Social Media and Solutions for Detecting Fake News: A Study of Four Northern Provinces of Afghanistan

Social media, commonly known as social networks, has become a prominent platform for fulfilling users' information needs because of its many advantages and features. Along with its immense popularity, users encounter much false and misleading information through these platforms. The main objective of this research is to detect and identify fake news and misinformation in Afghanistan. This research employed a survey method and questionnaire tool. The target population consisted of journalists, students of journalism faculties in four provinces (Balkh, Jawzjan, Faryab, and Baghlan), and media managers. The sampling method used was random, and 300 questionnaires were distributed. After the data was collected and completed, it was analyzed descriptively using SPSS software. The theoretical foundation of this research is grounded in the "network society" and "filter bubble." theories. The findings indicated that within the statistical community under investigation, the level of recognition and critical analysis of information and media content by social media users is significantly low. This deficiency contributes to several concerning issues, including the facilitation of psychological warfare, the prevalence of ambiguous information sources, and the widespread inability to distinguish between fake news and factual content. These factors collectively result in manipulating public opinion, increased confusion in understanding factual news, susceptibility to suggestion, social disillusionment, and a growing sense of pessimism among consumers toward societal actors and vice versa. Additionally, this environment fosters the undeserved credibility of individuals who spread misinformation, encourages hasty decision-making, and promotes economic and informational consumerism.