Algorithmic Bias and Its Effects on the News Market: A Qualitative Study of Jordanian Journalists' Experiences

Abstract

Journalists' work on social media platforms is now subject to the command of algorithms. Algorithms work to change the way journalists share news with their readers on digital platforms. This study examines the effects of algorithmic bias on the news market and aims to identify the negative effects associated with algorithmic bias on social media platforms within the news market. The current study belongs to the qualitative approach, and a purposive sampling method was used to reach the informants in the study. In-depth interviews were conducted with 10 Jordanian journalists who work as specialists and are responsible for news content on their media institutions' social media platforms. The findings found there are three main negative impacts of algorithms on the news market that have been identified: unfair news distribution, amplification of harmful news, and influence on public opinion. The current study contributes to clarifying the negative concerns of algorithmic bias and its impact on journalistic work, which can help journalists and media institutions find suitable solutions to overcome these concerns. Additionally, the current study paves the way for future researchers to continue focusing their research on the effects of algorithmic bias on journalists' work and the news market.