incremental maintenance, rumour identification (Duong et al 2017), network extraction (Afra and Alhajj 2021) and justification of a query result, etc. In social media analytics, the credibility of an analysis is largely relying on the quality and trustworthiness of a digital content which is assured by social data provenance (Soto et al 2018;Yang et al 2019). In this way, social data provenance plays a major role in determining the amount of trust, authenticity, and quality of a digital content.…”

“…However, social media has a positive impact in expanding society's access to information as well as it quickly amplifies the influence of digital content (Soni et al 2019). However, no one cares about the truthiness, quality, and credibility of that content (Soto et al 2018;Yang et al 2019). We no longer know where this content comes from and whether it is correct or not?…”