This paper presents a survey on hate speech detection. Given the steadily growing body of social media content, the amount of online hate speech is also increasing. Due to the massive scale of the web, methods that automatically detect hate speech are required. Our survey describes key areas that have been explored to automatically recognize these types of utterances using natural language processing. We also discuss limits of those approaches.

We address the detection of abusive words. The task is to identify such words among a set of negative polar expressions. We propose novel features employing information from both corpora and lexical resources. These features are calibrated on a small manually annotated base lexicon which we use to produce a large lexicon. We show that the word-level information we learn cannot be equally derived from a large dataset of annotated microposts. We demonstrate the effectiveness of our (domain-independent) lexicon in the crossdomain detection of abusive microposts.

The active and healthy ageing measure reported here is calculated for the 28 European Union countries, with a specific focus on the current generation of older people and by using the latest data from multiple surveys. It covers diverse aspects of active and healthy ageing, by measuring older people’s contribution with respect to not just employment but also their unpaid familial, social and cultural contributions and their independent, healthy and secure living. The article presents the first-of-its-kind quantitative measure of active and healthy ageing in the literature on active and healthy ageing which hitherto has focused largely on concepts, definitions and public policy strategies. In this pursuit, an important contribution of this measure, referred to as the Active Ageing Index (‘AAI’), is that it also captures how countries differ with respect to capacity and enabling environments for active and healthy ageing. The AAI offers a breakdown not just by four domains of active and healthy ageing but also by gender. Key findings are that Sweden comes at the top of the country ranking, followed closely by Denmark, the United Kingdom, Finland, the Netherlands and Ireland. The four southern European countries (Italy, Portugal, Spain and Malta) are middle-ranked countries. Greece and many of the Central European countries are at the bottom, highlighting much greater untapped potentials of active and healthy ageing among older people in these countries and a need for greater policy efforts. Women fare worse than men in most countries, identifying a need for an emphasis on reducing gender disparity in experiences of active and healthy ageing. The AAI tool developed has the potential to identify the social policy mechanisms behind the differential achievements of active and healthy ageing, for example, what active and healthy ageing strategies have driven top performers, and in what respect the bottom-ranked countries have lagged behind.

Telepractice has the potential to provide greater access to speech-language intervention services for children with communication impairments. Substantiation of this delivery model is necessary for telepractice to become an accepted alternative delivery model. This study investigated the progress made by school-age children with speech sound impairments in side-by-side intervention compared with telepractice intervention. Fourteen children aged 6 through 10 years with identified speech sound disorders were randomly assigned to intervention delivered in a side-by-side or telepractice service delivery model. Intervention was provided twice a week for 30-min individual sessions during a 5-week summer intervention program. Children in both service delivery models made improvement in their speech sound production during the program. There were no significant differences between the two groups on postintervention assessments including standardized assessment and listener judgments of word productions. Measurements of treatment fidelity were also reported. The results of this study support the use of telepractice in the intervention of children’s speech sound disorders.

Older people spend much time participating in leisure activities, such as taking part in organized activities and going out, but the extent of participation may differ according to both individual and environmental resources available. Chronic health problems become more prevalent at higher ages and likely necessitate tapping different resources to maintain social participation. This paper compares predictors of participation in social leisure activities between older people with and those without multimorbidity. The European Project on Osteoarthritis (EPOSA) was conducted in Germany, UK, Italy, The Netherlands, Spain and Sweden (N = 2942, mean age 74.2 (5.2)). Multivariate regression was used to predict social leisure participation and degree of participation in people with and without multimorbidity. Fewer older people with multimorbidity participated in social leisure activities (90.6 %), compared to those without multimorbidity (93.9 %). The frequency of participation was also lower compared to people without multimorbidity. Higher socioeconomic status, widowhood, a larger network of friends, volunteering, transportation possibilities and having fewer depressive symptoms were important for (the degree of) social leisure participation. Statistically significant differences between the multimorbidity groups were observed for volunteering and driving a car, which were more important predictors of participation in those with multimorbidity. In contrast, self-reported income appeared more important for those without multimorbidity, compared to those who had multimorbidity. Policies focusing on social (network of friends), physical (physical performance) and psychological factors (depressive symptoms) and on transportation possibilities are recommended to enable all older people to participate in social leisure activities.