Social media has become a platform for information diffusion, voicing concerns of existing inequalities and raising public awareness of various social and societal issues. Despite the social good, social media has become a fertile ground for spreading misinformation, hate speech and conspiracy theories. The death of George Floyd in May 2020 triggered a series of protests worldwide in support of the Black Lives Matter (BLM) movement and triggered a debate about equity, inclusion and social justice. The purpose of this study is to examine the impact of misinformation and social noise on the original intended message of BLM using data from the Twitter hashtag ‘BLM’. Results from topic modelling have shown the strong presence of misinformation and social noise. Such information was most probably intended to influence, mislead and dilute the original intended message. However, despite the effort to distort the original message of BLM, results from sentiment analysis show that users’ opinions of the BLM movement remained positive.

Recent studies have shown a growing prevalence of autism spectrum disorders, accompanied by heightened concerns about the impact of misinformation on autism stigmatization, shaping public perceptions of autism. With the increase in autism cases worldwide, it is critical to have sufficient understanding, knowledge, and awareness about autism, especially among the autism information seekers. This study focused on the progression of autism information over time and investigated the relationships among various factors such as autism knowledge, awareness, stigma, misinformation, cultural beliefs, and social norms. Employing a two-phase research design approach comprising systematic literature review and survey, the study indicated an overall increase in autism knowledge and awareness, although it revealed disparities in certain ethnicities and areas such as genetic testing. Despite advancements, stigma was found to persist. Survey findings validated these observations, emphasizing the necessity for heightened autism awareness and the continued presence of stigma. Furthermore, the survey demonstrated that knowledge influences awareness, whereas cultural beliefs and social norms directly affect autism misinformation. Importantly, the study highlighted how cultural beliefs, and misinformation can hinder accurate understanding and knowledge of autism, potentially exacerbating stigma. By employing evidence-based approaches, this study offers comprehensive insights into autism, enriching the broader literature on the subject.

This study examines the global impacts of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) through a conceptual review of the related literature. AGI refers to AI systems that may match human cognitive ability across multiple domains, while ASI refers to systems that may surpass human intelligence across scientific, social, strategic, and creative tasks. Recent advances in large language models, agentic systems, and general-purpose AI have intensified concern about the gap between rapid technological development and slower adaptation in economic structures, ethical principles, and governance frameworks. This review synthesizes economic, ethical, and governance literature to examine how AGI and ASI may affect productivity, labor markets, inequality, human autonomy, safety, and institutional accountability. The literature presents competing economic scenarios, ranging from modest productivity gains to explosive growth and a possible post-labor economy marked by wage decline and weakened aggregate demand. The review also identifies risks related to value alignment, catastrophic misuse, algorithmic bias, surveillance, moral dependency, and existential harm. These risks may deepen global inequality by concentrating wealth, computational power, and decision-making authority among technologically advanced nations and dominant technology firms. The study concludes that current institutional structures remain insufficient for managing the systemic disruptions associated with AGI and ASI. A stable transition will require proactive international cooperation, stronger governance frameworks, social protection, AI capital taxation, and alignment strategies that reflect collective human values.

Recent studies have shown a growing prevalence of autism spectrum disorders, accompanied by heightened concerns about the impact of misinformation on autism stigmatization, shaping public perceptions of autism. With the increase in autism cases worldwide, it is critical to have sufficient understanding, knowledge, and awareness about autism, especially among the autism information seekers. This study focused on the progression of autism information over time and investigated the relationships among various factors such as autism knowledge, awareness, stigma, misinformation, cultural beliefs, and social norms. Employing a two-phase research design approach comprising systematic literature review and survey, the study indicated an overall increase in autism knowledge and awareness, although it revealed disparities in certain ethnicities and areas such as genetic testing. Despite advancements, stigma was found to persist. Survey findings validated these observations, emphasizing the necessity for heightened autism awareness and the continued presence of stigma. Furthermore, the survey demonstrated that knowledge influences awareness, whereas cultural beliefs and social norms directly affect autism misinformation. Importantly, the study highlighted how cultural beliefs, and misinformation can hinder accurate understanding and knowledge of autism, potentially exacerbating stigma. By employing evidence-based approaches, this study offers comprehensive insights into autism, enriching the broader literature on the subject.