Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection

Hate speech is a severe issue that affects many online platforms. So far, several studies have been performed to develop robust hate speech detection systems. Large language models like ChatGPT have recently shown a great promise in performing several tasks, including hate speech detection. However, it is crucial to comprehend the limitations of these models to build robust hate speech detection systems. To bridge this gap, our study aims to evaluate the strengths and weaknesses of the ChatGPT model in detecting hate speech at a granular level across 11 languages. Our evaluation employs a series of functionality tests that reveals various intricate failures of the model which the aggregate metrics like macro F1 or accuracy are not able to unfold. In addition, we investigate the influence of complex emotions, such as the use of emojis in hate speech, on the performance of the ChatGPT model. Our analysis highlights the shortcomings of the generative models in detecting certain types of hate speech and highlighting the need for further research and improvements in the workings of these models

Fecundity of inbred fruit fly Drosophila melanogaster on different solid culture media: An analysis

In the present study, wild-type Drosophila melanogaster collected from stock culture were sub-cultured in three different types of solid culture media  (corn, barley and wheat) and control medium for two weeks to produce F1 generation. The duration of larval and pupal development, number of pupal cases and hatched flies were scored for first generation. The results were analyzed by using one-way ANOVA, Bonferroni multiple comparison test and paired sample t-test. The control medium showed no pupal cases and hatched flies. Among all the three solid culture media tested, corn meal, barley meal and wheat meal, the latter showed highly significant results at p?0.001 than others. However, this parameter was not affected by the carbohydrate amount in the media. The present investigation is an attempt to evaluate the influence of different formulated solid culture media on the life span and reproduction of fruit flies

Cataract and its risk factor among adults residing in South Bihar, India

Background: Cataract is considered as one of the most common causes of visual impairment and the leading cause of blindness in the world. Age related cataract occurs in people above 50 years of age and the its pathogenesis is multifactorial. Therefore, the present study was aimed to assess the prevalence and risk factors for cataract.Methods: Community based cross sectional study was conducted among adults residing at urban areas of South Bihar. The data was collected by interview method, using pre-tested semi-structured questionnaire which contains socio-demographic data, dietary habits, history of diabetes or hypertension, family history of cataract and long-term sun exposure.Results: Among 240 participants, 94 (39.2%) were male and 146 (60.8%) were female. Maximum participants were aged more than 70 years. The prevalence of cataract was 52.1%.Conclusions: The prevalence of cataract was quite high and was significantly associated with age, long term sun exposure and family history of cataract

Exploring the Darkverse:A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse

The Metaverse has the potential to form the next pervasive computing archetype that can transform many aspects of work and life at a societal level. Despite the many forecasted benefits from the metaverse, its negative outcomes have remained relatively unexplored with the majority of views grounded on logical thoughts derived from prior data points linked with similar technologies, somewhat lacking academic and expert perspective. This study responds to the dark side perspectives through informed and multifaceted narratives provided by invited leading academics and experts from diverse disciplinary backgrounds. The metaverse dark side perspectives covered include: technological and consumer vulnerability, privacy, and diminished reality, human–computer interface, identity theft, invasive advertising, misinformation, propaganda, phishing, financial crimes, terrorist activities, abuse, pornography, social inclusion, mental health, sexual harassment and metaverse-triggered unintended consequences. The paper concludes with a synthesis of common themes, formulating propositions, and presenting implications for practice and policy.</p

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030